| from comfy import sd1_clip | |
| from .spiece_tokenizer import SPieceTokenizer | |
| import comfy.text_encoders.t5 | |
| import os | |
| class UMT5XXlModel(sd1_clip.SDClipModel): | |
| def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): | |
| textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "umt5_config_xxl.json") | |
| 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=True, zero_out_masked=True, model_options=model_options) | |
| class UMT5XXlTokenizer(sd1_clip.SDTokenizer): | |
| def __init__(self, embedding_directory=None, tokenizer_data={}): | |
| tokenizer = tokenizer_data.get("spiece_model", None) | |
| super().__init__(tokenizer, pad_with_end=False, embedding_size=4096, embedding_key='umt5xxl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=512, pad_token=0) | |
| def state_dict(self): | |
| return {"spiece_model": self.tokenizer.serialize_model()} | |
| class WanT5Tokenizer(sd1_clip.SD1Tokenizer): | |
| def __init__(self, embedding_directory=None, tokenizer_data={}): | |
| super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="umt5xxl", tokenizer=UMT5XXlTokenizer) | |
| class WanT5Model(sd1_clip.SD1ClipModel): | |
| def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): | |
| super().__init__(device=device, dtype=dtype, model_options=model_options, name="umt5xxl", clip_model=UMT5XXlModel, **kwargs) | |
| def te(dtype_t5=None, t5xxl_scaled_fp8=None): | |
| class WanTEModel(WanT5Model): | |
| def __init__(self, device="cpu", dtype=None, model_options={}): | |
| if t5xxl_scaled_fp8 is not None and "scaled_fp8" not in model_options: | |
| model_options = model_options.copy() | |
| model_options["scaled_fp8"] = t5xxl_scaled_fp8 | |
| if dtype_t5 is not None: | |
| dtype = dtype_t5 | |
| super().__init__(device=device, dtype=dtype, model_options=model_options) | |
| return WanTEModel | |