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Don't try to use clip_fea on t2v model.

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comfyanonymous 2025-02-26 08:38:09 -05:00
parent b6fefe686b
commit 4bca7367f3
1 changed files with 3 additions and 1 deletions
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4
comfy/ldm/wan/model.py
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@ -378,6 +378,8 @@ class WanModel(torch.nn.Module):
if model_type == 'i2v': if model_type == 'i2v':
self.img_emb = MLPProj(1280, dim, operation_settings=operation_settings) self.img_emb = MLPProj(1280, dim, operation_settings=operation_settings)
else:
self.img_emb = None
def forward_orig( def forward_orig(
self, self,
@ -421,7 +423,7 @@ class WanModel(torch.nn.Module):
# context # context
context = self.text_embedding(torch.cat([context, context.new_zeros(context.size(0), self.text_len - context.size(1), context.size(2))], dim=1)) context = self.text_embedding(torch.cat([context, context.new_zeros(context.size(0), self.text_len - context.size(1), context.size(2))], dim=1))
if clip_fea is not None: if clip_fea is not None and self.img_emb is not None:
context_clip = self.img_emb(clip_fea) # bs x 257 x dim context_clip = self.img_emb(clip_fea) # bs x 257 x dim
context = torch.concat([context_clip, context], dim=1) context = torch.concat([context_clip, context], dim=1)