diff --git a/docs/src/content/docs/configuration/Optimization/low-vram-mode.mdx b/docs/src/content/docs/configuration/Optimization/low-vram-mode.mdx
index 125171a86b7..162a810d737 100644
--- a/docs/src/content/docs/configuration/Optimization/low-vram-mode.mdx
+++ b/docs/src/content/docs/configuration/Optimization/low-vram-mode.mdx
@@ -4,7 +4,7 @@ sidebar:
   order: 2
 ---
 
-As of v5.6.0, Invoke has a low-VRAM mode. It works on systems with dedicated GPUs (Nvidia GPUs on Windows/Linux and AMD GPUs on Linux).
+As of v5.6.0, Invoke has a low-VRAM mode. It works on systems with dedicated GPUs (Nvidia and AMD GPUs on Windows/Linux).
 
 This allows you to generate even if your GPU doesn't have enough VRAM to hold full models. Most users should be able to run even the beefiest models - like the ~24GB unquantised FLUX dev model.
 
@@ -255,7 +255,7 @@ It is strongly suggested to disable this feature:
 
 ### AMD GPUs on Windows (ROCm)
 
-Invoke does not officially support ROCm on Windows (see the [System Requirements](/start-here/system-requirements/)). If you run a ROCm build of PyTorch there anyway, Windows behaves as if the Nvidia sysmem fallback were always on: an allocation that does not fit is moved into much slower system memory instead of failing, and it stays there. Task Manager shows it as shared GPU memory. Invoke works around this where it can:
+With a ROCm build of PyTorch (see the [System Requirements](/start-here/system-requirements/)), Windows behaves as if the Nvidia sysmem fallback were always on: an allocation that does not fit is moved into much slower system memory instead of failing, and it stays there. Task Manager shows it as shared GPU memory. Invoke works around this where it can:
 
 - The model cache plans against the video-memory budget Windows grants Invoke, not against the card's total VRAM.
 - The PyTorch allocator defaults to `expandable_segments:True` (see [PyTorch CUDA allocator config](#pytorch-cuda-allocator-config)), so fragmented VRAM does not force allocations out.
diff --git a/docs/src/content/docs/start-here/manual.mdx b/docs/src/content/docs/start-here/manual.mdx
index ff93fe3413b..78cf95a82d0 100644
--- a/docs/src/content/docs/start-here/manual.mdx
+++ b/docs/src/content/docs/start-here/manual.mdx
@@ -111,6 +111,13 @@ The following commands vary depending on the version of Invoke being installed a
               --torch-backend=xpu
               ```
             </TabItem>
+            <TabItem label="AMD GPU">
+              Do not use a torch backend. AMD publishes its ROCm wheels on its own index, with the GPU kernels in a separate package per GPU target. In the next step, pin them for your GPU's target and point `uv` at that index instead:
+              ```sh
+              uv pip install <PACKAGE_SPECIFIER>==<VERSION> "torch[device-<TARGET>]==2.13.0+rocm10.0.0" "torchvision[device-<TARGET>]==0.28.0+rocm10.0.0" --index https://stable.repo.amd.com/rocm/whl-next/ --index-strategy unsafe-best-match --python 3.12 --python-preference only-managed --force-reinstall
+              ```
+              `<TARGET>` is `gfx1201` for the RX 9070 series and Radeon AI PRO R9700, `gfx1200` for the RX 9060 series, `gfx1100` for the RX 7900 series, `gfx1101` for the RX 7700 and 7800 series, `gfx1102` for the RX 7600 series, and `gfx1151` for Ryzen AI Max. For other GPUs, see AMD's [GPU target table](https://github.com/ROCm/TheRock/blob/main/RELEASES.md#gfx-target-lookup-table).
+            </TabItem>
             <TabItem label="Other / no GPU">
               Do not use a torch backend.
             </TabItem>
@@ -133,7 +140,13 @@ The following commands vary depending on the version of Invoke being installed a
               On ARM64 (`aarch64`, e.g. Raspberry Pi 5), do **not** use a torch backend. The default PyPI wheels are CPU-only on ARM64 and work out of the box.
             </TabItem>
             <TabItem label="Linux + AMD GPU">
-              Use:
+              Do not use a torch backend. Install AMD's ROCm 10 wheels from AMD's index, as the launcher does, with the GPU kernels pinned for your GPU's target:
+              ```sh
+              uv pip install <PACKAGE_SPECIFIER>==<VERSION> "torch[device-<TARGET>]==2.13.0+rocm10.0.0" "torchvision[device-<TARGET>]==0.28.0+rocm10.0.0" --index https://stable.repo.amd.com/rocm/whl-next/ --index-strategy unsafe-best-match --python 3.12 --python-preference only-managed --force-reinstall
+              ```
+              `<TARGET>` is `gfx1201` for the RX 9070 series and Radeon AI PRO R9700, `gfx1200` for the RX 9060 series, `gfx1100` for the RX 7900 series, `gfx1101` for the RX 7700 and 7800 series, `gfx1102` for the RX 7600 series, and `gfx1151` for Ryzen AI Max. For other GPUs, see AMD's [GPU target table](https://github.com/ROCm/TheRock/blob/main/RELEASES.md#gfx-target-lookup-table).
+
+              ROCm 10 has no kernels for Vega-based cards (gfx900/gfx906). For those, use PyTorch's ROCm 7.2 build instead:
               ```sh
               --torch-backend=rocm7.2
               ```
diff --git a/docs/src/content/docs/start-here/system-requirements.mdx b/docs/src/content/docs/start-here/system-requirements.mdx
index b3186060e53..9c663042797 100644
--- a/docs/src/content/docs/start-here/system-requirements.mdx
+++ b/docs/src/content/docs/start-here/system-requirements.mdx
@@ -17,7 +17,7 @@ The requirements below are rough guidelines for best performance. GPUs with less
 
 - All Apple Silicon (M1, M2, etc) Macs work, but 16GB+ memory is recommended.
 - Nvidia GPUs need compute capability 7.5 or newer (GTX 16xx, RTX 20xx and everything after) and a driver from the R580 series or newer. Maxwell, Pascal and Volta cards (GTX 9xx/10xx, Titan V, Tesla P40/P100/V100) are not supported by Invoke's CUDA build: stay on the previous Invoke release, or do a [manual install](../manual) with `--torch-backend=cu126`, whose PyTorch build still includes these GPUs (not tested by the Invoke team). With a driver that is too old, Invoke starts on the CPU and logs an error saying so; on an unsupported GPU it logs an error at startup and generation fails.
-- AMD GPUs are supported on Linux only. The VRAM requirements are the same as Nvidia GPUs.
+- AMD GPUs are supported on Windows and Linux `x86_64` through ROCm 10 (see [AMD](#amd) below for the GPUs and drivers). On Linux, Vega-based cards (gfx900/gfx906) are no longer supported. The VRAM requirements are the same as Nvidia GPUs.
 - Intel Arc GPUs (Alchemist, Battlemage and newer) are supported on Windows and Linux `x86_64`. The VRAM requirements are the same as Nvidia GPUs.
 - Linux ARM64 (`aarch64`) devices — e.g. Raspberry Pi 5, other SBCs, ARM servers — are supported in CPU-only mode. Local generation is slow without a GPU, but API-backed models (e.g. GPT Image, Gemini) work well.
 
@@ -145,8 +145,15 @@ If, after restarting the app, this doesn't improve your performance, either rest
 
 ### AMD
 
-:::tip[Linux Only]{icon="linux"}
-  AMD GPUs are supported on Linux only, due to ROCm (the AMD equivalent of CUDA) support being Linux only.
+Invoke installs AMD's ROCm 10 build of PyTorch on Windows and Linux. It brings the ROCm runtime with it, so
+there is no separate ROCm or HIP SDK to install, but the GPU needs an up-to-date driver: [AMD Software: Adrenalin
+Edition] on Windows, AMD's kernel driver on Linux (see [Linux](#linux) below). AMD's [ROCm compatibility matrix] lists the GPUs and operating
+systems ROCm 10 supports. AMD lists Windows 11; the Invoke team has run it on Windows 10 with an RX 9060 XT.
+
+:::caution[Vega-based cards on Linux]
+  ROCm 10 has no kernels for gfx900 and gfx906 (Radeon RX Vega 56/64, Radeon VII, Instinct MI25/MI50/MI60).
+  Stay on the previous Invoke release, or do a [manual install](../manual) with `--torch-backend=rocm7.2`,
+  whose PyTorch build still includes them (not tested by the Invoke team).
 :::
 
 :::caution[Bumps Ahead]
@@ -160,11 +167,33 @@ If, after restarting the app, this doesn't improve your performance, either rest
   (for example `MIOPEN_FIND_MODE=NORMAL` to let MIOpen re-tune its kernel database).
 :::
 
+:::note[Fused attention on newer Radeon GPUs]
+  On some GPUs - among them the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series -
+  PyTorch uses its fused attention kernels only when `TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL` is set.
+  Without them, attention runs on the slower math kernel, which also needs far more memory. The
+  `rocm_aotriton_experimental` setting decides. Its default, `auto`, turns the kernels on where they
+  were measured correct with ROCm 10: so far the RX 9060 series (gfx1200), where Z-Image at 1024px
+  takes 17 s instead of 36 s. Set it to `on` to try them on another GPU, and back to `auto` if images
+  come out wrong or generation fails. The startup log says whether they are on.
+:::
+
+:::note[Integrated graphics]
+  ROCm lists the Radeon graphics built into Ryzen CPUs as a GPU of its own. When a discrete GPU is
+  present, Invoke leaves the integrated one out of `generation_devices: auto`. On Windows it also hides
+  it from ROCm at startup (by setting `HIP_VISIBLE_DEVICES`) unless you set `HIP_VISIBLE_DEVICES`,
+  `CUDA_VISIBLE_DEVICES` or `ROCR_VISIBLE_DEVICES` yourself: while ROCm can see the integrated GPU,
+  Task Manager shows tens of GB of shared GPU memory for Invoke that is not really in use, and nothing
+  can run on it. Device names such as `cuda:1` in `device`, `generation_devices` and the settings then
+  count the discrete GPUs only, and naming the integrated GPU is refused with an error. Set
+  `HIP_VISIBLE_DEVICES` yourself to choose the devices.
+:::
+
 :::note[Wide-head attention runs on the math kernel]
   On ROCm builds Invoke routes attention whose head dimension exceeds 256 to PyTorch's math kernel.
   The fused kernels return wrong output there on torch 2.13 / ROCm 7.2 (measured on a W7900), which
   showed up as black or noisy images from the image VAEs - their mid-block attention is one 512-wide
-  head. The math kernel builds the whole attention matrix (about 4 GB for a 1024px VAE decode, 21 GB
+  head. With ROCm 10 they were correct on an RX 9060 XT, but RDNA3 cards have not been measured
+  again, so the threshold stays. The math kernel builds the whole attention matrix (about 4 GB for a 1024px VAE decode, 21 GB
   at 1536px), so Invoke computes it in pieces of at most 1 GB. The result can differ from a single
   math call in the last bit of a bf16 value, and each such call is roughly 10% slower. Export
   `INVOKE_ROCM_FUSED_SDPA_MAX_HEAD_DIM` to raise the threshold on a build whose fused kernels are
@@ -187,11 +216,11 @@ If, after restarting the app, this doesn't improve your performance, either rest
   `rocprof`/ROCTracer-based kernel profiling, which this disables.
 :::
 
-Run `rocm-smi` on your system's command line verify that drivers and ROCm are installed. If this command fails, or doesn't report versions, you will need to install them.
-
-Go to the [ROCm Documentation] and carefully follow the instructions for your system to get everything installed.
+#### Linux
 
-Confirm that `rocm-smi` displays driver and CUDA versions after installation.
+The ROCm libraries come with Invoke's PyTorch packages, so ROCm itself does not need to be installed. The GPU needs
+AMD's `amdgpu` kernel driver; on the distributions in AMD's [ROCm compatibility matrix], the driver that comes with
+the kernel is enough. For other distributions, follow the [ROCm Documentation] to install the driver.
 
 #### Linux - via Docker Container
 
@@ -209,6 +238,8 @@ An alternative to installing ROCm locally is to use a [ROCm docker container] to
 [Intel Arc & Iris Xe Graphics driver]: https://www.intel.com/content/www/us/en/download/785597/intel-arc-iris-xe-graphics-windows.html
 [Intel client GPU install guide]: https://dgpu-docs.intel.com/driver/client/overview.html
 [ROCm Documentation]: https://rocmdocs.amd.com
+[ROCm compatibility matrix]: https://rocm.docs.amd.com/en/docs-10.0.0/compatibility/compatibility-matrix.html
+[AMD Software: Adrenalin Edition]: https://www.amd.com/en/support/download/drivers.html
 [ROCm docker container]: https://rocmdocs.amd.com/en/latest/Deep_learning/Deep_learning.html#docker-containers
 [ROCm/ROCm#6522]: https://github.com/ROCm/ROCm/issues/6522
 [ROCm/TheRock#7051]: https://github.com/ROCm/TheRock/issues/7051
diff --git a/docs/src/generated/settings.json b/docs/src/generated/settings.json
index b08fc1de085..8a1cc4fb1ba 100644
--- a/docs/src/generated/settings.json
+++ b/docs/src/generated/settings.json
@@ -661,7 +661,7 @@
     {
       "category": "DEVICE",
       "default": "auto",
-      "description": "Devices to use for parallel generation. `auto` (the default) uses every available GPU, running one generation session per GPU concurrently and distributing jobs fairly across users \u2014 unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)",
+      "description": "Devices to use for parallel generation. `auto` (the default) uses every available GPU, except an integrated GPU next to a discrete one, running one generation session per GPU concurrently and distributing jobs fairly across users \u2014 unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)",
       "env_var": "INVOKEAI_GENERATION_DEVICES",
       "literal_values": [],
       "name": "generation_devices",
@@ -696,6 +696,21 @@
       "type": "typing.Literal['auto', 'float16', 'bfloat16', 'float32']",
       "validation": {}
     },
+    {
+      "category": "DEVICE",
+      "default": "auto",
+      "description": "Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.",
+      "env_var": "INVOKEAI_ROCM_AOTRITON_EXPERIMENTAL",
+      "literal_values": [
+        "auto",
+        "on",
+        "off"
+      ],
+      "name": "rocm_aotriton_experimental",
+      "required": false,
+      "type": "typing.Literal['auto', 'on', 'off']",
+      "validation": {}
+    },
     {
       "category": "GENERATION",
       "default": false,
diff --git a/invokeai/app/invocations/text_encoder/qwen_image_text_encoder.py b/invokeai/app/invocations/text_encoder/qwen_image_text_encoder.py
index 768f413e0e4..93b73400553 100644
--- a/invokeai/app/invocations/text_encoder/qwen_image_text_encoder.py
+++ b/invokeai/app/invocations/text_encoder/qwen_image_text_encoder.py
@@ -21,6 +21,7 @@
 from invokeai.app.services.shared.invocation_context import InvocationContext
 from invokeai.backend.model_manager.load.model_cache.model_cache import MB, MODEL_LOAD_LOCK
 from invokeai.backend.model_manager.load.model_util import calc_model_size_by_fs
+from invokeai.backend.quantization.bnb_cast_notice import silence_int8_cast_notice
 from invokeai.backend.quantization.dequantizing_linear import peak_dequant_transient_bytes
 from invokeai.backend.qwen2_5_vl.qwen2_5_vl_assets import (
     load_bundled_qwen2_5_vl_preprocessor_config_dict,
@@ -395,8 +396,6 @@ def _load_quantized_encoder(self, context: InvocationContext) -> _LoadedEncoder:
         layers to the CPU, which BnB int8 refuses with "Some modules are dispatched on
         the CPU or the disk" (issue #9147).
         """
-        import warnings
-
         from transformers import BitsAndBytesConfig, Qwen2_5_VLConfig, Qwen2_5_VLForConditionalGeneration
 
         encoder_config = context.models.get_config(self.qwen_vl_encoder.text_encoder)
@@ -415,6 +414,7 @@ def _load_quantized_encoder(self, context: InvocationContext) -> _LoadedEncoder:
             )
         else:  # int8
             bnb_config = BitsAndBytesConfig(load_in_8bit=True)
+            silence_int8_cast_notice()
 
         # Load onto this worker's execution device, never `device_map="auto"`: "auto" sizes its plan from whatever
         # VRAM is free *right now* and quietly spills to the CPU when the cached models fill the card, and it shards
@@ -464,9 +464,7 @@ def _load_quantized_encoder(self, context: InvocationContext) -> _LoadedEncoder:
             model_config = Qwen2_5_VLConfig.from_pretrained(str(encoder_path), local_files_only=True)
             state_dict = _read_checkpoint(encoder_path)
 
-            with MODEL_LOAD_LOCK.write_lock(), warnings.catch_warnings():
-                # BnB int8 internally casts bfloat16→float16; the warning is harmless
-                warnings.filterwarnings("ignore", message="MatMul8bitLt.*cast.*float16")
+            with MODEL_LOAD_LOCK.write_lock():
                 text_encoder = Qwen2_5_VLForConditionalGeneration.from_pretrained(
                     None if state_dict is not None else str(encoder_path),
                     config=model_config,
diff --git a/invokeai/app/run_app.py b/invokeai/app/run_app.py
index a74a375c988..d838dba5eb5 100644
--- a/invokeai/app/run_app.py
+++ b/invokeai/app/run_app.py
@@ -69,6 +69,12 @@ def run_app() -> None:
 
     logger = InvokeAILogger.get_logger(config=app_config)
 
