Make it possible to load tokenizer data from checkpoints.
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@@ -13,22 +13,13 @@ class T5XXLModel(sd1_clip.SDClipModel):
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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)
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class T5XXLTokenizer(sd1_clip.SDTokenizer):
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def __init__(self, embedding_directory=None):
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def __init__(self, embedding_directory=None, tokenizer_data={}):
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tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer")
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super().__init__(tokenizer_path, 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=77)
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class SDT5XXLTokenizer(sd1_clip.SD1Tokenizer):
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def __init__(self, embedding_directory=None):
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super().__init__(embedding_directory=embedding_directory, clip_name="t5xxl", tokenizer=T5XXLTokenizer)
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class SDT5XXLModel(sd1_clip.SD1ClipModel):
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def __init__(self, device="cpu", dtype=None, **kwargs):
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super().__init__(device=device, dtype=dtype, clip_name="t5xxl", clip_model=T5XXLModel, **kwargs)
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class SD3Tokenizer:
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def __init__(self, embedding_directory=None):
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def __init__(self, embedding_directory=None, tokenizer_data={}):
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self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory)
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self.clip_g = sdxl_clip.SDXLClipGTokenizer(embedding_directory=embedding_directory)
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self.t5xxl = T5XXLTokenizer(embedding_directory=embedding_directory)
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