mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-01-09 13:50:49 +08:00
57 lines
2.4 KiB
Python
57 lines
2.4 KiB
Python
from transformers import T5TokenizerFast
|
|
|
|
from . import sd3_clip
|
|
from .. import sd1_clip
|
|
from ..component_model import files
|
|
from ..sd1_clip import gen_empty_tokens
|
|
|
|
|
|
class T5XXLModel(sd3_clip.T5XXLModel):
|
|
def __init__(self, **kwargs):
|
|
super().__init__(**kwargs)
|
|
|
|
def gen_empty_tokens(self, special_tokens, *args, **kwargs):
|
|
# PixArt expects the negative to be all pad tokens
|
|
special_tokens = special_tokens.copy()
|
|
special_tokens.pop("end")
|
|
return gen_empty_tokens(special_tokens, *args, **kwargs)
|
|
|
|
|
|
class PixArtT5XXL(sd1_clip.SD1ClipModel):
|
|
def __init__(self, device="cpu", dtype=None, model_options=None):
|
|
super().__init__(device=device, dtype=dtype, name="t5xxl", clip_model=T5XXLModel, model_options=model_options)
|
|
if model_options is None:
|
|
model_options = {}
|
|
|
|
|
|
class T5XXLTokenizer(sd1_clip.SDTokenizer):
|
|
def __init__(self, embedding_directory=None, tokenizer_data=None):
|
|
if tokenizer_data is None:
|
|
tokenizer_data = {}
|
|
tokenizer_path = files.get_package_as_path("comfy.text_encoders.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=1, tokenizer_data=tokenizer_data) # no padding
|
|
|
|
|
|
class PixArtTokenizer(sd1_clip.SD1Tokenizer):
|
|
def __init__(self, embedding_directory=None, tokenizer_data=None):
|
|
if tokenizer_data is None:
|
|
tokenizer_data = {}
|
|
super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5xxl", tokenizer=T5XXLTokenizer)
|
|
|
|
|
|
|
|
def pixart_te(dtype_t5=None, t5_quantization_metadata=None):
|
|
class PixArtTEModel_(PixArtT5XXL):
|
|
def __init__(self, device="cpu", dtype=None, model_options=None):
|
|
if model_options is None:
|
|
model_options = {}
|
|
if t5_quantization_metadata is not None:
|
|
model_options = model_options.copy()
|
|
model_options["t5xxl_quantization_metadata"] = t5_quantization_metadata
|
|
if dtype is None:
|
|
dtype = dtype_t5
|
|
super().__init__(device=device, dtype=dtype, model_options=model_options)
|
|
|
|
return PixArtTEModel_
|