+    # Before torch is imported anywhere: HIP reads its device list once, when torch initializes it, and an explicit
+    # allocator configuration below imports torch. Runs a short child process on Windows ROCm.
+    from invokeai.app.util.rocm_integrated_gpu import hide_integrated_gpus_on_rocm_windows
+
+    hide_integrated_gpus_on_rocm_windows(logger)
+
     # Configure the torch CUDA memory allocator.
     # NOTE: It is important that this happens before torch is imported.
     if app_config.pytorch_cuda_alloc_conf:
@@ -76,6 +82,13 @@ def run_app() -> None:
     else:
         apply_rocm_windows_allocator_default(logger)
 
+    # Decide on AOTriton's experimental attention kernels before anything can run attention: torch reads the switch
+    # once, at its first fused-kernel check, and the server already runs attention while starting up. This imports
+    # torch, so it comes after the allocator configuration.
+    from invokeai.app.util.rocm_aotriton import apply_rocm_aotriton_setting
+
+    apply_rocm_aotriton_setting(app_config.rocm_aotriton_experimental, app_config.generation_devices, logger)
+
     # This import must happen after configure_torch_cuda_allocator() is called, because the module imports torch.
     from invokeai.app.invocations.baseinvocation import InvocationRegistry
     from invokeai.app.invocations.load_custom_nodes import load_custom_nodes
diff --git a/invokeai/app/services/config/config_default.py b/invokeai/app/services/config/config_default.py
index ebd5a8e00cc..90cf75be8f3 100644
--- a/invokeai/app/services/config/config_default.py
+++ b/invokeai/app/services/config/config_default.py
@@ -29,6 +29,7 @@
 PRECISION = Literal["auto", "float16", "bfloat16", "float32"]
 ATTENTION_TYPE = Literal["auto", "normal", "xformers", "sliced", "torch-sdp"]
 NOISE_DTYPE = Literal["float32", "float16"]
+ROCM_AOTRITON = Literal["auto", "on", "off"]
 ATTENTION_SLICE_SIZE = Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8]
 LOG_FORMAT = Literal["plain", "color", "syslog", "legacy"]
 LOG_LEVEL = Literal["debug", "info", "warning", "error", "critical"]
@@ -127,6 +128,7 @@ class InvokeAIAppConfig(BaseSettings):
         pytorch_cuda_alloc_conf: Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to "backend:cudaMallocAsync" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally. Unset on a ROCm build of PyTorch on Windows, "expandable_segments:True" is used.
         device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, `xpu:N` (where N is a device number)
         precision: Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.<br>Valid values: `auto`, `float16`, `bfloat16`, `float32`
+        rocm_aotriton_experimental: Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.<br>Valid values: `auto`, `on`, `off`
         sequential_guidance: Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.
         noise_dtype: The dtype seeded noise is drawn in for SD1.5/SDXL, SD3, FLUX.1, FLUX.2, CogView4 and the Z-Image seed variance enhancer. `float32` draws the same noise on every platform. `float16` is the half-precision draw of earlier versions: on macOS it keeps the images your seeds gave before this update; on Windows and Linux both values give (nearly) the same images, and images made before the update cannot be reproduced there.<br>Valid values: `float32`, `float16`
         wan_memory_optimization: Enable experimental Wan memory optimizations at the cost of slower generation.
@@ -255,9 +257,10 @@ class InvokeAIAppConfig(BaseSettings):
 
     # DEVICE
     device:                      str = Field(default="auto",                description="Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, `xpu:N` (where N is a device number)", pattern=r"^(auto|cpu|mps|xpu(:\d+)?|cuda(:\d+)?)$")
-    generation_devices: Union[Literal["auto"], list[str]] = Field(default="auto", description="Devices to use for parallel generation. `auto` (the default) uses every available GPU, running one generation session per GPU concurrently and distributing jobs fairly across users — unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)")
+    generation_devices: Union[Literal["auto"], list[str]] = Field(default="auto", description="Devices to use for parallel generation. `auto` (the default) uses every available GPU, except an integrated GPU next to a discrete one, running one generation session per GPU concurrently and distributing jobs fairly across users — unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)")
     offload_text_encoders_to_idle_gpus: bool = Field(default=True,          description="When running on multiple GPUs, load text encoders onto a currently-idle GPU instead of the one running the denoise pipeline. This avoids churning the denoise model in and out of VRAM to make room for the encoder, and lets a cached encoder be reused across generations. Has no effect unless at least two `generation_devices` are configured and a GPU is idle; under full load encoders run on the session's own GPU as before.")
     precision:                PRECISION = Field(default="auto",             description="Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.")
+    rocm_aotriton_experimental: ROCM_AOTRITON = Field(default="auto",  description="Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.")
 
     # GENERATION
     sequential_guidance:           bool = Field(default=False,              description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.")
@@ -350,6 +353,14 @@ def validate_generation_devices(cls, v: Union[str, list[str]]) -> Union[str, lis
                 )
         return v
 
+    @field_validator("rocm_aotriton_experimental", mode="before")
+    @classmethod
+    def validate_rocm_aotriton_experimental(cls, v: object) -> object:
+        # YAML 1.1 reads an unquoted `on` or `off` as a boolean, and unquoted is how the setting gets written.
+        if isinstance(v, bool):
+            return "on" if v else "off"
+        return v
+
     @field_validator("base_url")
     @classmethod
     def validate_base_url(cls, v: Optional[str]) -> Optional[str]:
diff --git a/invokeai/app/util/rocm_aotriton.py b/invokeai/app/util/rocm_aotriton.py
new file mode 100644
index 00000000000..26b21cc9537
--- /dev/null
+++ b/invokeai/app/util/rocm_aotriton.py
@@ -0,0 +1,139 @@
+"""The `rocm_aotriton_experimental` setting: whether AOTriton's experimental fused SDPA kernels run on AMD GPUs.
+
+PyTorch's ROCm builds ship flash and memory-efficient attention through AOTriton, which marks some GPU architectures
+"experimental" (gfx1101, gfx1102, gfx1150, gfx1151 and gfx1200 among them). On those, torch only uses the fused
+kernels when `TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL` is set; otherwise every attention call falls back to the math
+kernel, which is slower and materializes the whole score matrix.
+
+Whether the kernels are correct depends on the build as much as on the GPU. On an RX 9060 XT (gfx1200) under torch
+2.12+rocm7.14.1, setting the variable made every flash and memory-efficient call fail with `hipErrorInvalidValue`, and
+the CLIP text encoder hung on exit. Under torch 2.13.0+rocm10.0.0 every fused case matched the math reference, and
+Z-Image at 1024px denoised in 16.7 s instead of 36 s. So `auto` turns the kernels on only for a ROCm 10 build on
+architectures they were measured on, and `on`/`off` decide for any build and GPU.
+
+torch reads the variable once per process, at the first fused-kernel check on an experimental architecture. The
+server runs attention during startup, so the setting is applied before the app is imported.
+"""
+
+import logging
+import os
+import re
+from collections.abc import Iterable
+from typing import Optional, Union
+
+from invokeai.app.services.config.config_default import ROCM_AOTRITON
+
+AOTRITON_EXPERIMENTAL_ENV = "TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL"
+
+# Architectures on which the experimental kernels were measured correct under `MIN_AUTO_ROCM_MAJOR`, with the
+# measurement: gfx1200 (RX 9060 XT), Windows, torch 2.13.0+rocm10.0.0 -- CLIP, Z-Image, FLUX and VAE attention shapes
+# all within the math kernel's own error, Z-Image 1024px 16.7 s instead of 36 s. Add an architecture only with a
+# measurement of its own.
+AUTO_MEASURED_ARCHS = frozenset({"gfx1200"})
+MIN_AUTO_ROCM_MAJOR = 10
+
+# The values `c10::utils::check_env` reads as true.
+_TRUTHY = {"1", "on", "yes", "true", "y"}
+
+
+def rocm_major_version(rocm_version: Optional[str], torch_version: str) -> Optional[int]:
+    """The ROCm major version torch was built against, or None when neither source names one.
+
+    `torch.version.rocm` (`10.0.0` on AMD's wheels) first, then the local label of the torch version (`2.13.0+rocm7.2`)
+    for a build that leaves it unset. Not `torch.version.hip`: AMD's ROCm 10 wheels report HIP 7.15.
+    """
+    match = re.match(r"(\d+)\.", rocm_version or "") or re.search(r"\+rocm(\d+)", torch_version)
+    return int(match.group(1)) if match else None
+
+
+def resolve_aotriton_experimental(
+    setting: ROCM_AOTRITON,
+    exported: Optional[str],
+    rocm_major: Optional[int],
+    archs: Iterable[str],
+) -> tuple[Optional[str], str]:
+    """Decide what `TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL` should be.
+
+    Returns the value to export (None: leave the environment as it is) and the reason, for the log.
+
+    Args:
+        setting: The `rocm_aotriton_experimental` setting.
+        exported: The variable's value already in the environment, if any. It always wins.
+        rocm_major: The ROCm major version of the torch build (see `rocm_major_version`).
+        archs: The architectures of the GPUs generation runs on, e.g. `{"gfx1200"}`.
+    """
+    if exported is not None:
+        return None, f"{AOTRITON_EXPERIMENTAL_ENV}={exported} is set in the environment"
+    if setting == "on":
+        return "1", "rocm_aotriton_experimental is 'on'"
+    if setting == "off":
+        return "0", "rocm_aotriton_experimental is 'off'"
+    archs = sorted(set(archs))
+    if rocm_major is None or rocm_major < MIN_AUTO_ROCM_MAJOR:
+        build = "a ROCm build without a version label" if rocm_major is None else f"ROCm {rocm_major}"
+        return None, f"auto: not measured on {build}"
+    if not archs:
+        return None, "auto: no ROCm GPU to generate on"
+    unmeasured = [arch for arch in archs if arch not in AUTO_MEASURED_ARCHS]
+    if unmeasured:
+        return None, f"auto: not measured on {', '.join(unmeasured)}"
+    return "1", f"auto: measured on {', '.join(archs)} with ROCm {rocm_major}"
+
+
+def _arch_name(gcn_arch_name: str) -> str:
+    """`gfx90a:sramecc+:xnack-` -> `gfx90a`."""
+    return gcn_arch_name.split(":", 1)[0]
+
+
+def apply_rocm_aotriton_setting(
+    setting: ROCM_AOTRITON,
+    generation_devices: Union[str, list[str]],
+    logger: logging.Logger,
+) -> None:
+    """Export `TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL` as the setting decides, and log the effective value.
+
+    Must run after the allocator is configured (this imports torch) and before anything runs attention. A no-op on
+    builds other than ROCm, apart from a warning for an explicit `on`.
+    """
+    import torch
+
+    if torch.version.hip is None:
+        if setting == "on":
+            logger.warning("rocm_aotriton_experimental is 'on', but this PyTorch is not a ROCm build; ignoring it.")
+        return
+
+    from invokeai.backend.util.devices import TorchDevice
+
+    archs: set[str] = set()
+    try:
+        devices = TorchDevice.get_generation_devices(generation_devices) or [TorchDevice.choose_torch_device()]
+        for device in devices:
+            if device.type == "cuda":
+                archs.add(_arch_name(torch.cuda.get_device_properties(device).gcnArchName))
+    except Exception as e:
+        logger.warning(f"Could not read the GPU architecture for rocm_aotriton_experimental: {e}")
+        archs.clear()
+
+    exported = os.environ.get(AOTRITON_EXPERIMENTAL_ENV)
+    value, reason = resolve_aotriton_experimental(
+        setting, exported, rocm_major_version(getattr(torch.version, "rocm", None), torch.__version__), archs
+    )
+    if exported is not None and setting != "auto" and (exported.strip().lower() in _TRUTHY) != (setting == "on"):
+        logger.warning(
+            f"rocm_aotriton_experimental is '{setting}', but {AOTRITON_EXPERIMENTAL_ENV}={exported} is set in the "
+            "environment and takes precedence."
+        )
+    if value is not None:
+        os.environ[AOTRITON_EXPERIMENTAL_ENV] = value
+
+    effective = os.environ.get(AOTRITON_EXPERIMENTAL_ENV)
+    enabled = effective is not None and effective.strip().lower() in _TRUTHY
+    gpus = ", ".join(sorted(archs)) or "unknown GPU"
+    if enabled:
+        logger.info(f"ROCm ({gpus}): AOTriton's experimental fused attention kernels are on ({reason}).")
+    else:
+        logger.info(
+            f"ROCm ({gpus}): AOTriton's experimental fused attention kernels are off ({reason}). On a GPU that "
+            "AOTriton marks experimental, attention then runs on the slower math kernel; set "
+            "rocm_aotriton_experimental: on to try the fused kernels."
+        )
diff --git a/invokeai/app/util/rocm_integrated_gpu.py b/invokeai/app/util/rocm_integrated_gpu.py
new file mode 100644
index 00000000000..5f4dc871315
--- /dev/null
+++ b/invokeai/app/util/rocm_integrated_gpu.py
@@ -0,0 +1,152 @@
+"""Hide integrated GPUs from HIP on Windows ROCm, before torch initializes it.
+
+HIP on Windows enumerates the Radeon graphics of a Ryzen CPU next to a discrete card. Generation leaves it out of
+`generation_devices: auto` (see `TorchDevice._auto_generation_devices`), but its mere visibility costs: measured with
+an RX 9060 XT and the gfx1036 iGPU of a Ryzen 7900, with torch 2.12+rocm7.14.1 as with 2.13.0+rocm10.0.0 and without
+any Invoke code, the process's first HIP context on the discrete card shows 17.9 GiB of shared GPU memory and its first
+kernel launch another 17.9 GiB. None of it is RAM or commit charge, but it is the counter Windows reports paging in,
+so Task Manager shows 36 GiB of shared GPU memory and Invoke's paging check reads it as memory pushed out of VRAM. Any
+kernel launched on the iGPU itself, even `torch.randn`, crashed the process with an access violation.
+
+`HIP_VISIBLE_DEVICES` avoids all of it, but HIP reads it once, when it initializes, and only HIP can tell which device
+is integrated. So a short child process asks torch -- reading device properties creates no context, so the child
+maps nothing -- and this process sets the variable before importing torch itself.
+
+The iGPU is hidden whatever `device` and `generation_devices` say, so that `cuda:N` means the same GPU everywhere: the
+settings UI lists, validates and saves devices in the numbering torch reports after hiding, and hiding only while both
+are `auto` would renumber them on the next start. No setting can usefully name the iGPU anyway: no kernel runs on it.
+"""
+
+import json
+import logging
+import os
+import queue
+import subprocess
+import sys
+import threading
+from typing import Optional
+
+from invokeai.app.util.torch_cuda_allocator import _installed_torch_is_rocm
+
+# Every variable HIP narrows its device list by. One already set means someone chose the devices; leave them be.
+VISIBILITY_ENV_VARS = ("HIP_VISIBLE_DEVICES", "CUDA_VISIBLE_DEVICES", "ROCR_VISIBLE_DEVICES")
+
+# The child prints its answer and leaves without Python's shutdown. HIP's own teardown can still hang on Windows while
+# its DLLs unload, so the probe takes the answer as soon as the line arrives and ends the child itself.
+_PROBE = (
+    "import json, os, sys, torch; "
+    "print(json.dumps([bool(getattr(torch.cuda.get_device_properties(i), 'is_integrated', False)) "
+    "for i in range(torch.cuda.device_count())])); "
+    "sys.stdout.flush(); os._exit(0)"
+)
+# Measured 1.6-2.4 s on an RX 9060 XT with a warm torch import; the margin is for a cold import of torch and its ROCm
+# libraries after a reboot. A shorter limit would buy little: a HIP that hangs while enumerating devices (seen after a
+# driver fault) hangs this process too, as soon as it imports torch.
+_PROBE_TIMEOUT_SECONDS = 60
+# A child stuck in a driver call cannot be ended at all (seen after a driver fault); it is left behind after this.
+_EXIT_WAIT_SECONDS = 5
+
+
+class ProbeFailed(Exception):
+    """The child process could not say which GPUs are integrated."""
+
+
+def probe_integrated_flags() -> list[bool]:
+    """`is_integrated` of every device HIP enumerates, asked in a child process. Raises `ProbeFailed` with the reason."""
+    try:
+        child = subprocess.Popen(
+            [sys.executable, "-c", _PROBE],
+            stdout=subprocess.PIPE,
+            stderr=subprocess.DEVNULL,
+            text=True,
+            errors="replace",
+            creationflags=getattr(subprocess, "CREATE_NO_WINDOW", 0),
+        )
+    except (OSError, subprocess.SubprocessError) as e:
+        raise ProbeFailed(f"could not start it ({e})") from e
+    answers: "queue.Queue[Optional[list[bool]]]" = queue.Queue()
+    threading.Thread(target=_read_answer, args=(child, answers), daemon=True).start()
+    try:
+        flags = answers.get(timeout=_PROBE_TIMEOUT_SECONDS)
+        if flags is None:
+            # The output ended without an answer; let the child finish so its exit code can say why.
+            _wait_for_exit(child)
+    except queue.Empty:
+        raise ProbeFailed(f"no answer within {_PROBE_TIMEOUT_SECONDS} s") from None
+    finally:
+        if child.poll() is None:
+            child.kill()
+            _wait_for_exit(child)
+    if flags is None:
+        raise ProbeFailed(f"it exited with code {child.returncode}" if child.returncode else "it gave no answer")
+    return flags
+
+
+def _read_answer(child: subprocess.Popen, answers: "queue.Queue[Optional[list[bool]]]") -> None:
+    """Put the first JSON list the child prints, skipping anything else; None once its output ends without one."""
+    assert child.stdout is not None
+    for line in child.stdout:
+        try:
+            flags = json.loads(line)
+        except ValueError:
+            continue
+        if isinstance(flags, list):
+            answers.put([bool(flag) for flag in flags])
+            return
+    answers.put(None)
+
+
+def _wait_for_exit(child: subprocess.Popen) -> None:
+    try:
+        child.wait(timeout=_EXIT_WAIT_SECONDS)
+    except subprocess.TimeoutExpired:
+        pass
+
+
+def discrete_device_visibility(flags: list[bool]) -> Optional[str]:
+    """The `HIP_VISIBLE_DEVICES` value that hides the integrated GPUs, or None when there is nothing to hide.
+
+    Nothing to hide when no GPU is integrated, and nothing *may* be hidden when every GPU is: an APU on its own is
+    what the machine generates on.
+    """
+    discrete = [str(index) for index, integrated in enumerate(flags) if not integrated]
+    if not discrete or len(discrete) == len(flags):
+        return None
+    return ",".join(discrete)
+
+
+def _torch_is_imported() -> bool:
+    return "torch" in sys.modules
+
+
+def hide_integrated_gpus_on_rocm_windows(logger: logging.Logger) -> None:
+    """Set `HIP_VISIBLE_DEVICES` to the discrete GPUs when HIP on Windows also enumerates an integrated one.
+
+    Only when no visibility variable is set: one that is chose the devices already. Must run before torch is imported.
+    """
+    if sys.platform != "win32" or any(os.environ.get(var) for var in VISIBILITY_ENV_VARS):
+        return
+    if not _installed_torch_is_rocm():
+        return
+    if _torch_is_imported():
+        logger.warning("ROCm on Windows: torch was imported before integrated GPUs could be hidden from it.")
+        return
+    try:
+        flags = probe_integrated_flags()
+    except ProbeFailed as e:
+        logger.warning(
+            f"ROCm on Windows: could not ask HIP which GPUs are integrated ({e}); leaving all of them visible. An "
+            "integrated GPU can then make Windows report tens of GB of shared GPU memory, and generating on it fails. "
+            "Set HIP_VISIBLE_DEVICES to the discrete GPUs to choose them yourself."
+        )
+        return
+    visible = discrete_device_visibility(flags)
+    if visible is None:
+        return
+    hidden = [index for index, integrated in enumerate(flags) if integrated]
+    os.environ["HIP_VISIBLE_DEVICES"] = visible
+    logger.info(
+        f"ROCm on Windows: hiding integrated GPU(s) {hidden} from HIP (HIP_VISIBLE_DEVICES={visible}), so `cuda:N` "
+        "counts the discrete GPUs only. While HIP can see an integrated GPU, Windows reports tens of GB of shared GPU "
+        "memory for Invoke that is not really in use. Set HIP_VISIBLE_DEVICES yourself to choose the devices."
+    )
diff --git a/invokeai/backend/quantization/bnb_cast_notice.py b/invokeai/backend/quantization/bnb_cast_notice.py
new file mode 100644
index 00000000000..258e2b24fee
--- /dev/null
+++ b/invokeai/backend/quantization/bnb_cast_notice.py
@@ -0,0 +1,32 @@
+"""Silence bitsandbytes' per-matmul notice that LLM.int8 casts bf16 activations to fp16.
+
+Kept apart from `bnb_llm_int8` so it imports without bitsandbytes, which is not installed on macOS: callers that load
+an int8 model through transformers install the filter before bitsandbytes is ever imported.
+"""
+
+import logging
+import warnings
+
+_INT8_CAST_NOTICE = "MatMul8bitLt: inputs will be cast from"
+
+
+class _DropInt8CastNotice(logging.Filter):
+    def filter(self, record: logging.LogRecord) -> bool:
+        return not record.getMessage().startswith(_INT8_CAST_NOTICE)
+
+
+def silence_int8_cast_notice() -> None:
+    """Silence bitsandbytes' notice that LLM.int8 casts bf16 activations to fp16.
+
+    The int8 matmul kernel only takes fp16 activations, so for our bf16 encoders the cast is correct and intended, but
+    bitsandbytes reports it on *every* matmul of *every* layer: as a UserWarning up to 0.49, through the
+    `bitsandbytes.autograd._functions` logger from 0.50, which `warnings` filters do not reach. Idempotent.
+    """
+    warnings.filterwarnings(
+        "ignore",
+        message=r"MatMul8bitLt: inputs will be cast from .* to float16 during quantization",
+        category=UserWarning,
+    )
+    bnb_logger = logging.getLogger("bitsandbytes.autograd._functions")
+    if not any(isinstance(existing, _DropInt8CastNotice) for existing in bnb_logger.filters):
+        bnb_logger.addFilter(_DropInt8CastNotice())
diff --git a/invokeai/backend/quantization/bnb_llm_int8.py b/invokeai/backend/quantization/bnb_llm_int8.py
index 52203800c81..b3d042e3837 100644
--- a/invokeai/backend/quantization/bnb_llm_int8.py
+++ b/invokeai/backend/quantization/bnb_llm_int8.py
@@ -1,21 +1,13 @@
-import warnings
-
 import bitsandbytes as bnb
 import torch
 
