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24 lines
1.3 KiB
24 lines
1.3 KiB
from comfy import sd1_clip |
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import torch |
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import os |
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class SD2ClipHModel(sd1_clip.SDClipModel): |
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def __init__(self, arch="ViT-H-14", device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None, dtype=None): |
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if layer == "penultimate": |
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layer="hidden" |
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layer_idx=-2 |
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textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd2_clip_config.json") |
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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}) |
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class SD2ClipHTokenizer(sd1_clip.SDTokenizer): |
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def __init__(self, tokenizer_path=None, embedding_directory=None): |
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super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory, embedding_size=1024) |
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class SD2Tokenizer(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="h", tokenizer=SD2ClipHTokenizer) |
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class SD2ClipModel(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="h", clip_model=SD2ClipHModel, **kwargs)
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