Spaces:
Running
on
L40S
Running
on
L40S
from comfy import sd1_clip | |
import os | |
class SD2ClipHModel(sd1_clip.SDClipModel): | |
def __init__(self, arch="ViT-H-14", device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None, dtype=None, model_options={}): | |
if layer == "penultimate": | |
layer="hidden" | |
layer_idx=-2 | |
textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd2_clip_config.json") | |
super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"start": 49406, "end": 49407, "pad": 0}, return_projected_pooled=True, model_options=model_options) | |
class SD2ClipHTokenizer(sd1_clip.SDTokenizer): | |
def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}): | |
super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory, embedding_size=1024) | |
class SD2Tokenizer(sd1_clip.SD1Tokenizer): | |
def __init__(self, embedding_directory=None, tokenizer_data={}): | |
super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="h", tokenizer=SD2ClipHTokenizer) | |
class SD2ClipModel(sd1_clip.SD1ClipModel): | |
def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): | |
super().__init__(device=device, dtype=dtype, model_options=model_options, clip_name="h", clip_model=SD2ClipHModel, **kwargs) | |