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Update sd1_clip.py (#3684)
Made token instance check more flexible so it also works with integers from numpy arrays or long tensors
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@ -9,6 +9,7 @@ from . import model_management
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import comfy.clip_model
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import json
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import logging
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import numbers
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def gen_empty_tokens(special_tokens, length):
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start_token = special_tokens.get("start", None)
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@ -130,10 +131,10 @@ class SDClipModel(torch.nn.Module, ClipTokenWeightEncoder):
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for x in tokens:
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tokens_temp = []
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for y in x:
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if isinstance(y, int):
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if isinstance(y, numbers.Integral):
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if y == token_dict_size: #EOS token
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y = -1
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tokens_temp += [y]
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tokens_temp += [int(y)]
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else:
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if y.shape[0] == current_embeds.weight.shape[1]:
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embedding_weights += [y]
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