DiffSynth-Studio 2.0 major update

diffsynth/models/wan_video_vace.py

@@ -1,6 +1,6 @@
 import torch
 from .wan_video_dit import DiTBlock
-from .utils import hash_state_dict_keys
+
 
 class VaceWanAttentionBlock(DiTBlock):
     def __init__(self, has_image_input, dim, num_heads, ffn_dim, eps=1e-6, block_id=0):
@@ -85,29 +85,3 @@ class VaceWanModel(torch.nn.Module):
                 c = block(c, x, context, t_mod, freqs)
         hints = torch.unbind(c)[:-1]
         return hints
-    
-    @staticmethod
-    def state_dict_converter():
-        return VaceWanModelDictConverter()
-    
-    
-class VaceWanModelDictConverter:
-    def __init__(self):
-        pass
-    
-    def from_civitai(self, state_dict):
-        state_dict_ = {name: param for name, param in state_dict.items() if name.startswith("vace")}
-        if hash_state_dict_keys(state_dict_) == '3b2726384e4f64837bdf216eea3f310d': # vace 14B
-            config = {
-                "vace_layers": (0, 5, 10, 15, 20, 25, 30, 35),
-                "vace_in_dim": 96,
-                "patch_size": (1, 2, 2),
-                "has_image_input": False,
-                "dim": 5120,
-                "num_heads": 40,
-                "ffn_dim": 13824,
-                "eps": 1e-06,                
-            }
-        else:
-            config = {}
-        return state_dict_, config