+from invokeai.backend.quantization.bnb_cast_notice import silence_int8_cast_notice
+
 # This file contains utils for working with models that use bitsandbytes LLM.int8() quantization.
 # The utils in this file are partially inspired by:
 # https://github.com/Lightning-AI/pytorch-lightning/blob/1551a16b94f5234a4a78801098f64d0732ef5cb5/src/lightning/fabric/plugins/precision/bitsandbytes.py
 
-# bitsandbytes' LLM.int8 matmul kernel only supports fp16 activations. Our compute dtype for the
-# (T5) encoder is bf16, so bitsandbytes casts bf16->fp16 internally and emits this UserWarning on
-# *every* matmul of *every* layer. The cast is correct and intended for LLM.int8, so silence the
-# warning here (once, at import) to avoid flooding the logs on each text-encode.
-warnings.filterwarnings(
-    "ignore",
-    message=r"MatMul8bitLt: inputs will be cast from .* to float16 during quantization",
-    category=UserWarning,
-)
+silence_int8_cast_notice()
 
 
 # NOTE(ryand): All of the custom state_dict manipulation logic in this file is pretty hacky. This could be made much
diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index 644a390d4ba..40249246035 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -1,3 +1,4 @@
+import sys
 import threading
 from collections import Counter, defaultdict
 from functools import wraps
@@ -28,6 +29,53 @@ def _xpu_is_available() -> bool:
     return hasattr(torch, "xpu") and torch.xpu.is_available()
 
 
+def _unusable_rocm_windows_igpu(device: torch.device) -> bool:
+    """Whether `device` is an integrated GPU next to a discrete one under ROCm on Windows.
+
+    Any kernel launched there crashed the process with an access violation (measured: Ryzen gfx1036 beside an RX 9060
+    XT), so naming it is refused with a clear error. An APU on its own is left alone: it is all the machine has.
+    """
+    if sys.platform != "win32" or torch.version.hip is None or device_is_integrated(device) is not True:
+        return False
+    return any(device_is_integrated(torch.device("cuda", i)) is False for i in range(torch.cuda.device_count()))
+
+
+def device_is_integrated(device: torch.device) -> Optional[bool]:
+    """Return True/False if ``device`` is an integrated GPU, or None if it cannot be determined.
+
+    XPU asks Level Zero. A CUDA device answers through its properties, which on ROCm also report AMD's integrated
+    graphics: HIP enumerates the Radeon iGPU of a Ryzen desktop CPU next to a discrete card (measured: gfx1036 beside
+    an RX 9060 XT on Windows, ``is_integrated=1``). CPU and MPS are not GPUs that could be paired with a discrete
+    card, so they answer False.
+    """
+    if device.type == "xpu":
+        return xpu_device_is_integrated(device)
+    if device.type != "cuda":
+        return False
+    try:
+        index = device.index if device.index is not None else torch.cuda.current_device()
+        flag = getattr(torch.cuda.get_device_properties(index), "is_integrated", None)
+    except Exception:
+        return None
+    return None if flag is None else bool(flag)
+
+
+def _default_cuda_device() -> torch.device:
+    """The CUDA device ``device: auto`` means: the current one, unless it is an integrated GPU and a discrete one exists.
+
+    HIP may enumerate an APU's integrated graphics before the discrete card, and the current device is the first one
+    until something pins another, so without this an iGPU could become the default device.
+    """
+    current = torch.device("cuda", torch.cuda.current_device())
+    if device_is_integrated(current) is not True:
+        return CUDA_DEVICE
+    for index in range(torch.cuda.device_count()):
+        candidate = torch.device("cuda", index)
+        if device_is_integrated(candidate) is False:
+            return candidate
+    return CUDA_DEVICE
+
+
 @deprecated("Use TorchDevice.choose_torch_dtype() instead.")  # type: ignore
 def choose_precision(device: torch.device) -> TorchPrecisionNames:
     """Return the string representation of the recommended torch device."""
@@ -119,7 +167,7 @@ def choose_torch_device(cls) -> torch.device:
         if app_config.device != "auto":
             device = torch.device(app_config.device)
         elif torch.cuda.is_available():
-            device = CUDA_DEVICE
+            device = _default_cuda_device()
         elif _xpu_is_available():
             device = XPU_DEVICE
         elif torch.backends.mps.is_available():
@@ -260,19 +308,21 @@ def _all_available_devices(cls) -> list[torch.device]:
     def _auto_generation_devices(cls) -> list[torch.device]:
         """The device list `generation_devices: auto` expands to.
 
-        Unlike CUDA, Level Zero enumerates the CPU's integrated GPU alongside any discrete card,
-        so on the mainstream Arc configuration (iGPU + discrete Arc) `auto` would dispatch half
-        the queue to the iGPU and make it a text-encoder borrow target. Drop integrated GPUs here.
+        Level Zero and ROCm enumerate the CPU's integrated GPU alongside any discrete card, so on
+        the mainstream configurations (iGPU + discrete Arc, Ryzen iGPU + discrete Radeon) `auto`
+        would dispatch half the queue to the iGPU and make it a text-encoder borrow target. Drop
+        integrated GPUs here.
 
