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Download diffsynth/models/sdxl_vae_encoder.py from hugging-apps/echo-memory: direct link, hf CLI and curl.
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- Download file 762 Bytes
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https://huggingface.co/spaces/hugging-apps/echo-memory/resolve/main/diffsynth/models/sdxl_vae_encoder.py
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hf download hf://spaces/hugging-apps/echo-memory/diffsynth/models/sdxl_vae_encoder.py
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curl -L -o sdxl_vae_encoder.py https://huggingface.co/spaces/hugging-apps/echo-memory/resolve/main/diffsynth/models/sdxl_vae_encoder.py
762 Bytes
| from .sd_vae_encoder import SDVAEEncoderStateDictConverter, SDVAEEncoder | |
| class SDXLVAEEncoder(SDVAEEncoder): | |
| def __init__(self, upcast_to_float32=True): | |
| super().__init__() | |
| self.scaling_factor = 0.13025 | |
| def state_dict_converter(): | |
| return SDXLVAEEncoderStateDictConverter() | |
| class SDXLVAEEncoderStateDictConverter(SDVAEEncoderStateDictConverter): | |
| def __init__(self): | |
| super().__init__() | |
| def from_diffusers(self, state_dict): | |
| state_dict = super().from_diffusers(state_dict) | |
| return state_dict, {"upcast_to_float32": True} | |
| def from_civitai(self, state_dict): | |
| state_dict = super().from_civitai(state_dict) | |
| return state_dict, {"upcast_to_float32": True} | |