Stable Diffusion 2.0 uses a new text encoder, so the PyTorch mapping for that model and any future models won't work any more. It's beyond my expertise, but can we write into clip_encoder.py the ability to create the text encoder model for the new version of SD2.0?
Creating a choice for legacy or new encoder is a simple bool variable that can be passed, but I have no clue on how to create the new text encoder.
Stable Diffusion 2.0 uses a new text encoder, so the PyTorch mapping for that model and any future models won't work any more. It's beyond my expertise, but can we write into clip_encoder.py the ability to create the text encoder model for the new version of SD2.0?
Creating a choice for legacy or new encoder is a simple bool variable that can be passed, but I have no clue on how to create the new text encoder.