-        Two deliberate limits: a device whose type cannot be determined is kept (the Level Zero
-        probe returns None, and narrowing on a guess is worse than the status quo), and a machine
-        whose only GPU is integrated keeps it -- otherwise there would be nothing to generate on.
-        An explicit `generation_devices` list is unaffected, so an iGPU can still be opted into.
+        Two deliberate limits: a device whose type cannot be determined is kept (the probe returns
+        None, and narrowing on a guess is worse than the status quo), and a machine whose only GPU
+        is integrated keeps it -- otherwise there would be nothing to generate on. An explicit
+        `generation_devices` list is unaffected, so an iGPU can still be opted into -- except under
+        ROCm on Windows, where no kernel runs on one (see `_unusable_rocm_windows_igpu`).
         """
         integrated: list[torch.device] = []
         remaining: list[torch.device] = []
         for device in cls._all_available_devices():
-            (integrated if xpu_device_is_integrated(device) is True else remaining).append(device)
+            (integrated if device_is_integrated(device) is True else remaining).append(device)
         if not integrated or not remaining:
             return integrated + remaining
         InvokeAILogger.get_logger(__name__).info(
@@ -288,7 +338,8 @@ def get_generation_devices(cls, generation_devices: Union[str, list[str], None])
         - ``"auto"`` (the default) defers to an explicitly pinned legacy ``device:`` setting (an
           upgraded install that pinned e.g. ``device: cuda:1`` to avoid its display GPU must not
           silently start generating on every GPU); otherwise it expands to every visible CUDA
-          device, or the single best available device (mps/cpu) when CUDA is unavailable.
+          device except integrated GPUs next to a discrete one (see `_auto_generation_devices`),
+          or the single best available device (mps/cpu) when CUDA is unavailable.
         - An explicit list is normalized and deduplicated, with order preserved, and overrides the
           legacy ``device:`` setting.
         - ``None`` or an empty list yields an empty list; the caller decides the single-device fallback.
@@ -319,6 +370,13 @@ def get_generation_devices(cls, generation_devices: Union[str, list[str], None])
                         f"generation_devices requested '{device_str}', but only {torch.cuda.device_count()} "
                         f"CUDA device(s) are available (valid indices 0-{torch.cuda.device_count() - 1})."
                     )
+                if _unusable_rocm_windows_igpu(device):
+                    raise ValueError(
+                        f"generation_devices requested '{device_str}', which is an integrated GPU; under ROCm on "
+                        "Windows nothing can run on it. Name a discrete GPU or use 'auto'. Invoke hides the integrated "
+                        "GPU at startup, so device numbers count the discrete GPUs only, unless that failed (see the "
+                        "startup log) or HIP_VISIBLE_DEVICES was set to include it."
+                    )
             elif device.type == "xpu":
                 if not _xpu_is_available():
                     raise ValueError(f"generation_devices requested '{device_str}', but no XPU device is available.")
diff --git a/invokeai/frontend/api/openapi.json b/invokeai/frontend/api/openapi.json
index 288b2b0688a..dc3fad9630f 100644
--- a/invokeai/frontend/api/openapi.json
+++ b/invokeai/frontend/api/openapi.json
@@ -59411,7 +59411,7 @@
               }
             ],
             "title": "Generation Devices",
-            "description": "Devices to use for parallel generation. `auto` (the default) uses every available GPU, running one generation session per GPU concurrently and distributing jobs fairly across users \u2014 unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)",
+            "description": "Devices to use for parallel generation. `auto` (the default) uses every available GPU, except an integrated GPU next to a discrete one, running one generation session per GPU concurrently and distributing jobs fairly across users \u2014 unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)",
             "default": "auto"
           },
           "offload_text_encoders_to_idle_gpus": {
@@ -59427,6 +59427,13 @@
             "description": "Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.",
             "default": "auto"
           },
+          "rocm_aotriton_experimental": {
+            "type": "string",
+            "enum": ["auto", "on", "off"],
+            "title": "Rocm Aotriton Experimental",
+            "description": "Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.",
+            "default": "auto"
+          },
           "sequential_guidance": {
             "type": "boolean",
             "title": "Sequential Guidance",
@@ -59795,7 +59802,7 @@
         "additionalProperties": false,
         "type": "object",
         "title": "InvokeAIAppConfig",
-        "description": "Invoke's global app configuration.\n\nTypically, you won't need to interact with this class directly. Instead, use the `get_config` function from `invokeai.app.services.config` to get a singleton config object.\n\nAttributes:\n    host: IP address to bind to. Use `0.0.0.0` to serve to your local network.\n    port: Port to bind to.\n    allow_origins: Allowed CORS origins.\n    allow_credentials: Allow CORS credentials.\n    allow_methods: Methods allowed for CORS.\n    allow_headers: Headers allowed for CORS.\n    ssl_certfile: SSL certificate file for HTTPS. See https://www.uvicorn.dev/settings/#https.\n    ssl_keyfile: SSL key file for HTTPS. See https://www.uvicorn.dev/settings/#https.\n    show_donation_link: Show the Donate to InvokeAI link in the frontend menus.\n    log_tokenization: Enable logging of parsed prompt tokens.\n    patchmatch: Enable patchmatch inpaint code.\n    models_dir: Path to the models directory.\n    convert_cache_dir: Path to the converted models cache directory (DEPRECATED, but do not delete because it is needed for migration from previous versions).\n    download_cache_dir: Path to the directory that contains dynamically downloaded models.\n    legacy_conf_dir: Path to directory of legacy checkpoint config files.\n    db_dir: Path to InvokeAI databases directory.\n    db_url: URL of a MySQL 8.4+ or MariaDB 10.11+ database to use instead of the SQLite database in `db_dir`, e.g. `mariadb+pymysql://invokeai:password@db.example/invokeai`. Needs the `mysql` extra. One InvokeAI process uses a database at a time. Read at startup only.\n    db_synchronous: SQLite durability setting. `full`, the default and what InvokeAI has always used, flushes every commit to disk. `normal` acknowledges commits without waiting for that flush - measured at roughly 12x shorter commits on an SSD - and cannot corrupt the database under WAL, which is why it is refused, with a warning, when WAL is unavailable for the database file. What `normal` gives up is the most recent transactions on a power loss or OS crash: a just-written image record or queue status, not the image file itself.<br>Valid values: `full`, `normal`\n    outputs_dir: Path to directory for outputs.\n    image_subfolder_strategy: Strategy for organizing images into subfolders. 'flat' stores all images in a single folder. 'date' organizes by YYYY/MM/DD. 'type' organizes by image category. 'hash' uses first 2 characters of UUID for filesystem performance.<br>Valid values: `flat`, `date`, `type`, `hash`\n    custom_nodes_dir: Path to directory for custom nodes.\n    style_presets_dir: Path to directory for style presets.\n    workflow_thumbnails_dir: Path to directory for workflow thumbnails.\n    log_handlers: Log handler. Valid options are \"console\", \"file=<path>\", \"syslog=path|address:host:port\", \"http=<url>\".\n    log_format: Log format. Use \"plain\" for text-only, \"color\" for colorized output, \"legacy\" for 2.3-style logging and \"syslog\" for syslog-style.<br>Valid values: `plain`, `color`, `syslog`, `legacy`\n    log_level: Emit logging messages at this level or higher.<br>Valid values: `debug`, `info`, `warning`, `error`, `critical`\n    log_sql: Log SQL queries. `log_level` must be `debug` for this to do anything. Extremely verbose.\n    log_level_network: Log level for network-related messages. 'info' and 'debug' are very verbose.<br>Valid values: `debug`, `info`, `warning`, `error`, `critical`\n    use_memory_db: Use in-memory database. Useful for development.\n    dev_reload: Automatically reload when Python sources are changed. Does not reload node definitions.\n    profile_graphs: Enable graph profiling using `cProfile`.\n    profile_prefix: An optional prefix for profile output files.\n    profiles_dir: Path to profiles output directory.\n    max_cache_ram_gb: The maximum amount of CPU RAM to use for model caching in GB. If unset, the limit will be configured based on the available RAM. In most cases, it is recommended to leave this unset.\n    max_cache_vram_gb: The amount of VRAM to use for model caching in GB. If unset, the limit will be configured based on the available VRAM and the device_working_mem_gb. In most cases, it is recommended to leave this unset.\n    reserve_vram_gb: The amount of VRAM (in GB) to subtract from the model cache's available memory budget. Defaults to 0.\n    log_memory_usage: If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature if you are actively inspecting the model cache's behaviour.\n    model_cache_keep_alive_min: How long to keep models in cache after last use, in minutes. A value of 0 (the default) means models are kept in cache indefinitely. If no model generations occur within the timeout period, the model cache is cleared using the same logic as the 'Clear Model Cache' button.\n    device_working_mem_gb: The amount of working memory to keep available on the compute device (in GB). Has no effect if running on CPU. If you are experiencing OOM errors, try increasing this value.\n    enable_partial_loading: Enable partial loading of models. This enables models to run with reduced VRAM requirements (at the cost of slower speed) by streaming the model from RAM to VRAM as its used. In some edge cases, partial loading can cause models to run more slowly if they were previously being fully loaded into VRAM.\n    keep_ram_copy_of_weights: Whether to keep a full RAM copy of a model's weights when the model is loaded in VRAM. Keeping a RAM copy increases average RAM usage, but speeds up model switching and LoRA patching (assuming there is sufficient RAM). Set this to False if RAM pressure is consistently high.\n    offload_on_architecture_switch: When a session uses main models of another architecture than the previous one on the same GPU, move every model it does not use from VRAM to RAM before it runs. Models both sessions use stay. Switching back reloads the moved models from RAM, which costs a few seconds per switch when both architectures would have fit in VRAM together; turn this off if you alternate between such models.\n    clear_vram_after_session: After every queue item (each image of a batch), move the models held in VRAM to RAM and return the freed memory to the GPU driver. The models stay cached in RAM; the next item reloads them from there, which costs a few seconds (more with keep_ram_copy_of_weights off). Changes nothing where VRAM is system memory (CPU, MPS, integrated GPUs). Turn this on if a generation that runs fine the first time runs out of memory, or slows down sharply because the GPU spills into shared memory, when it is repeated.\n    fp8_compute: Keep ComfyUI 'scaled fp8' checkpoints quantized instead of dequantizing them at load, and run their matmuls on the fp8 tensor cores (requires an Ada/SM 8.9 or newer NVIDIA GPU, or a ROCm GPU that passes an fp8 matmul probe; falls back automatically otherwise). Speeds up denoising and keeps the transformer at fp8 size - FP8 Storage alone also keeps it at that size, without the speedup - but quantizes activations as well, so images will differ from previous versions at the same seed. Reproducibility also requires the model to be FULLY resident in VRAM: a layer whose weights are still in RAM falls back to the dequantized path, and since which layers are resident shifts from run to run, the same seed then yields visibly different images. For repeatable output, ensure the model loads at 100% (e.g. enable_partial_loading=false with enough free VRAM).\n    fp8_compute_full_precision_hints: Honor the per-layer 'full_precision_matrix_mult' flags that some scaled-fp8 checkpoints ship. Those layers then dequantize on every forward instead of using the fp8 tensor cores, which can cost a large part of the fp8_compute speedup - on checkpoints that mark many layers, most of it. Set to false to run every quantized layer on the fp8 tensor cores, ignoring the producer's instruction; faster, but the marked layers were flagged as numerically sensitive, so quality may suffer. Only has an effect when fp8_compute is enabled.\n    ram: DEPRECATED: This setting is no longer used. It has been replaced by `max_cache_ram_gb`, but most users will not need to use this config since automatic cache size limits should work well in most cases. This config setting will be removed once the new model cache behavior is stable.\n    vram: DEPRECATED: This setting is no longer used. It has been replaced by `max_cache_vram_gb`, but most users will not need to use this config since automatic cache size limits should work well in most cases. This config setting will be removed once the new model cache behavior is stable.\n    lazy_offload: DEPRECATED: This setting is no longer used. Lazy-offloading is enabled by default. This config setting will be removed once the new model cache behavior is stable.\n    pytorch_cuda_alloc_conf: Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to \"backend:cudaMallocAsync\" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally. Unset on a ROCm build of PyTorch on Windows, \"expandable_segments:True\" is used.\n    device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, `xpu:N` (where N is a device number)\n    precision: Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.<br>Valid values: `auto`, `float16`, `bfloat16`, `float32`\n    sequential_guidance: Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.\n    noise_dtype: The dtype seeded noise is drawn in for SD1.5/SDXL, SD3, FLUX.1, FLUX.2, CogView4 and the Z-Image seed variance enhancer. `float32` draws the same noise on every platform. `float16` is the half-precision draw of earlier versions: on macOS it keeps the images your seeds gave before this update; on Windows and Linux both values give (nearly) the same images, and images made before the update cannot be reproduced there.<br>Valid values: `float32`, `float16`\n    wan_memory_optimization: Enable experimental Wan memory optimizations at the cost of slower generation.\n    pid_memory_optimization: Enable experimental PiD decode memory optimizations. Roughly halves the peak activation memory of a PiD decode; in exchange the decoded image changes slightly, because neither the chunked pixel pathway nor the float32 sampler intermediates are bit-exact with the default path.\n    attention_type: Attention type.<br>Valid values: `auto`, `normal`, `xformers`, `sliced`, `torch-sdp`\n    attention_slice_size: Slice size, valid when attention_type==\"sliced\".<br>Valid values: `auto`, `balanced`, `max`, `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`\n    force_tiled_decode: Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty). A tiled decode is not pixel-identical to a single-pass one: a VAE decoder normalises and attends over the whole image, so the difference is spread across it rather than confined to the tile seams. Also tiles the encode. Read by the SD1.5/SDXL, FLUX.1, Z-Image and Qwen-Image VAE nodes, the Anima encode and the Krea-2 style reference; other model families ignore it.\n    auto_tiled_decode: Decode large images in tiles when an untiled decode's estimated working memory would take most of the GPU's memory (FLUX.1, Z-Image, Qwen-Image, Krea-2 and Wan decodes). Turn off to decode untiled unless tiling is requested; the FLUX.1 and Z-Image decodes then still retry tiled after running out of memory. Anima keeps tiling a decode too large for its GPU either way, because tiling is what makes that case fast there.\n    pil_compress_level: The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = no compression, 1 = fastest with slightly larger filesize, 9 = slowest with smallest filesize. 1 is typically the best setting.\n    max_queue_size: Maximum number of items in the session queue.\n    session_queue_mode: Session queue mode. Use 'FIFO' for traditional first-in-first-out, or 'round_robin' to serve each user's jobs in turn. In single-user mode, FIFO is always used regardless of this setting.<br>Valid values: `FIFO`, `round_robin`\n    clear_queue_on_startup: Empties session queue on startup. If true, disables `max_queue_history`.\n    max_queue_history: Keep the last N completed, failed, and canceled queue items. Older items are deleted on startup. Set to 0 to prune all terminal items. Ignored if `clear_queue_on_startup` is true.\n    allow_nodes: List of nodes to allow. Omit to allow all.\n    deny_nodes: List of nodes to deny. Omit to deny none.\n    node_cache_size: How many cached nodes to keep in memory.\n    hashing_algorithm: Model hashing algorthim for model installs. 'blake3_multi' is best for SSDs. 'blake3_single' is best for spinning disk HDDs. 'random' disables hashing, instead assigning a UUID to models. Useful when using a memory db to reduce model installation time, or if you don't care about storing stable hashes for models. Alternatively, any other hashlib algorithm is accepted, though these are not nearly as performant as blake3.<br>Valid values: `blake3_multi`, `blake3_single`, `random`, `md5`, `sha1`, `sha224`, `sha256`, `sha384`, `sha512`, `blake2b`, `blake2s`, `sha3_224`, `sha3_256`, `sha3_384`, `sha3_512`, `shake_128`, `shake_256`\n    remote_api_tokens: List of regular expression and token pairs used when downloading models from URLs. The download URL is tested against the regex, and if it matches, the token is provided in as a Bearer token.\n    scan_models_on_startup: Scan the models directory on startup, registering orphaned models. This is typically only used in conjunction with `use_memory_db` for testing purposes.\n    allow_private_download_urls: Allow the download queue to fetch from loopback, link-local and private-network addresses. Disabled by default so that a download URL cannot be used to reach services that are only reachable from the server. Enable this only if you install models from a mirror on your own network.\n    download_proxy: Optional HTTP proxy for model downloads. The proxy must enforce the public-address policy because proxy-side DNS cannot be checked by InvokeAI.\n    unsafe_disable_picklescan: UNSAFE. Disable the picklescan security check during model installation. Recommended only for development and testing purposes. This will allow arbitrary code execution during model installation, so should never be used in production.\n    allow_unknown_models: Allow installation of models that we are unable to identify. If enabled, models will be marked as `unknown` in the database, and will not have any metadata associated with them. If disabled, unknown models will be rejected during installation.\n    multiuser: Enable multiuser support. When disabled, the application runs in single-user mode using a default system account with administrator privileges. When enabled, requires user authentication and authorization.\n    strict_password_checking: Enforce strict password requirements. When True, passwords must contain uppercase, lowercase, and numbers. When False (default), any password is accepted but its strength (weak/moderate/strong) is reported to the user.\n    image_index_enabled: Maintain a semantic embedding index of gallery images and videos, used by the image map and semantic search features.\n    image_index_model: Name of the installed CLIP Vision or SigLIP model used to embed gallery images and video thumbnails. Changing the model discards embeddings computed by the previous model.\n    image_index_device: Set to `cpu` to compute image embeddings on the CPU with a service-local copy of the model - avoids VRAM use and lets indexing run during generations. Any other value is ignored: embeddings otherwise run on the model cache's device, pausing while generations are in progress.\n    image_index_batch_size: Number of gallery items embedded per batch by the image index worker.\n    external_alibabacloud_api_key: API key for Alibaba Cloud DashScope image generation.\n    external_alibabacloud_base_url: Base URL override for Alibaba Cloud DashScope image generation.\n    external_atlascloud_api_key: API key for Atlas Cloud image generation.\n    external_atlascloud_base_url: Base URL override for Atlas Cloud image generation.\n    external_gemini_api_key: API key for Gemini image generation.\n    external_openai_api_key: API key for OpenAI image generation.\n    external_gemini_base_url: Base URL override for Gemini image generation.\n    external_openai_base_url: Base URL override for OpenAI image generation.\n    external_seedream_api_key: API key for Seedream image generation.\n    external_seedream_base_url: Base URL override for Seedream image generation.\n    base_url: Public base path when running behind a reverse proxy under a sub-path, e.g. `/invoke`. Set only when the proxy PRESERVES the sub-path (the backend receives `/invoke/api/...`). Leave unset when the proxy strips the sub-path or when serving at the domain root.\n    forwarded_allow_ips: Comma-separated list of IPs (or `*`) allowed to set X-Forwarded-* headers. Set to the reverse proxy's IP. Only used when `base_url` is set.\n    http_compression_level: Compression level for gzipped HTTP API responses. 0 disables response compression entirely, 1 is fastest, 9 (the default) is smallest. Compression runs on the event loop and blocks the whole server while it works, and level 9 costs about 5.5x the time of level 1 for 0.4 percentage points of extra compression, so lowering this makes the app noticeably more responsive on large libraries. Set to 0 when a reverse proxy already compresses responses."
+        "description": "Invoke's global app configuration.\n\nTypically, you won't need to interact with this class directly. Instead, use the `get_config` function from `invokeai.app.services.config` to get a singleton config object.\n\nAttributes:\n    host: IP address to bind to. Use `0.0.0.0` to serve to your local network.\n    port: Port to bind to.\n    allow_origins: Allowed CORS origins.\n    allow_credentials: Allow CORS credentials.\n    allow_methods: Methods allowed for CORS.\n    allow_headers: Headers allowed for CORS.\n    ssl_certfile: SSL certificate file for HTTPS. See https://www.uvicorn.dev/settings/#https.\n    ssl_keyfile: SSL key file for HTTPS. See https://www.uvicorn.dev/settings/#https.\n    show_donation_link: Show the Donate to InvokeAI link in the frontend menus.\n    log_tokenization: Enable logging of parsed prompt tokens.\n    patchmatch: Enable patchmatch inpaint code.\n    models_dir: Path to the models directory.\n    convert_cache_dir: Path to the converted models cache directory (DEPRECATED, but do not delete because it is needed for migration from previous versions).\n    download_cache_dir: Path to the directory that contains dynamically downloaded models.\n    legacy_conf_dir: Path to directory of legacy checkpoint config files.\n    db_dir: Path to InvokeAI databases directory.\n    db_url: URL of a MySQL 8.4+ or MariaDB 10.11+ database to use instead of the SQLite database in `db_dir`, e.g. `mariadb+pymysql://invokeai:password@db.example/invokeai`. Needs the `mysql` extra. One InvokeAI process uses a database at a time. Read at startup only.\n    db_synchronous: SQLite durability setting. `full`, the default and what InvokeAI has always used, flushes every commit to disk. `normal` acknowledges commits without waiting for that flush - measured at roughly 12x shorter commits on an SSD - and cannot corrupt the database under WAL, which is why it is refused, with a warning, when WAL is unavailable for the database file. What `normal` gives up is the most recent transactions on a power loss or OS crash: a just-written image record or queue status, not the image file itself.<br>Valid values: `full`, `normal`\n    outputs_dir: Path to directory for outputs.\n    image_subfolder_strategy: Strategy for organizing images into subfolders. 'flat' stores all images in a single folder. 'date' organizes by YYYY/MM/DD. 'type' organizes by image category. 'hash' uses first 2 characters of UUID for filesystem performance.<br>Valid values: `flat`, `date`, `type`, `hash`\n    custom_nodes_dir: Path to directory for custom nodes.\n    style_presets_dir: Path to directory for style presets.\n    workflow_thumbnails_dir: Path to directory for workflow thumbnails.\n    log_handlers: Log handler. Valid options are \"console\", \"file=<path>\", \"syslog=path|address:host:port\", \"http=<url>\".\n    log_format: Log format. Use \"plain\" for text-only, \"color\" for colorized output, \"legacy\" for 2.3-style logging and \"syslog\" for syslog-style.<br>Valid values: `plain`, `color`, `syslog`, `legacy`\n    log_level: Emit logging messages at this level or higher.<br>Valid values: `debug`, `info`, `warning`, `error`, `critical`\n    log_sql: Log SQL queries. `log_level` must be `debug` for this to do anything. Extremely verbose.\n    log_level_network: Log level for network-related messages. 'info' and 'debug' are very verbose.<br>Valid values: `debug`, `info`, `warning`, `error`, `critical`\n    use_memory_db: Use in-memory database. Useful for development.\n    dev_reload: Automatically reload when Python sources are changed. Does not reload node definitions.\n    profile_graphs: Enable graph profiling using `cProfile`.\n    profile_prefix: An optional prefix for profile output files.\n    profiles_dir: Path to profiles output directory.\n    max_cache_ram_gb: The maximum amount of CPU RAM to use for model caching in GB. If unset, the limit will be configured based on the available RAM. In most cases, it is recommended to leave this unset.\n    max_cache_vram_gb: The amount of VRAM to use for model caching in GB. If unset, the limit will be configured based on the available VRAM and the device_working_mem_gb. In most cases, it is recommended to leave this unset.\n    reserve_vram_gb: The amount of VRAM (in GB) to subtract from the model cache's available memory budget. Defaults to 0.\n    log_memory_usage: If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature if you are actively inspecting the model cache's behaviour.\n    model_cache_keep_alive_min: How long to keep models in cache after last use, in minutes. A value of 0 (the default) means models are kept in cache indefinitely. If no model generations occur within the timeout period, the model cache is cleared using the same logic as the 'Clear Model Cache' button.\n    device_working_mem_gb: The amount of working memory to keep available on the compute device (in GB). Has no effect if running on CPU. If you are experiencing OOM errors, try increasing this value.\n    enable_partial_loading: Enable partial loading of models. This enables models to run with reduced VRAM requirements (at the cost of slower speed) by streaming the model from RAM to VRAM as its used. In some edge cases, partial loading can cause models to run more slowly if they were previously being fully loaded into VRAM.\n    keep_ram_copy_of_weights: Whether to keep a full RAM copy of a model's weights when the model is loaded in VRAM. Keeping a RAM copy increases average RAM usage, but speeds up model switching and LoRA patching (assuming there is sufficient RAM). Set this to False if RAM pressure is consistently high.\n    offload_on_architecture_switch: When a session uses main models of another architecture than the previous one on the same GPU, move every model it does not use from VRAM to RAM before it runs. Models both sessions use stay. Switching back reloads the moved models from RAM, which costs a few seconds per switch when both architectures would have fit in VRAM together; turn this off if you alternate between such models.\n    clear_vram_after_session: After every queue item (each image of a batch), move the models held in VRAM to RAM and return the freed memory to the GPU driver. The models stay cached in RAM; the next item reloads them from there, which costs a few seconds (more with keep_ram_copy_of_weights off). Changes nothing where VRAM is system memory (CPU, MPS, integrated GPUs). Turn this on if a generation that runs fine the first time runs out of memory, or slows down sharply because the GPU spills into shared memory, when it is repeated.\n    fp8_compute: Keep ComfyUI 'scaled fp8' checkpoints quantized instead of dequantizing them at load, and run their matmuls on the fp8 tensor cores (requires an Ada/SM 8.9 or newer NVIDIA GPU, or a ROCm GPU that passes an fp8 matmul probe; falls back automatically otherwise). Speeds up denoising and keeps the transformer at fp8 size - FP8 Storage alone also keeps it at that size, without the speedup - but quantizes activations as well, so images will differ from previous versions at the same seed. Reproducibility also requires the model to be FULLY resident in VRAM: a layer whose weights are still in RAM falls back to the dequantized path, and since which layers are resident shifts from run to run, the same seed then yields visibly different images. For repeatable output, ensure the model loads at 100% (e.g. enable_partial_loading=false with enough free VRAM).\n    fp8_compute_full_precision_hints: Honor the per-layer 'full_precision_matrix_mult' flags that some scaled-fp8 checkpoints ship. Those layers then dequantize on every forward instead of using the fp8 tensor cores, which can cost a large part of the fp8_compute speedup - on checkpoints that mark many layers, most of it. Set to false to run every quantized layer on the fp8 tensor cores, ignoring the producer's instruction; faster, but the marked layers were flagged as numerically sensitive, so quality may suffer. Only has an effect when fp8_compute is enabled.\n    ram: DEPRECATED: This setting is no longer used. It has been replaced by `max_cache_ram_gb`, but most users will not need to use this config since automatic cache size limits should work well in most cases. This config setting will be removed once the new model cache behavior is stable.\n    vram: DEPRECATED: This setting is no longer used. It has been replaced by `max_cache_vram_gb`, but most users will not need to use this config since automatic cache size limits should work well in most cases. This config setting will be removed once the new model cache behavior is stable.\n    lazy_offload: DEPRECATED: This setting is no longer used. Lazy-offloading is enabled by default. This config setting will be removed once the new model cache behavior is stable.\n    pytorch_cuda_alloc_conf: Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to \"backend:cudaMallocAsync\" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally. Unset on a ROCm build of PyTorch on Windows, \"expandable_segments:True\" is used.\n    device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, `xpu:N` (where N is a device number)\n    precision: Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.<br>Valid values: `auto`, `float16`, `bfloat16`, `float32`\n    rocm_aotriton_experimental: Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.<br>Valid values: `auto`, `on`, `off`\n    sequential_guidance: Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.\n    noise_dtype: The dtype seeded noise is drawn in for SD1.5/SDXL, SD3, FLUX.1, FLUX.2, CogView4 and the Z-Image seed variance enhancer. `float32` draws the same noise on every platform. `float16` is the half-precision draw of earlier versions: on macOS it keeps the images your seeds gave before this update; on Windows and Linux both values give (nearly) the same images, and images made before the update cannot be reproduced there.<br>Valid values: `float32`, `float16`\n    wan_memory_optimization: Enable experimental Wan memory optimizations at the cost of slower generation.\n    pid_memory_optimization: Enable experimental PiD decode memory optimizations. Roughly halves the peak activation memory of a PiD decode; in exchange the decoded image changes slightly, because neither the chunked pixel pathway nor the float32 sampler intermediates are bit-exact with the default path.\n    attention_type: Attention type.<br>Valid values: `auto`, `normal`, `xformers`, `sliced`, `torch-sdp`\n    attention_slice_size: Slice size, valid when attention_type==\"sliced\".<br>Valid values: `auto`, `balanced`, `max`, `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`\n    force_tiled_decode: Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty). A tiled decode is not pixel-identical to a single-pass one: a VAE decoder normalises and attends over the whole image, so the difference is spread across it rather than confined to the tile seams. Also tiles the encode. Read by the SD1.5/SDXL, FLUX.1, Z-Image and Qwen-Image VAE nodes, the Anima encode and the Krea-2 style reference; other model families ignore it.\n    auto_tiled_decode: Decode large images in tiles when an untiled decode's estimated working memory would take most of the GPU's memory (FLUX.1, Z-Image, Qwen-Image, Krea-2 and Wan decodes). Turn off to decode untiled unless tiling is requested; the FLUX.1 and Z-Image decodes then still retry tiled after running out of memory. Anima keeps tiling a decode too large for its GPU either way, because tiling is what makes that case fast there.\n    pil_compress_level: The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = no compression, 1 = fastest with slightly larger filesize, 9 = slowest with smallest filesize. 1 is typically the best setting.\n    max_queue_size: Maximum number of items in the session queue.\n    session_queue_mode: Session queue mode. Use 'FIFO' for traditional first-in-first-out, or 'round_robin' to serve each user's jobs in turn. In single-user mode, FIFO is always used regardless of this setting.<br>Valid values: `FIFO`, `round_robin`\n    clear_queue_on_startup: Empties session queue on startup. If true, disables `max_queue_history`.\n    max_queue_history: Keep the last N completed, failed, and canceled queue items. Older items are deleted on startup. Set to 0 to prune all terminal items. Ignored if `clear_queue_on_startup` is true.\n    allow_nodes: List of nodes to allow. Omit to allow all.\n    deny_nodes: List of nodes to deny. Omit to deny none.\n    node_cache_size: How many cached nodes to keep in memory.\n    hashing_algorithm: Model hashing algorthim for model installs. 'blake3_multi' is best for SSDs. 'blake3_single' is best for spinning disk HDDs. 'random' disables hashing, instead assigning a UUID to models. Useful when using a memory db to reduce model installation time, or if you don't care about storing stable hashes for models. Alternatively, any other hashlib algorithm is accepted, though these are not nearly as performant as blake3.<br>Valid values: `blake3_multi`, `blake3_single`, `random`, `md5`, `sha1`, `sha224`, `sha256`, `sha384`, `sha512`, `blake2b`, `blake2s`, `sha3_224`, `sha3_256`, `sha3_384`, `sha3_512`, `shake_128`, `shake_256`\n    remote_api_tokens: List of regular expression and token pairs used when downloading models from URLs. The download URL is tested against the regex, and if it matches, the token is provided in as a Bearer token.\n    scan_models_on_startup: Scan the models directory on startup, registering orphaned models. This is typically only used in conjunction with `use_memory_db` for testing purposes.\n    allow_private_download_urls: Allow the download queue to fetch from loopback, link-local and private-network addresses. Disabled by default so that a download URL cannot be used to reach services that are only reachable from the server. Enable this only if you install models from a mirror on your own network.\n    download_proxy: Optional HTTP proxy for model downloads. The proxy must enforce the public-address policy because proxy-side DNS cannot be checked by InvokeAI.\n    unsafe_disable_picklescan: UNSAFE. Disable the picklescan security check during model installation. Recommended only for development and testing purposes. This will allow arbitrary code execution during model installation, so should never be used in production.\n    allow_unknown_models: Allow installation of models that we are unable to identify. If enabled, models will be marked as `unknown` in the database, and will not have any metadata associated with them. If disabled, unknown models will be rejected during installation.\n    multiuser: Enable multiuser support. When disabled, the application runs in single-user mode using a default system account with administrator privileges. When enabled, requires user authentication and authorization.\n    strict_password_checking: Enforce strict password requirements. When True, passwords must contain uppercase, lowercase, and numbers. When False (default), any password is accepted but its strength (weak/moderate/strong) is reported to the user.\n    image_index_enabled: Maintain a semantic embedding index of gallery images and videos, used by the image map and semantic search features.\n    image_index_model: Name of the installed CLIP Vision or SigLIP model used to embed gallery images and video thumbnails. Changing the model discards embeddings computed by the previous model.\n    image_index_device: Set to `cpu` to compute image embeddings on the CPU with a service-local copy of the model - avoids VRAM use and lets indexing run during generations. Any other value is ignored: embeddings otherwise run on the model cache's device, pausing while generations are in progress.\n    image_index_batch_size: Number of gallery items embedded per batch by the image index worker.\n    external_alibabacloud_api_key: API key for Alibaba Cloud DashScope image generation.\n    external_alibabacloud_base_url: Base URL override for Alibaba Cloud DashScope image generation.\n    external_atlascloud_api_key: API key for Atlas Cloud image generation.\n    external_atlascloud_base_url: Base URL override for Atlas Cloud image generation.\n    external_gemini_api_key: API key for Gemini image generation.\n    external_openai_api_key: API key for OpenAI image generation.\n    external_gemini_base_url: Base URL override for Gemini image generation.\n    external_openai_base_url: Base URL override for OpenAI image generation.\n    external_seedream_api_key: API key for Seedream image generation.\n    external_seedream_base_url: Base URL override for Seedream image generation.\n    base_url: Public base path when running behind a reverse proxy under a sub-path, e.g. `/invoke`. Set only when the proxy PRESERVES the sub-path (the backend receives `/invoke/api/...`). Leave unset when the proxy strips the sub-path or when serving at the domain root.\n    forwarded_allow_ips: Comma-separated list of IPs (or `*`) allowed to set X-Forwarded-* headers. Set to the reverse proxy's IP. Only used when `base_url` is set.\n    http_compression_level: Compression level for gzipped HTTP API responses. 0 disables response compression entirely, 1 is fastest, 9 (the default) is smallest. Compression runs on the event loop and blocks the whole server while it works, and level 9 costs about 5.5x the time of level 1 for 0.4 percentage points of extra compression, so lowering this makes the app noticeably more responsive on large libraries. Set to 0 when a reverse proxy already compresses responses."
       },
       "InvokeAIAppConfigWithSetFields": {
         "properties": {
diff --git a/invokeai/frontend/api/schema.ts b/invokeai/frontend/api/schema.ts
index 5b5567b6dfa..a3f48859dd2 100644
--- a/invokeai/frontend/api/schema.ts
+++ b/invokeai/frontend/api/schema.ts
@@ -22599,6 +22599,7 @@ export type components = {
          *         pytorch_cuda_alloc_conf: Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to "backend:cudaMallocAsync" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally. Unset on a ROCm build of PyTorch on Windows, "expandable_segments:True" is used.
          *         device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, `xpu:N` (where N is a device number)
          *         precision: Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.<br>Valid values: `auto`, `float16`, `bfloat16`, `float32`
+         *         rocm_aotriton_experimental: Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.<br>Valid values: `auto`, `on`, `off`
          *         sequential_guidance: Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.
          *         noise_dtype: The dtype seeded noise is drawn in for SD1.5/SDXL, SD3, FLUX.1, FLUX.2, CogView4 and the Z-Image seed variance enhancer. `float32` draws the same noise on every platform. `float16` is the half-precision draw of earlier versions: on macOS it keeps the images your seeds gave before this update; on Windows and Linux both values give (nearly) the same images, and images made before the update cannot be reproduced there.<br>Valid values: `float32`, `float16`
          *         wan_memory_optimization: Enable experimental Wan memory optimizations at the cost of slower generation.
@@ -23011,7 +23012,7 @@ export type components = {
             device?: string;
             /**
              * Generation Devices
-             * @description Devices to use for parallel generation. `auto` (the default) uses every available GPU, running one generation session per GPU concurrently and distributing jobs fairly across users — unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)
+             * @description Devices to use for parallel generation. `auto` (the default) uses every available GPU, except an integrated GPU next to a discrete one, running one generation session per GPU concurrently and distributing jobs fairly across users — unless the legacy `device` setting is pinned to a specific device, in which case `auto` uses only that device (preserving configs that pinned `device` before multi-GPU support existed). Provide an explicit list (e.g. `[cuda:0, cuda:1]`) to use specific devices regardless of `device`, or a single-device list (e.g. `[cuda:0]`) to run serially. On systems without a GPU, `auto` resolves to the single `cpu`/`mps` device.<br>Valid values: `auto`, or a list whose entries are each `cpu`, `cuda`, `mps`, `xpu`, `cuda:N`, or `xpu:N` (where N is a device number)
              * @default auto
              */
             generation_devices?: "auto" | string[];
@@ -23028,6 +23029,13 @@ export type components = {
              * @enum {string}
              */
             precision?: "auto" | "float16" | "bfloat16" | "float32";
+            /**
+             * Rocm Aotriton Experimental
+             * @description Use AOTriton's fused (flash and memory-efficient) attention kernels on AMD GPUs that PyTorch marks experimental for them, such as the RX 7600/7700/7800 series, Ryzen AI 300/Max and the RX 9060 series, by setting TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL. Without them, attention on those GPUs runs on the slower math kernel, which also needs far more memory. `auto` turns them on only with a ROCm 10 build of PyTorch, and only when every GPU used for generation is one they were measured correct on (so far gfx1200, the RX 9060 series); `on` and `off` decide for any build and GPU. A TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL value already set in the environment takes precedence. Has no effect on other GPUs.
+             * @default auto
+             * @enum {string}
+             */
+            rocm_aotriton_experimental?: "auto" | "on" | "off";
             /**
              * Sequential Guidance
              * @description Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.
diff --git a/pins.json b/pins.json
index 254c7da6d6c..caf99700924 100644
--- a/pins.json
+++ b/pins.json
@@ -8,7 +8,7 @@
     },
     "linux": {
       "cpu": "https://download.pytorch.org/whl/cpu",
-      "rocm": "https://download.pytorch.org/whl/rocm7.2",
+      "rocm": "https://stable.repo.amd.com/rocm/whl-next/",
       "cuda": "https://download.pytorch.org/whl/cu130",
       "xpu": "https://download.pytorch.org/whl/xpu"
     },
diff --git a/pyproject.toml b/pyproject.toml
index 1731b68f978..c2617206361 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -60,8 +60,7 @@ dependencies = [
   # `--torch-backend=<x>` with no extra (see docs/start-here/manual), so a blanket cap would also
   # reject torch>=2.12 on Windows/Linux CUDA, CPU and ARM64, where 2.12 has no known problem.
   # The ROCm path is constrained where it can actually be targeted: the `rocm` extra below pins an
-  # exact version — 2.13.0+rocm7.2, validated end-to-end on gfx1100 (W7900), where its bundled
-  # AOTriton 0.12b also triples flash-attention throughput vs the 2.10.0+rocm7.1 pin.
+  # exact version, AMD's 2.13.0+rocm10.0.0.
   "torch>=2.7.0,<3.0; sys_platform != 'darwin'",
   "torch>=2.7.0,<2.8.0; sys_platform == 'darwin'",
   "torchsde",                             # diffusers needs this for SDE solvers, but it is not an explicit dep of diffusers
@@ -131,9 +130,9 @@ dependencies = [
   # torch 2.4+cu carries its own triton dependency
 ]
 
