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Set min_length to 0 and remove attention_mask=True

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Silver 2025-03-23 06:14:50 +01:00 committed by GitHub
parent fda35f37e5
commit 9fa34e7216
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1 changed files with 1 additions and 2 deletions
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comfy/text_encoders/chroma.py
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@ -11,7 +11,6 @@ class T5XXLModel(sd1_clip.SDClipModel):
if t5xxl_scaled_fp8 is not None:
model_options = model_options.copy()
model_options["scaled_fp8"] = t5xxl_scaled_fp8
attention_mask = True
super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options)
@ -24,7 +23,7 @@ class ChromaT5XXL(sd1_clip.SD1ClipModel):
class T5XXLTokenizer(sd1_clip.SDTokenizer):
def __init__(self, embedding_directory=None, tokenizer_data={}):
tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer")
super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256)
super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=0)
class ChromaT5Tokenizer(sd1_clip.SD1Tokenizer):