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multimodalart
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lora-ease-helper

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multimodalart HF staff commited on
Commit
ed4c74d
·
1 Parent(s): 25c48b5

Update script.py

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Files changed (1) hide show
  1. script.py +2 -2
script.py CHANGED
@@ -36,8 +36,8 @@ def do_inference(dataset_name, output_dir, num_tokens):
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  tokens_sequence = ''.join(f'<s{i}>' for i in range(num_tokens))
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  tokens_list = tokens_sequence.split('>')
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  state_dict = load_file(f"{output_dir}/embeddings.safetensors")
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- pipeline.load_textual_inversion(state_dict["clip_l"], token=tokens_list, text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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- pipeline.load_textual_inversion(state_dict["clip_g"], token=tokens_list, text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
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  prompts = [prompt.replace("TOK", tokens_sequence) for prompt in prompts]
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  for i, prompt in enumerate(prompts):
 
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  tokens_sequence = ''.join(f'<s{i}>' for i in range(num_tokens))
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  tokens_list = tokens_sequence.split('>')
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  state_dict = load_file(f"{output_dir}/embeddings.safetensors")
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+ pipe.load_textual_inversion(state_dict["clip_l"], token=tokens_list, text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
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+ pipe.load_textual_inversion(state_dict["clip_g"], token=tokens_list, text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
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  prompts = [prompt.replace("TOK", tokens_sequence) for prompt in prompts]
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  for i, prompt in enumerate(prompts):