-# The +cpu/+cu130/+rocm7.2 pins live on PyTorch's WHL indexes and are gated to the
-# platforms the project resolves and tests them on: Windows and Linux x86_64 (rocm: Linux
-# only). macOS is capped below torch 2.8 (see the base requirement), and linux_aarch64 stays
+# The +cpu/+cu130/+xpu pins live on PyTorch's WHL indexes, the +rocm10.0.0 pins on AMD's, and
+# all are gated to the platforms the project resolves and tests them on: Windows and Linux
+# x86_64. macOS is capped below torch 2.8 (see the base requirement), and linux_aarch64 stays
 # on the CPU-only PyPI 2.7.1 it was set up with (an aarch64 install requesting `cuda` gets
 # CPU torch), so both fall back to the base `torch` / `torchvision` from PyPI. The index has
 # carried aarch64 torchvision since 0.28, so moving aarch64 onto the pinned pairs -- and real
@@ -159,17 +158,108 @@ dependencies = [
   "torch==2.7.1; sys_platform == 'darwin' or (sys_platform == 'linux' and platform_machine == 'aarch64')",
   "torchvision==0.22.1; sys_platform == 'darwin' or (sys_platform == 'linux' and platform_machine == 'aarch64')",
 ]
+# ROCm 10 for Linux x86_64 and Windows, from AMD's index (PyTorch publishes no ROCm wheels for Windows, and none
+# built against ROCm 10). AMD splits the build: torch/torchvision and the ROCm runtime (`rocm-sdk-core`,
+# `rocm-sdk-libraries`) are shared, the GPU kernels come in one package per target and library. uv applies an
+# index source to direct requirements only, so every package that exists only on AMD's index is listed here.
+# The extra installs the kernels of every target AMD builds; the launcher leaves out the targets the machine
+# does not have (`uv sync --no-install-package`). ROCm 10 dropped gfx900/gfx906 (Vega 10/20, MI25/MI50), which
+# the previous 2.13.0+rocm7.2 pin from PyTorch's index still covered.
 "rocm" = [
-  # ROCm wheels are x86_64-linux-only; gate by platform so macOS/win/linux-aarch64 resolution is unaffected.
-  # 2.13.0+rocm7.2 bundles AOTriton 0.12b, whose regenerated gfx1100 tuning database triples
-  # flash-attention throughput on RDNA3 vs the previous 2.10.0+rocm7.1 pin (measured 17.9 ->
-  # 57.3 TFLOPS effective at the MiniMax H3 attention shape on a W7900).
-  "torch==2.13.0+rocm7.2; sys_platform == 'linux' and platform_machine != 'aarch64'",
-  "torchvision==0.28.0+rocm7.2; sys_platform == 'linux' and platform_machine != 'aarch64'",
-  "triton-rocm==3.7.1; sys_platform == 'linux' and platform_machine != 'aarch64'",
-  # linux_aarch64 fallback, see note under "cpu"
-  "torch==2.7.1; sys_platform == 'linux' and platform_machine == 'aarch64'",
-  "torchvision==0.22.1; sys_platform == 'linux' and platform_machine == 'aarch64'",
+  "torch==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "torchvision==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  # The Linux torch wheel requires AMD's triton build; the Windows wheel requires none.
+  "triton==3.8.0+git4cff872c.rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "rocm==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-core==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-libraries==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  # 0.50.2 is the first release with a Windows ROCm binary, and the first that finds its Linux one for these wheels:
+  # they report HIP 7.15, which 0.49 turns into `libbitsandbytes_rocm85.so` (7 * 10 + 15) where 0.50 ships `rocm715`.
+  "bitsandbytes>=0.50.2; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  # GPU kernels: per target, torch's, torchvision's and the ROCm runtime's; gfx110x, gfx115x and gfx12-0
+  # are torch's kernels shared by a whole family.
+  "amd-torch-device-gfx1010==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1010==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1010==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1011==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1011==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1011==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1012==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1012==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1012==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1030==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1030==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1030==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1031==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1031==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1031==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1032==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1032==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1032==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1033==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1033==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1033==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1034==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1034==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1034==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1035==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1035==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1035==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1036==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1036==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1036==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx110x==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1100==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1100==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1100==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1101==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1101==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1101==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1102==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1102==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1102==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1103==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1103==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1103==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx115x==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1150==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1150==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1150==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1151==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1151==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1151==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1152==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1152==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1152==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1153==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1153==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1153==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx12-0==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1200==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1200==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1200==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx1201==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx1201==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx1201==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx908==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx908==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx908==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torch-device-gfx90a==2.13.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "amd-torchvision-device-gfx90a==0.28.0+rocm10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  "rocm-sdk-device-gfx90a==10.0.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
+  # Targets AMD builds for Linux only.
+  "amd-torch-device-gfx1250==2.13.0+rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "amd-torchvision-device-gfx1250==0.28.0+rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "rocm-sdk-device-gfx1250==10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "amd-torch-device-gfx942==2.13.0+rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "amd-torchvision-device-gfx942==0.28.0+rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "rocm-sdk-device-gfx942==10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "amd-torch-device-gfx950==2.13.0+rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "amd-torchvision-device-gfx950==0.28.0+rocm10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  "rocm-sdk-device-gfx950==10.0.0; sys_platform == 'linux' and platform_machine == 'x86_64'",
+  # macOS / linux_aarch64 fallback, see note under "cpu"
+  "torch==2.7.1; sys_platform == 'darwin' or (sys_platform == 'linux' and platform_machine == 'aarch64')",
+  "torchvision==0.22.1; sys_platform == 'darwin' or (sys_platform == 'linux' and platform_machine == 'aarch64')",
 ]
 # Intel XPU (Arc / Battlemage) wheels are published only for linux-x86_64 and
 # windows-amd64 on PyTorch's WHL index. Gate the +xpu pins to those platforms; the
@@ -228,7 +318,7 @@ environments = ["sys_platform == 'win32' or sys_platform == 'darwin' or (sys_pla
 # there, or move it to the newest PyPI release, independently of the extras. `tool.uv` never reaches the
 # published metadata, so installing the released package with `--torch-backend` keeps the open range of the base
 # requirement; only `uv pip install` inside a checkout is held to it.
-# `==2.13.0` also matches the local builds (+cpu, +cu130, +rocm7.2, +xpu).
+# `==2.13.0` also matches the local builds (+cpu, +cu130, +rocm10.0.0, +xpu).
 constraint-dependencies = [
   "torch==2.13.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
   "torchvision==0.28.0; sys_platform == 'win32' or (sys_platform == 'linux' and platform_machine == 'x86_64')",
@@ -246,26 +336,139 @@ constraint-dependencies = [
 # lockfile regenerated by a uv too old to honor this.
 exclude-dependencies = ["notebook"]
 
