wan-series

diffsynth/models/wan_video_image_encoder.py

@@ -874,29 +874,5 @@ class WanImageEncoder(torch.nn.Module):
         videos = self.transforms.transforms[-1](videos.mul_(0.5).add_(0.5))
 
         # forward
-        dtype = next(iter(self.model.visual.parameters())).dtype
-        videos = videos.to(dtype)
         out = self.model.visual(videos, use_31_block=True)
         return out
-        
-    @staticmethod
-    def state_dict_converter():
-        return WanImageEncoderStateDictConverter()
-    
-    
-class WanImageEncoderStateDictConverter:
-    def __init__(self):
-        pass
-
-    def from_diffusers(self, state_dict):
-        return state_dict
-    
-    def from_civitai(self, state_dict):
-        state_dict_ = {}
-        for name, param in state_dict.items():
-            if name.startswith("textual."):
-                continue
-            name = "model." + name
-            state_dict_[name] = param
-        return state_dict_
-