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fix wan umt5 state dict converter #170

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merged 1 commit into from
Sep 16, 2025
+13 −13
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fix wan umt5 state dict converter #170

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26 changes: 13 additions & 13 deletions diffsynth_engine/models/wan/wan_text_encoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -198,22 +198,22 @@ def __init__(self, num_encoder_layers: int = 24):

def _from_diffusers(self, state_dict):
rename_dict = {
"enc.output_norm.weight": "norm.weight",
"token_embd.weight": "token_embedding.weight",
"shared.weight": "token_embedding.weight",
"encoder.final_layer_norm.weight": "norm.weight",
}
for i in range(self.num_encoder_layers):
rename_dict.update(
{
f"enc.blk.{i}.attn_q.weight": f"blocks.{i}.attn.q.weight",
f"enc.blk.{i}.attn_k.weight": f"blocks.{i}.attn.k.weight",
f"enc.blk.{i}.attn_v.weight": f"blocks.{i}.attn.v.weight",
f"enc.blk.{i}.attn_o.weight": f"blocks.{i}.attn.o.weight",
f"enc.blk.{i}.ffn_up.weight": f"blocks.{i}.ffn.fc1.weight",
f"enc.blk.{i}.ffn_down.weight": f"blocks.{i}.ffn.fc2.weight",
f"enc.blk.{i}.ffn_gate.weight": f"blocks.{i}.ffn.gate.0.weight",
f"enc.blk.{i}.attn_norm.weight": f"blocks.{i}.norm1.weight",
f"enc.blk.{i}.ffn_norm.weight": f"blocks.{i}.norm2.weight",
f"enc.blk.{i}.attn_rel_b.weight": f"blocks.{i}.pos_embedding.embedding.weight",
f"encoder.block.{i}.layer.0.SelfAttention.q.weight": f"blocks.{i}.attn.q.weight",
f"encoder.block.{i}.layer.0.SelfAttention.k.weight": f"blocks.{i}.attn.k.weight",
f"encoder.block.{i}.layer.0.SelfAttention.v.weight": f"blocks.{i}.attn.v.weight",
f"encoder.block.{i}.layer.0.SelfAttention.o.weight": f"blocks.{i}.attn.o.weight",
f"encoder.block.{i}.layer.0.SelfAttention.relative_attention_bias.weight": f"blocks.{i}.pos_embedding.embedding.weight",
f"encoder.block.{i}.layer.0.layer_norm.weight": f"blocks.{i}.norm1.weight",
f"encoder.block.{i}.layer.1.DenseReluDense.wi_0.weight": f"blocks.{i}.ffn.gate.0.weight",
f"encoder.block.{i}.layer.1.DenseReluDense.wi_1.weight": f"blocks.{i}.ffn.fc1.weight",
f"encoder.block.{i}.layer.1.DenseReluDense.wo.weight": f"blocks.{i}.ffn.fc2.weight",
f"encoder.block.{i}.layer.1.layer_norm.weight": f"blocks.{i}.norm2.weight",
}
)

Expand All @@ -224,7 +224,7 @@ def _from_diffusers(self, state_dict):
return new_state_dict

def convert(self, state_dict):
if "enc.output_norm.weight" in state_dict:
if "encoder.final_layer_norm.weight" in state_dict:
logger.info("use diffusers format state dict")
return self._from_diffusers(state_dict)
return state_dict
Expand Down