+# The Linux and Windows wheels of this build share a version but not their requirements: only the Linux wheel
+# requires (AMD's) triton, without a marker. uv reads one wheel's metadata for both, so restate the union here.
+[[tool.uv.dependency-metadata]]
+name = "torch"
+version = "2.13.0+rocm10.0.0"
+requires-dist = [
+  "filelock",
+  "typing-extensions>=4.10.0",
+  "setuptools>=77.0.3",
+  "sympy>=1.13.3",
+  "networkx>=2.5.1",
+  "jinja2",
+  "fsspec>=0.8.5",
+  "rocm[libraries]==10.0.0",
+  "rocm-bootstrap",
+  "triton==3.8.0+git4cff872c.rocm10.0.0; sys_platform == 'linux'",
+]
+
+# `rocm` is published only as an sdist whose build asks the machine's GPU which kernel package to require, so the
+# lock would depend on the machine that wrote it. Its target-independent requirements, from rocm_sdk._dist_info;
+# the kernel packages are listed in the rocm extra instead.
+[[tool.uv.dependency-metadata]]
+name = "rocm"
+version = "10.0.0"
+requires-dist = [
+  "rocm-sdk-core==10.0.0",
+  "rocm-sdk-libraries==10.0.0; extra == 'libraries'",
+]
+provides-extras = ["libraries"]
+
 [tool.uv.sources]
-# Keep linux_aarch64 (and, for cpu/cuda, macOS) off the PyTorch WHL indexes so that uv
-# resolves their 2.7.1 fallback pins from PyPI; see the note above the extras.
+# Keep linux_aarch64 and macOS off the PyTorch and AMD indexes so that uv resolves their
+# 2.7.1 fallback pins from PyPI; see the note above the extras.
 torch = [
   { index = "torch-cpu", extra = "cpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
   { index = "torch-cuda", extra = "cuda", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
-  { index = "torch-rocm", extra = "rocm", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" },
+  { index = "torch-rocm", extra = "rocm", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
   { index = "torch-xpu", extra = "xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
   { index = "pypi", marker = "sys_platform == 'linux' and platform_machine == 'aarch64'" },
 ]
 torchvision = [
   { index = "torch-cpu", extra = "cpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
   { index = "torch-cuda", extra = "cuda", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
-  { index = "torch-rocm", extra = "rocm", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" },
+  { index = "torch-rocm", extra = "rocm", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
   { index = "torch-xpu", extra = "xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" },
   { index = "pypi", marker = "sys_platform == 'linux' and platform_machine == 'aarch64'" },
 ]
-triton-rocm = [
-  { index = "torch-rocm", marker = "sys_platform == 'linux' and platform_machine != 'aarch64'" },
+# Only the rocm extra takes AMD's triton; cuda and the no-extra resolution keep PyPI's.
+triton = [
+  { index = "torch-rocm", extra = "rocm", marker = "sys_platform == 'linux' and platform_machine == 'x86_64'" },
 ]
+# Packages that exist only on AMD's index.
+rocm                           = { index = "torch-rocm" }
+rocm-sdk-core                  = { index = "torch-rocm" }
+rocm-sdk-libraries             = { index = "torch-rocm" }
+amd-torch-device-gfx1010       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1010 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1010        = { index = "torch-rocm" }
+amd-torch-device-gfx1011       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1011 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1011        = { index = "torch-rocm" }
+amd-torch-device-gfx1012       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1012 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1012        = { index = "torch-rocm" }
+amd-torch-device-gfx1030       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1030 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1030        = { index = "torch-rocm" }
+amd-torch-device-gfx1031       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1031 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1031        = { index = "torch-rocm" }
+amd-torch-device-gfx1032       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1032 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1032        = { index = "torch-rocm" }
+amd-torch-device-gfx1033       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1033 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1033        = { index = "torch-rocm" }
+amd-torch-device-gfx1034       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1034 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1034        = { index = "torch-rocm" }
+amd-torch-device-gfx1035       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1035 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1035        = { index = "torch-rocm" }
+amd-torch-device-gfx1036       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1036 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1036        = { index = "torch-rocm" }
+amd-torch-device-gfx110x       = { index = "torch-rocm" }
+amd-torch-device-gfx1100       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1100 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1100        = { index = "torch-rocm" }
+amd-torch-device-gfx1101       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1101 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1101        = { index = "torch-rocm" }
+amd-torch-device-gfx1102       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1102 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1102        = { index = "torch-rocm" }
+amd-torch-device-gfx1103       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1103 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1103        = { index = "torch-rocm" }
+amd-torch-device-gfx115x       = { index = "torch-rocm" }
+amd-torch-device-gfx1150       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1150 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1150        = { index = "torch-rocm" }
+amd-torch-device-gfx1151       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1151 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1151        = { index = "torch-rocm" }
+amd-torch-device-gfx1152       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1152 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1152        = { index = "torch-rocm" }
+amd-torch-device-gfx1153       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1153 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1153        = { index = "torch-rocm" }
+amd-torch-device-gfx12-0       = { index = "torch-rocm" }
+amd-torch-device-gfx1200       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1200 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1200        = { index = "torch-rocm" }
+amd-torch-device-gfx1201       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1201 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1201        = { index = "torch-rocm" }
+amd-torch-device-gfx908        = { index = "torch-rocm" }
+amd-torchvision-device-gfx908  = { index = "torch-rocm" }
+rocm-sdk-device-gfx908         = { index = "torch-rocm" }
+amd-torch-device-gfx90a        = { index = "torch-rocm" }
+amd-torchvision-device-gfx90a  = { index = "torch-rocm" }
+rocm-sdk-device-gfx90a         = { index = "torch-rocm" }
+amd-torch-device-gfx1250       = { index = "torch-rocm" }
+amd-torchvision-device-gfx1250 = { index = "torch-rocm" }
+rocm-sdk-device-gfx1250        = { index = "torch-rocm" }
+amd-torch-device-gfx942        = { index = "torch-rocm" }
+amd-torchvision-device-gfx942  = { index = "torch-rocm" }
+rocm-sdk-device-gfx942         = { index = "torch-rocm" }
+amd-torch-device-gfx950        = { index = "torch-rocm" }
+amd-torchvision-device-gfx950  = { index = "torch-rocm" }
+rocm-sdk-device-gfx950         = { index = "torch-rocm" }
 # PyPI's xformers wheels are built against CUDA 12.8 and cannot load their extension next to a CUDA 13 torch (every
 # memory-efficient attention call then fails); PyTorch's cu130 index carries the CUDA 13 build of the same release.
 # Not scoped to the `cuda` extra: uv only allows that for packages the extra itself lists, and the CUDA 13 torch that
@@ -291,9 +494,10 @@ name = "torch-cuda"
 url = "https://download.pytorch.org/whl/cu130"
 explicit = true
 
+# AMD's index also mirrors PyPI packages (numpy, pillow, sympy, ...) without hashes, so it must stay explicit.
 [[tool.uv.index]]
 name = "torch-rocm"
-url = "https://download.pytorch.org/whl/rocm7.2"
+url = "https://stable.repo.amd.com/rocm/whl-next/"
 explicit = true
 
