Correct spelling 'token_weight_pars_t5' to 'token_weight_pairs_t5' (#4200)

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Silver 2024-08-04 23:10:02 +02:00 committed by GitHub
parent ddb6a9f47c
commit 7afa985fba
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2 changed files with 4 additions and 4 deletions

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@ -52,9 +52,9 @@ class FluxClipModel(torch.nn.Module):
def encode_token_weights(self, token_weight_pairs):
token_weight_pairs_l = token_weight_pairs["l"]
token_weight_pars_t5 = token_weight_pairs["t5xxl"]
token_weight_pairs_t5 = token_weight_pairs["t5xxl"]
t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pars_t5)
t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pairs_t5)
l_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l)
return t5_out, l_pooled

View File

@ -81,7 +81,7 @@ class SD3ClipModel(torch.nn.Module):
def encode_token_weights(self, token_weight_pairs):
token_weight_pairs_l = token_weight_pairs["l"]
token_weight_pairs_g = token_weight_pairs["g"]
token_weight_pars_t5 = token_weight_pairs["t5xxl"]
token_weight_pairs_t5 = token_weight_pairs["t5xxl"]
lg_out = None
pooled = None
out = None
@ -108,7 +108,7 @@ class SD3ClipModel(torch.nn.Module):
pooled = torch.cat((l_pooled, g_pooled), dim=-1)
if self.t5xxl is not None:
t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pars_t5)
t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pairs_t5)
if lg_out is not None:
out = torch.cat([lg_out, t5_out], dim=-2)
else: