Fix bundled embed.
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@ -313,17 +313,14 @@ def expand_directory_list(directories):
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dirs.add(root)
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dirs.add(root)
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return list(dirs)
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return list(dirs)
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def bundled_embed(embed, key): #bundled embedding in lora format
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def bundled_embed(embed, prefix, suffix): #bundled embedding in lora format
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i = 0
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i = 0
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out_list = []
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out_list = []
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while True:
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for k in embed:
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i += 1
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if k.startswith(prefix) and k.endswith(suffix):
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k = key.format(i)
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out_list.append(embed[k])
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w = embed.get(k, None)
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if len(out_list) == 0:
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if w is None:
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return None
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break
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else:
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out_list.append(w)
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return torch.cat(out_list, dim=0)
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return torch.cat(out_list, dim=0)
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@ -392,13 +389,13 @@ def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=No
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embed_out = torch.cat(out_list, dim=0)
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embed_out = torch.cat(out_list, dim=0)
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elif embed_key is not None and embed_key in embed:
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elif embed_key is not None and embed_key in embed:
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embed_out = embed[embed_key]
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embed_out = embed[embed_key]
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elif 'bundle_emb.place1.string_to_param.*' in embed:
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embed_out = bundled_embed(embed, 'bundle_emb.place{}.string_to_param.*')
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elif 'bundle_emb.place1.{}'.format(embed_key) in embed:
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embed_out = bundled_embed(embed, 'bundle_emb.place{}.{}'.format('{}', embed_key))
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else:
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else:
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values = embed.values()
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embed_out = bundled_embed(embed, 'bundle_emb.', '.string_to_param.*')
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embed_out = next(iter(values))
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if embed_out is None:
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embed_out = bundled_embed(embed, 'bundle_emb.', '.{}'.format(embed_key))
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if embed_out is None:
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values = embed.values()
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embed_out = next(iter(values))
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return embed_out
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return embed_out
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class SDTokenizer:
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class SDTokenizer:
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