 [[tool.uv.index]]
diff --git a/scripts/check_pins.py b/scripts/check_pins.py
index a9b2198086c..3be1f5a5e0f 100644
--- a/scripts/check_pins.py
+++ b/scripts/check_pins.py
@@ -59,8 +59,9 @@
 #
 # - darwin is deliberately empty: macOS uses MPS, for which PyTorch publishes no
 #   separate index, so the launcher installs the default PyPI wheels.
-# - win32 has no rocm entry: PyTorch publishes no ROCm wheels for Windows, and
-#   the `rocm` extra in pyproject.toml is marked `sys_platform == 'linux'`.
+# - win32 has no rocm entry: legacy (pre-6.14.0) installs do not support ROCm on
+#   Windows. Current releases install the `rocm` extra from the lockfile, which
+#   covers Windows through AMD's index.
 # - xpu is on both win32 and linux: PyTorch's XPU index publishes win_amd64 and
 #   linux-x86_64 wheels, which is exactly what the `xpu` extra's markers allow.
 REQUIRED_BACKENDS: dict[str, set[str]] = {
diff --git a/tests/app/util/test_rocm_aotriton.py b/tests/app/util/test_rocm_aotriton.py
new file mode 100644
index 00000000000..6fbf8fe8210
--- /dev/null
+++ b/tests/app/util/test_rocm_aotriton.py
@@ -0,0 +1,170 @@
+"""The `rocm_aotriton_experimental` setting: which builds and GPUs get AOTriton's experimental attention kernels."""
+
+import logging
+import os
+from types import SimpleNamespace
+from unittest.mock import MagicMock, patch
+
+import pytest
+import torch
+
+from invokeai.app.util import rocm_aotriton
+from invokeai.app.util.rocm_aotriton import (
+    AOTRITON_EXPERIMENTAL_ENV,
+    apply_rocm_aotriton_setting,
+    resolve_aotriton_experimental,
+    rocm_major_version,
+)
+
+
+@pytest.mark.parametrize(
+    ("rocm", "version", "expected"),
+    [
+        # AMD's wheels: both agree.
+        ("10.0.0", "2.13.0+rocm10.0.0", 10),
+        # A build that leaves torch.version.rocm unset: the label tells.
+        (None, "2.13.0+rocm7.2", 7),
+        (None, "2.10.0+rocm7.1", 7),
+        # A locally built ROCm torch has no label; torch.version.rocm still names the ROCm.
+        ("10.0.0", "2.8.0a0+gitfc14c65", 10),
+        (None, "2.8.0a0+gitfc14c65", None),
+        (None, "2.13.0+cu130", None),
+        (None, "2.13.0", None),
+    ],
+)
+def test_rocm_major_version_prefers_torch_version_rocm(rocm: str | None, version: str, expected: int | None):
+    assert rocm_major_version(rocm, version) == expected
+
+
+def test_auto_turns_the_kernels_on_for_rocm_10_on_gfx1200():
+    """The measured case: RX 9060 XT, torch 2.13.0+rocm10.0.0."""
+    value, reason = resolve_aotriton_experimental("auto", None, 10, {"gfx1200"})
+    assert value == "1"
+    assert "gfx1200" in reason
+
+
+def test_auto_leaves_rocm_7_alone_where_the_switch_broke_every_fused_call():
+    """torch 2.12+rocm7.14.1 on the same gfx1200: every flash/mem-efficient call failed with the switch on."""
+    assert resolve_aotriton_experimental("auto", None, 7, {"gfx1200"})[0] is None
+
+
+def test_auto_leaves_an_unlabelled_build_alone():
+    assert resolve_aotriton_experimental("auto", None, None, {"gfx1200"})[0] is None
+
+
+def test_auto_needs_every_generation_gpu_to_be_measured():
+    """The switch is process-wide, so one unmeasured GPU keeps it off for all."""
+    value, reason = resolve_aotriton_experimental("auto", None, 10, {"gfx1200", "gfx1101"})
+    assert value is None
+    assert "gfx1101" in reason
+
+
+def test_auto_without_a_rocm_gpu_does_nothing():
+    assert resolve_aotriton_experimental("auto", None, 10, set())[0] is None
+
+
+@pytest.mark.parametrize(("setting", "expected"), [("on", "1"), ("off", "0")])
+@pytest.mark.parametrize("rocm_major", [None, 7, 10])
+def test_on_and_off_decide_for_any_build_and_gpu(setting, expected, rocm_major):
+    assert resolve_aotriton_experimental(setting, None, rocm_major, {"gfx1101"})[0] == expected
+
+
+@pytest.mark.parametrize("setting", ["auto", "on", "off"])
+def test_a_value_in_the_environment_always_wins(setting):
+    assert resolve_aotriton_experimental(setting, "0", 10, {"gfx1200"})[0] is None
+    assert resolve_aotriton_experimental(setting, "1", 7, {"gfx1101"})[0] is None
+
+
+# ===== applying it at startup ===============================================
+
+
+@pytest.fixture
+def no_exported_switch(monkeypatch: pytest.MonkeyPatch):
+    monkeypatch.delenv(AOTRITON_EXPERIMENTAL_ENV, raising=False)
+    yield
+    # apply_rocm_aotriton_setting writes os.environ directly; monkeypatch restores it on teardown.
+    monkeypatch.delenv(AOTRITON_EXPERIMENTAL_ENV, raising=False)
+
+
+def _rocm_build(version: str = "2.13.0+rocm10.0.0", arch: str = "gfx1200", rocm: str | None = "10.0.0"):
+    """Patches standing in for a ROCm torch with one GPU of `arch` to generate on.
+
+    Both version sources are patched, so the host's own torch (CUDA, CPU or another ROCm) cannot decide the outcome.
+    """
+    return (
+        patch("torch.version.hip", "7.15.26333"),
+        patch.object(torch, "__version__", version),
+        patch("torch.version.rocm", rocm, create=True),
+        patch(
+            "invokeai.backend.util.devices.TorchDevice.get_generation_devices",
+            return_value=[torch.device("cuda", 0)],
+        ),
+        patch("torch.cuda.get_device_properties", return_value=SimpleNamespace(gcnArchName=f"{arch}:xnack-")),
+    )
+
+
+def _apply(setting, patches, logger=None):
+    logger = logger or MagicMock(spec=logging.Logger)
+    with patches[0], patches[1], patches[2], patches[3], patches[4]:
+        apply_rocm_aotriton_setting(setting, "auto", logger)
+    return logger
+
+
+def test_apply_exports_the_switch_for_the_measured_case(no_exported_switch):
+    logger = _apply("auto", _rocm_build())
+    assert os.environ[AOTRITON_EXPERIMENTAL_ENV] == "1"
+    assert "are on" in logger.info.call_args.args[0]
+
+
+def test_apply_strips_the_feature_suffix_from_the_arch_name(no_exported_switch):
+    """`gcnArchName` carries target features (`gfx1200:xnack-`); the measured list holds bare names."""
+    _apply("auto", _rocm_build(arch="gfx1200"))
+    assert os.environ.get(AOTRITON_EXPERIMENTAL_ENV) == "1"
+
+
+@pytest.mark.parametrize(
+    ("version", "rocm", "exported"),
+    [
+        # A local ROCm 10 build: no label, but torch.version.rocm names it.
+        ("2.8.0a0+gitfc14c65", "10.0.0", "1"),
+        # torch.version.rocm wins over the label.
+        ("2.13.0+rocm10.0.0", "7.2.0", None),
+        # Without torch.version.rocm the label decides.
+        ("2.13.0+rocm10.0.0", None, "1"),
+    ],
+    ids=["local-build", "attribute-wins", "label-fallback"],
+)
+def test_apply_reads_the_rocm_version_from_torch(no_exported_switch, version, rocm, exported):
+    _apply("auto", _rocm_build(version=version, rocm=rocm))
+    assert os.environ.get(AOTRITON_EXPERIMENTAL_ENV) == exported
+
+
+def test_apply_leaves_an_unmeasured_gpu_unset_and_says_how_to_opt_in(no_exported_switch):
+    logger = _apply("auto", _rocm_build(arch="gfx1151"))
+    assert AOTRITON_EXPERIMENTAL_ENV not in os.environ
+    message = logger.info.call_args.args[0]
+    assert "are off" in message and "rocm_aotriton_experimental: on" in message
+
+
+def test_apply_keeps_an_exported_value_and_warns_when_the_setting_disagrees(monkeypatch):
+    monkeypatch.setenv(AOTRITON_EXPERIMENTAL_ENV, "0")
+    logger = _apply("on", _rocm_build())
+    assert os.environ[AOTRITON_EXPERIMENTAL_ENV] == "0"
+    assert AOTRITON_EXPERIMENTAL_ENV in logger.warning.call_args.args[0]
+
+
+def test_apply_does_nothing_on_a_non_rocm_build(no_exported_switch):
+    logger = MagicMock(spec=logging.Logger)
+    with patch("torch.version.hip", None):
+        apply_rocm_aotriton_setting("auto", "auto", logger)
+        apply_rocm_aotriton_setting("on", "auto", logger)
+    assert AOTRITON_EXPERIMENTAL_ENV not in os.environ
+    logger.info.assert_not_called()
+    # Only the explicit 'on' is worth a word.
+    assert logger.warning.call_count == 1
+
+
+def test_the_measured_list_only_holds_measured_architectures():
+    """Widening `auto` needs a measurement on that GPU; this pins the list so a change is a deliberate edit."""
+    assert rocm_aotriton.AUTO_MEASURED_ARCHS == frozenset({"gfx1200"})
+    assert rocm_aotriton.MIN_AUTO_ROCM_MAJOR == 10
diff --git a/tests/app/util/test_rocm_integrated_gpu.py b/tests/app/util/test_rocm_integrated_gpu.py
new file mode 100644
index 00000000000..7a28e47aa3a
--- /dev/null
+++ b/tests/app/util/test_rocm_integrated_gpu.py
@@ -0,0 +1,153 @@
+"""Hiding integrated GPUs from HIP on Windows ROCm before torch initializes it."""
+
+import logging
+import os
+import time
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from invokeai.app.util import rocm_integrated_gpu
+from invokeai.app.util.rocm_integrated_gpu import (
+    VISIBILITY_ENV_VARS,
+    ProbeFailed,
+    discrete_device_visibility,
+    hide_integrated_gpus_on_rocm_windows,
+    probe_integrated_flags,
+)
+
+MODULE = "invokeai.app.util.rocm_integrated_gpu"
+
+
+@pytest.mark.parametrize(
+    ("flags", "expected"),
+    [
+        ([False, True], "0"),
+        ([True, False], "1"),
+        ([False, True, False], "0,2"),
+        ([False, False], None),
+        # An APU on its own is what the machine generates on.
+        ([True], None),
+        ([], None),
+    ],
+)
+def test_discrete_device_visibility(flags, expected):
+    assert discrete_device_visibility(flags) == expected
+
+
+def _child_runs(monkeypatch: pytest.MonkeyPatch, code: str, timeout: float = 60) -> None:
+    """Make the probe start a real child running `code` instead of asking torch."""
+    monkeypatch.setattr(rocm_integrated_gpu, "_PROBE", code)
+    monkeypatch.setattr(rocm_integrated_gpu, "_PROBE_TIMEOUT_SECONDS", timeout)
+
+
+def test_probe_skips_what_the_child_prints_before_its_answer(monkeypatch: pytest.MonkeyPatch):
+    _child_runs(monkeypatch, "print('W1002 flop_counter.py:29] triton not found'); print('1'); print('[false, true]')")
+    assert probe_integrated_flags() == [False, True]
+
+
+def test_an_answer_followed_by_a_hang_on_exit_returns_at_once(monkeypatch: pytest.MonkeyPatch):
+    """HIP's teardown can hang after the answer (seen on Windows); startup must not wait out the timeout for it."""
+    _child_runs(monkeypatch, "import sys, time; print('[false, true]'); sys.stdout.flush(); time.sleep(600)")
+    started = time.monotonic()
+    assert probe_integrated_flags() == [False, True]
+    assert time.monotonic() - started < 30
+
+
+@pytest.mark.parametrize(
+    ("code", "timeout", "reason"),
+    [
+        ("import sys; sys.exit(3)", 60, "exited with code 3"),
+        ("print('not json')", 60, "gave no answer"),
+        ("print('{\"devices\": 2}')", 60, "gave no answer"),
+        ("import time; time.sleep(600)", 1, "no answer within 1 s"),
+    ],
+    ids=["child-failed", "garbage", "not-a-list", "hangs-before-answering"],
+)
+def test_probe_says_why_the_child_could_not_answer(monkeypatch: pytest.MonkeyPatch, code, timeout, reason):
+    _child_runs(monkeypatch, code, timeout)
+    with pytest.raises(ProbeFailed, match=reason):
+        probe_integrated_flags()
+
+
+def test_probe_says_when_the_child_cannot_start(monkeypatch: pytest.MonkeyPatch):
+    monkeypatch.setattr(rocm_integrated_gpu.sys, "executable", "Z:/no/such/python.exe")
+    with pytest.raises(ProbeFailed, match="could not start it"):
+        probe_integrated_flags()
+
+
+def test_the_real_probe_answers_and_exits(monkeypatch: pytest.MonkeyPatch):
+    """The probe code itself, in a real child: it prints a JSON list and exits (without a ROCm GPU, maybe [])."""
+    # A cold torch import on a busy CI runner may take longer than startup should wait; this tests the code, not speed.
+    monkeypatch.setattr(rocm_integrated_gpu, "_PROBE_TIMEOUT_SECONDS", 300)
+    flags = probe_integrated_flags()
+    assert isinstance(flags, list)
+    assert all(isinstance(flag, bool) for flag in flags)
+
+
+@pytest.fixture
+def windows_rocm(monkeypatch: pytest.MonkeyPatch):
+    """Windows, a ROCm torch not yet imported, no visibility variable set."""
+    for var in VISIBILITY_ENV_VARS:
+        monkeypatch.delenv(var, raising=False)
+    monkeypatch.setattr(rocm_integrated_gpu.sys, "platform", "win32")
+    monkeypatch.setattr(rocm_integrated_gpu, "_installed_torch_is_rocm", lambda: True)
+    monkeypatch.setattr(rocm_integrated_gpu, "_torch_is_imported", lambda: False)
+    yield monkeypatch
+    # hide_integrated_gpus_on_rocm_windows writes os.environ directly.
+    monkeypatch.delenv("HIP_VISIBLE_DEVICES", raising=False)
+
+
+def _hide(flags):
+    """Run the startup step with the probe answering `flags`, or failing when `flags` is an exception."""
+    logger = MagicMock(spec=logging.Logger)
+    kwargs = {"side_effect": flags} if isinstance(flags, BaseException) else {"return_value": flags}
+    with patch(f"{MODULE}.probe_integrated_flags", **kwargs) as probe:
+        hide_integrated_gpus_on_rocm_windows(logger)
+    return logger, probe
+
+
+def test_the_ryzen_igpu_next_to_a_radeon_is_hidden(windows_rocm):
+    """The measured machine: RX 9060 XT at 0, Ryzen iGPU (gfx1036) at 1."""
+    logger, _ = _hide([False, True])
+    assert os.environ["HIP_VISIBLE_DEVICES"] == "0"
+    assert "HIP_VISIBLE_DEVICES=0" in logger.info.call_args.args[0]
+
+
+@pytest.mark.parametrize("flags", [[False], [False, False], [True]], ids=["one", "two-discrete", "apu"])
+def test_nothing_is_hidden_without_an_igpu_next_to_a_discrete_gpu(windows_rocm, flags):
+    _hide(flags)
+    assert "HIP_VISIBLE_DEVICES" not in os.environ
+
+
+def test_a_failed_probe_leaves_every_gpu_visible_and_says_so(windows_rocm):
+    logger, _ = _hide(ProbeFailed("no answer within 60 s"))
+    assert "HIP_VISIBLE_DEVICES" not in os.environ
+    logger.warning.assert_called_once()
+    assert "no answer within 60 s" in logger.warning.call_args.args[0]
+
+
+@pytest.mark.parametrize("var", VISIBILITY_ENV_VARS)
+def test_a_visibility_variable_already_set_wins(windows_rocm, var):
+    windows_rocm.setenv(var, "1")
+    _, probe = _hide([False, True])
+    probe.assert_not_called()
+    assert os.environ[var] == "1"
+
+
+def test_other_platforms_and_builds_are_left_alone(windows_rocm):
+    windows_rocm.setattr(rocm_integrated_gpu.sys, "platform", "linux")
+    _, probe = _hide([False, True])
+    probe.assert_not_called()
+
+    windows_rocm.setattr(rocm_integrated_gpu.sys, "platform", "win32")
+    windows_rocm.setattr(rocm_integrated_gpu, "_installed_torch_is_rocm", lambda: False)
+    _, probe = _hide([False, True])
+    probe.assert_not_called()
+
+
+def test_too_late_once_torch_is_imported(windows_rocm):
+    windows_rocm.setattr(rocm_integrated_gpu, "_torch_is_imported", lambda: True)
+    logger, probe = _hide([False, True])
+    probe.assert_not_called()
+    logger.warning.assert_called_once()
diff --git a/tests/backend/quantization/test_bnb_cast_notice.py b/tests/backend/quantization/test_bnb_cast_notice.py
new file mode 100644
index 00000000000..5e664692baa
--- /dev/null
+++ b/tests/backend/quantization/test_bnb_cast_notice.py
@@ -0,0 +1,28 @@
+"""`silence_int8_cast_notice`, which must work without bitsandbytes installed (macOS has none)."""
+
+import logging
+import warnings
+
+import torch
+
+from invokeai.backend.quantization.bnb_cast_notice import silence_int8_cast_notice
+
+_CAST_NOTICE = "MatMul8bitLt: inputs will be cast from torch.bfloat16 to float16 during quantization"
+
+
+def test_int8_cast_notice_is_silenced_as_a_warning_and_as_a_log_record(caplog):
+    """bitsandbytes up to 0.49 warns with `warnings`; from 0.50 it logs. Other notices from either path still show."""
+    bnb_logger = logging.getLogger("bitsandbytes.autograd._functions")
+    with warnings.catch_warnings(record=True) as caught, caplog.at_level(logging.WARNING, logger=bnb_logger.name):
+        warnings.simplefilter("always")
+        silence_int8_cast_notice()
+        silence_int8_cast_notice()  # idempotent: one log filter, not two
+
+        warnings.warn(_CAST_NOTICE, UserWarning, stacklevel=1)
+        warnings.warn("an unrelated bitsandbytes warning", UserWarning, stacklevel=1)
+        bnb_logger.warning("MatMul8bitLt: inputs will be cast from %s to float16 during quantization", torch.bfloat16)
+        bnb_logger.warning("an unrelated bitsandbytes log record")
+
+    assert [str(w.message) for w in caught] == ["an unrelated bitsandbytes warning"]
+    assert [r.getMessage() for r in caplog.records] == ["an unrelated bitsandbytes log record"]
+    assert sum(type(f).__name__ == "_DropInt8CastNotice" for f in bnb_logger.filters) == 1
diff --git a/tests/backend/quantization/test_bnb_llm_int8.py b/tests/backend/quantization/test_bnb_llm_int8.py
index 481b809d03c..a63db123ebc 100644
--- a/tests/backend/quantization/test_bnb_llm_int8.py
+++ b/tests/backend/quantization/test_bnb_llm_int8.py
@@ -1,6 +1,11 @@
+import logging
+import warnings
+
 import pytest
 import torch
 
+from invokeai.backend.quantization.bnb_cast_notice import silence_int8_cast_notice
+
 try:
     from invokeai.backend.quantization.bnb_llm_int8 import InvokeLinear8bitLt
 except ImportError:
@@ -83,3 +88,21 @@ def test_invoke_linear_8bit_lt_state_dict_roundtrip():
     # Assert that the inference results are the same.
     assert torch.allclose(y, y_quantized_1.to("cpu"), atol=0.05)
     assert torch.allclose(y_quantized_1, y_quantized_2, atol=1e-5)
+
+
+def test_a_bf16_int8_matmul_reports_no_cast_notice(caplog):
+    """The installed bitsandbytes, not a stand-in: a renamed logger or message would show up here."""
+    if not torch.cuda.is_available():
+        pytest.skip("CUDA is not available")
+    layer = InvokeLinear8bitLt(input_features=32, output_features=64, has_fp16_weights=False)
+    layer.load_state_dict(torch.nn.Linear(32, 64).state_dict())
+    layer.to("cuda")
+
+    with warnings.catch_warnings(record=True) as caught, caplog.at_level(logging.WARNING):
+        warnings.simplefilter("always")
+        silence_int8_cast_notice()
+        layer(torch.randn(4, 32, dtype=torch.bfloat16, device="cuda"))
+        layer(torch.randn(4, 32, dtype=torch.bfloat16, device="cuda"))
+
+    assert not [w for w in caught if "MatMul8bitLt" in str(w.message)]
+    assert not [r for r in caplog.records if "MatMul8bitLt" in r.getMessage()]
diff --git a/tests/backend/util/test_devices.py b/tests/backend/util/test_devices.py
index a1ca9b078aa..d40a57bb2f9 100644
--- a/tests/backend/util/test_devices.py
+++ b/tests/backend/util/test_devices.py
@@ -11,7 +11,13 @@
 import torch
 
 from invokeai.app.services.config import get_config
-from invokeai.backend.util.devices import TorchDevice, choose_precision, choose_torch_device, torch_dtype
+from invokeai.backend.util.devices import (
+    TorchDevice,
+    choose_precision,
+    choose_torch_device,
+    device_is_integrated,
+    torch_dtype,
+)
 
 devices = ["cpu", "cuda:0", "cuda:1", "cuda:2", "mps"]
 device_types_cpu = [("cpu", torch.float32), ("cuda:0", torch.float32), ("mps", torch.float32)]
@@ -81,6 +87,11 @@ def test_get_generation_devices_auto_expands_to_all_cuda():
     with (
         patch("invokeai.backend.util.devices.torch.cuda.is_available", return_value=True),
         patch("invokeai.backend.util.devices.torch.cuda.device_count", return_value=3),
+        # Discrete GPUs, whatever the machine running the test has (its iGPU would be left out).
+        patch(
+            "invokeai.backend.util.devices.torch.cuda.get_device_properties",
+            _cuda_properties({0: False, 1: False, 2: False}),
+        ),
     ):
         assert TorchDevice.get_generation_devices("auto") == [
             torch.device("cuda:0"),
@@ -914,6 +925,72 @@ def test_disable_conv_benchmark_empty_cache_flips_torch_flag():
         setter(original)
 
 
+# ===== integrated GPUs on CUDA/ROCm =========================================
+
+
+def _cuda_properties(integrated_map: dict[int, bool | None]):
+    """A `torch.cuda.get_device_properties` stand-in; None leaves `is_integrated` off the properties."""
+
+    def get_device_properties(index):
+        index = index.index if isinstance(index, torch.device) else index
+        flag = integrated_map[index]
+        return SimpleNamespace() if flag is None else SimpleNamespace(is_integrated=int(flag))
+
+    return get_device_properties
+
+
+def _auto_cuda_devices(integrated_map: dict[int, bool | None]):
+    config = get_config()
+    config.device = "auto"
+    with (
+        patch("invokeai.backend.util.devices.torch.cuda.is_available", return_value=True),
+        patch("invokeai.backend.util.devices.torch.cuda.device_count", return_value=len(integrated_map)),
+        patch("invokeai.backend.util.devices.torch.cuda.get_device_properties", _cuda_properties(integrated_map)),
+    ):
+        return TorchDevice.get_generation_devices("auto")
+
+
+def test_auto_excludes_the_ryzen_igpu_that_rocm_enumerates_next_to_a_radeon():
+    """Measured on Windows ROCm: an RX 9060 XT at index 0 and the Ryzen iGPU (gfx1036, `is_integrated=1`) at index 1.
+    `auto` must not give the iGPU half of the queue."""
+    assert _auto_cuda_devices({0: False, 1: True}) == [torch.device("cuda:0")]
+
+
+def test_auto_keeps_a_cuda_igpu_that_is_the_only_gpu():
+    assert _auto_cuda_devices({0: True}) == [torch.device("cuda:0")]
+
+
+def test_auto_keeps_cuda_devices_whose_properties_do_not_say():
+    assert _auto_cuda_devices({0: None, 1: None}) == [torch.device("cuda:0"), torch.device("cuda:1")]
+
+
+def test_device_is_integrated_is_unknown_when_the_properties_cannot_be_read():
+    with patch("invokeai.backend.util.devices.torch.cuda.get_device_properties", side_effect=RuntimeError("no GPU")):
+        assert device_is_integrated(torch.device("cuda", 0)) is None
+
+
+@pytest.mark.parametrize(
+    ("integrated_map", "current", "expected"),
+    [
+        ({0: True, 1: False}, 0, torch.device("cuda", 1)),
+        ({0: False, 1: True}, 0, torch.device("cuda", 0)),
+        ({0: True}, 0, torch.device("cuda", 0)),
+        ({0: None, 1: False}, 0, torch.device("cuda", 0)),
+    ],
+    ids=["igpu-first", "discrete-first", "igpu-only", "unknown-stays"],
+)
+def test_auto_device_skips_an_igpu_enumerated_before_the_discrete_card(integrated_map, current, expected):
+    config = get_config()
+    config.device = "auto"
+    with (
+        patch("torch.cuda.is_available", return_value=True),
+        patch("torch.cuda.current_device", return_value=current),
+        patch("torch.cuda.device_count", return_value=len(integrated_map)),
+        patch("torch.cuda.get_device_properties", _cuda_properties(integrated_map)),
+    ):
+        assert TorchDevice.choose_torch_device() == expected
+
+
 def test_a_forced_empty_cache_runs_past_a_busy_peer_and_its_wrapper(monkeypatch):
     """The peer-aware wrapper on torch.cuda.empty_cache would defer a forced call again; it must reach torch."""
     calls: list[str] = []
@@ -934,3 +1011,34 @@ def wrapper() -> None:
     assert calls == []
     assert TorchDevice.empty_cache(force=True) is True
     assert calls == ["torch"]
+
+
+def _explicit_cuda_devices(integrated_map: dict[int, bool | None], requested: list[str], platform: str, hip):
+    with (
+        patch("invokeai.backend.util.devices.sys.platform", platform),
+        patch("invokeai.backend.util.devices.torch.version.hip", hip),
+        patch("invokeai.backend.util.devices.torch.cuda.is_available", return_value=True),
+        patch("invokeai.backend.util.devices.torch.cuda.device_count", return_value=len(integrated_map)),
+        patch("invokeai.backend.util.devices.torch.cuda.get_device_properties", _cuda_properties(integrated_map)),
+    ):
+        return TorchDevice.get_generation_devices(requested)
+
+
+def test_naming_the_igpu_beside_a_radeon_on_windows_rocm_is_refused():
+    """Every kernel on it crashed the process (Ryzen gfx1036 beside an RX 9060 XT); refuse it with a reason instead."""
+    with pytest.raises(ValueError, match="integrated GPU"):
+        _explicit_cuda_devices({0: True, 1: False}, ["cuda:0"], "win32", "7.15.26333")
+
+
+@pytest.mark.parametrize(
+    ("integrated_map", "requested", "platform", "hip"),
+    [
+        ({0: True, 1: False}, ["cuda:1"], "win32", "7.15.26333"),  # the discrete card
+        ({0: True}, ["cuda:0"], "win32", "7.15.26333"),  # an APU on its own
+        ({0: True, 1: False}, ["cuda:0"], "linux", "7.15.26333"),  # ROCm on Linux
+        ({0: True, 1: False}, ["cuda:0"], "win32", None),  # CUDA
+    ],
+    ids=["discrete", "apu-alone", "linux-rocm", "cuda"],
+)
+def test_an_explicit_device_is_kept_unless_it_is_that_igpu(integrated_map, requested, platform, hip):
+    assert _explicit_cuda_devices(integrated_map, requested, platform, hip) == [torch.device(requested[0])]
diff --git a/tests/test_check_pins.py b/tests/test_check_pins.py
index 93cf76a45ed..125688b1a00 100644
--- a/tests/test_check_pins.py
+++ b/tests/test_check_pins.py
@@ -136,9 +136,9 @@ def test_rocm_url_regression_is_reported(repo_copy: Path, capsys: pytest.Capture
 
 
 def test_unsupported_backend_fails(repo_copy: Path):
-    """ROCm on Windows has no wheels; pinning an index for it must be rejected."""
+    """Legacy installs do not support ROCm on Windows; pinning an index for it must be rejected."""
     pins = _read_pins(repo_copy)
-    pins["torchIndexUrl"]["win32"]["rocm"] = "https://download.pytorch.org/whl/rocm7.1"
+    pins["torchIndexUrl"]["win32"]["rocm"] = "https://stable.repo.amd.com/rocm/whl-next/"
     _write_pins(repo_copy, pins)
 
     assert check_pins.main(repo_copy) == 1
diff --git a/tests/test_config.py b/tests/test_config.py
index 43fb76ab101..4bcf5a9a444 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -91,6 +91,21 @@ def test_wan_memory_optimization_defaults_to_false_and_loads_from_yaml(tmp_path:
     assert load_and_migrate_config(temp_config_file).wan_memory_optimization is True
 
 
+@pytest.mark.parametrize(
+    ("yaml_value", "expected"),
+    [("on", "on"), ("off", "off"), ('"on"', "on"), ("auto", "auto")],
+    ids=["unquoted-on", "unquoted-off", "quoted", "auto"],
+)
+def test_rocm_aotriton_experimental_loads_unquoted_on_and_off(
+    tmp_path: Path, patch_rootdir: None, yaml_value: str, expected: str
+) -> None:
+    """YAML 1.1 reads an unquoted `on`/`off` as a boolean; the startup log tells users to write exactly that."""
+    temp_config_file = tmp_path / "temp_invokeai.yaml"
+    temp_config_file.write_text(f'schema_version: "4.0.3"\nrocm_aotriton_experimental: {yaml_value}\n')
+
+    assert load_and_migrate_config(temp_config_file).rocm_aotriton_experimental == expected
+
+
 def test_db_synchronous_defaults_to_full_and_loads_from_yaml(tmp_path: Path, patch_rootdir: None) -> None:
     # The default must stay `full`: anything else would quietly reduce durability for every existing
     # install on upgrade.
diff --git a/uv.lock b/uv.lock
index 87e4a1256c7..e26859b6b09 100644
--- a/uv.lock
+++ b/uv.lock
@@ -47,6 +47,17 @@ constraints = [
 overrides = [{ name = "opencv-python", marker = "sys_platform == 'never'" }]
 excludes = ["notebook"]
 
+[[manifest.dependency-metadata]]
+name = "rocm"
+version = "10.0.0"
+requires-dist = ["rocm-sdk-core==10.0.0", "rocm-sdk-libraries==10.0.0 ; extra == 'libraries'"]
+provides-extras = ["libraries"]
+
+[[manifest.dependency-metadata]]
+name = "torch"
+version = "2.13.0+rocm10.0.0"
+requires-dist = ["filelock", "typing-extensions>=4.10.0", "setuptools>=77.0.3", "sympy>=1.13.3", "networkx>=2.5.1", "jinja2", "fsspec>=0.8.5", "rocm[libraries]==10.0.0", "rocm-bootstrap", "triton==3.8.0+git4cff872c.rocm10.0.0 ; sys_platform == 'linux'"]
+
 [[package]]
 name = "absl-py"
 version = "2.4.0"
@@ -61,17 +72,17 @@ name = "accelerate"
 version = "1.14.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "huggingface-hub" },
-    { name = "numpy" },
-    { name = "packaging" },
-    { name = "psutil" },
-    { name = "pyyaml" },
-    { name = "safetensors" },
-    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'linux' and sys_platform != 'win32') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torch", version = "2.13.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "huggingface-hub", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "numpy", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "packaging", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "psutil", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pyyaml", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "safetensors", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or sys_platform == 'darwin' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.13.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
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 wheels = [
@@ -607,12 +1330,12 @@ wheels = [
 
 [package.optional-dependencies]
 torch = [
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-    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'linux' and sys_platform != 'win32') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torch", version = "2.13.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "accelerate", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or sys_platform == 'darwin' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.13.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
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     { name = "torch", version = "2.13.0+cu130", source = { registry = "https://download.pytorch.org/whl/cu130" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torch", version = "2.13.0+rocm7.2", source = { registry = "https://download.pytorch.org/whl/rocm7.2" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.13.0+rocm10.0.0", source = { registry = "https://stable.repo.amd.com/rocm/whl-next/" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torch", version = "2.13.0+xpu", source = { registry = "https://download.pytorch.org/whl/xpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
 ]
 
@@ -662,8 +1385,8 @@ name = "dynamicprompts"
 version = "0.31.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "jinja2" },
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 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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-    { name = "h11" },
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@@ -869,10 +1592,10 @@ name = "httpx"
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 dependencies = [
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-    { name = "certifi" },
-    { name = "httpcore" },
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     { name = "torchvision", version = "0.28.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torchvision", version = "0.28.0+cu130", source = { registry = "https://download.pytorch.org/whl/cu130" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torchvision", version = "0.28.0+rocm7.2", source = { registry = "https://download.pytorch.org/whl/rocm7.2" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torchvision", version = "0.28.0+rocm10.0.0", source = { registry = "https://stable.repo.amd.com/rocm/whl-next/" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torchvision", version = "0.28.0+xpu", source = { registry = "https://download.pytorch.org/whl/xpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "transformers" },
-    { name = "umap-learn" },
-    { name = "uvicorn", extra = ["standard"] },
+    { name = "transformers", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "umap-learn", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "uvicorn", extra = ["standard"], marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 
 [package.optional-dependencies]
 cpu = [
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+    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torchvision", version = "0.28.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 cuda = [
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+    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torch", version = "2.13.0+cu130", source = { registry = "https://download.pytorch.org/whl/cu130" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torchvision", version = "0.28.0+cu130", source = { registry = "https://download.pytorch.org/whl/cu130" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 dev = [
-    { name = "gprof2dot" },
-    { name = "jurigged" },
-    { name = "pudb" },
-    { name = "snakeviz" },
+    { name = "gprof2dot", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "jurigged", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pudb", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "snakeviz", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 dist = [
-    { name = "pip-tools" },
-    { name = "pipdeptree" },
-    { name = "twine" },
+    { name = "pip-tools", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pipdeptree", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "twine", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 mysql = [
-    { name = "pymysql" },
+    { name = "pymysql", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 onnx = [
-    { name = "onnxruntime" },
+    { name = "onnxruntime", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 onnx-cuda = [
-    { name = "onnxruntime-gpu" },
+    { name = "onnxruntime-gpu", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 onnx-directml = [
-    { name = "onnxruntime-directml" },
+    { name = "onnxruntime-directml", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 rocm = [
-    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torch", version = "2.13.0+rocm7.2", source = { registry = "https://download.pytorch.org/whl/rocm7.2" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torchvision", version = "0.28.0+rocm7.2", source = { registry = "https://download.pytorch.org/whl/rocm7.2" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "triton-rocm", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "amd-torch-device-gfx1010", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1011", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1012", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1030", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1031", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1032", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1033", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1034", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1035", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1036", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1100", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1101", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1102", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1103", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx110x", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1150", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1151", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1152", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1153", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx115x", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx12-0", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1200", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1201", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx1250", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "amd-torch-device-gfx908", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx90a", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torch-device-gfx942", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "amd-torch-device-gfx950", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "amd-torchvision-device-gfx1010", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1011", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1012", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1030", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1031", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1032", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1033", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1034", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1035", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1036", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1100", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1101", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1102", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1103", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1150", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1151", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1152", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1153", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1200", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1201", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx1250", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "amd-torchvision-device-gfx908", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx90a", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "amd-torchvision-device-gfx942", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "amd-torchvision-device-gfx950", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "bitsandbytes", version = "0.50.2", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-core", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1010", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1011", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1012", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1030", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1031", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1032", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1033", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1034", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1035", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1036", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1100", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1101", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1102", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1103", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1150", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1151", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1152", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1153", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1200", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1201", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx1250", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "rocm-sdk-device-gfx908", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx90a", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "rocm-sdk-device-gfx942", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "rocm-sdk-device-gfx950", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "rocm-sdk-libraries", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
+    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.13.0+rocm10.0.0", source = { registry = "https://stable.repo.amd.com/rocm/whl-next/" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torchvision", version = "0.28.0+rocm10.0.0", source = { registry = "https://stable.repo.amd.com/rocm/whl-next/" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "triton", version = "3.8.0+git4cff872c.rocm10.0.0", source = { registry = "https://stable.repo.amd.com/rocm/whl-next/" }, marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
 ]
 test = [
-    { name = "httpx" },
-    { name = "humanize" },
-    { name = "mypy" },
-    { name = "polyfactory" },
-    { name = "pre-commit" },
-    { name = "pytest" },
-    { name = "pytest-cov" },
-    { name = "pytest-datadir" },
-    { name = "pytest-timeout" },
-    { name = "pytest-xdist" },
-    { name = "requests-testadapter" },
-    { name = "ruff" },
-    { name = "ruff-lsp" },
+    { name = "httpx", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "humanize", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "mypy", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "polyfactory", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pre-commit", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pytest", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pytest-cov", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pytest-datadir", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pytest-timeout", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "pytest-xdist", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "requests-testadapter", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "ruff", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "ruff-lsp", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 xformers = [
-    { name = "xformers", version = "0.0.31.post1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "xformers", version = "0.0.31.post1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
     { name = "xformers", version = "0.0.35", source = { registry = "https://download.pytorch.org/whl/cu130" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" },
 ]
 xpu = [
-    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra != 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torch", version = "2.13.0+xpu", source = { registry = "https://download.pytorch.org/whl/xpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
-    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
+    { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra != 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'darwin' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
     { name = "torchvision", version = "0.28.0+xpu", source = { registry = "https://download.pytorch.org/whl/xpu" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
     { name = "triton-xpu", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" },
 ]
@@ -1232,8 +2038,62 @@ xpu = [
 requires-dist = [
     { name = "accelerate" },
     { name = "alembic", specifier = ">=1.20,<2" },
+    { name = "amd-torch-device-gfx1010", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1011", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1012", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1030", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1031", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1032", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1033", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1034", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1035", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1036", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1100", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1101", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1102", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1103", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx110x", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1150", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1151", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1152", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1153", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx115x", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx12-0", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1200", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1201", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx1250", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx908", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx90a", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx942", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torch-device-gfx950", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==2.13.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1010", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1011", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1012", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1030", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1031", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1032", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1033", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1034", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1035", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1036", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1100", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1101", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1102", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1103", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1150", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1151", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1152", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1153", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1200", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1201", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx1250", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx908", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx90a", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx942", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "amd-torchvision-device-gfx950", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
     { name = "bcrypt", specifier = "<4.0.0" },
     { name = "bitsandbytes", marker = "sys_platform != 'darwin'" },
+    { name = "bitsandbytes", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = ">=0.50.2" },
     { name = "blake3" },
     { name = "compel", specifier = ">=2.4.0,<3" },
     { name = "deprecated" },
@@ -1289,6 +2149,34 @@ requires-dist = [
     { name = "pywavelets" },
     { name = "requests" },
     { name = "requests-testadapter", marker = "extra == 'test'" },
+    { name = "rocm", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-core", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1010", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1011", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1012", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1030", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1031", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1032", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1033", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1034", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1035", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1036", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1100", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1101", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1102", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1103", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1150", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1151", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1152", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1153", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1200", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1201", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx1250", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
+    { name = "rocm-sdk-device-gfx908", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (sys_platform == 'win32' and extra == 'rocm')", specifier = "==10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" },
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@@ -1302,19 +2190,21 @@ requires-dist = [
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@@ -1322,12 +2212,12 @@ requires-dist = [
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-    { name = "opt-einsum" },
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@@ -1684,14 +2574,14 @@ name = "mistral-common"
 version = "1.11.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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-    { name = "numpy" },
-    { name = "pillow" },
-    { name = "pydantic" },
-    { name = "pydantic-extra-types", extra = ["pycountry"] },
-    { name = "requests" },
-    { name = "tiktoken" },
-    { name = "typing-extensions" },
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 name = "rpds-py"
 version = "2026.5.1"
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@@ -3000,11 +4227,11 @@ name = "scikit-learn"
 version = "1.9.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "joblib" },
-    { name = "narwhals" },
-    { name = "numpy" },
-    { name = "scipy" },
-    { name = "threadpoolctl" },
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@@ -3146,22 +4373,22 @@ name = "spandrel"
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+    { name = "typing-extensions", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" },
 ]
 wheels = [
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+    { url = "https://stable.repo.amd.com/rocm/pytorch/whl-next/torch/torch-2.13.0%2Brocm10.0.0-cp312-cp312-linux_x86_64.whl" },
+    { url = "https://stable.repo.amd.com/rocm/pytorch/whl-next/torch/torch-2.13.0%2Brocm10.0.0-cp312-cp312-win_amd64.whl" },
 ]
 
 [[package]]
@@ -3465,15 +4695,15 @@ name = "torchsde"
 version = "0.2.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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 [[package]]
@@ -3637,15 +4869,15 @@ name = "transformers"
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-name = "triton-rocm"
-version = "3.7.1"
-source = { registry = "https://download.pytorch.org/whl/rocm7.2" }
+name = "triton"
+version = "3.8.0+git4cff872c.rocm10.0.0"
+source = { registry = "https://stable.repo.amd.com/rocm/whl-next/" }
+resolution-markers = [
+    "platform_machine == 'x86_64' and sys_platform == 'linux'",
+]
 wheels = [
-    { url = "https://download-r2.pytorch.org/whl/triton_rocm-3.7.1-cp312-cp312-linux_x86_64.whl", hash = "sha256:b200ade2418b8450e4e3e69c33c804e2cc07d1e36dc9678ac8ac1dd65f9e10e1", upload-time = "2026-06-17T17:05:14Z" },
+    { url = "https://stable.repo.amd.com/rocm/pytorch/whl-next/triton/triton-3.8.0%2Bgit4cff872c.rocm10.0.0-cp312-cp312-linux_x86_64.whl" },
 ]
 
 [[package]]
@@ -3686,15 +4924,15 @@ name = "twine"
 version = "6.2.0"
 source = { registry = "https://pypi.org/simple" }
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-    { name = "readme-renderer" },
-    { name = "requests" },
-    { name = "requests-toolbelt" },
-    { name = "rfc3986" },
-    { name = "rich" },
-    { name = "urllib3" },
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@@ -3706,10 +4944,10 @@ name = "typer"
 version = "0.25.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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