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import torch |
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from transformers import GPT2Tokenizer, GPT2LMHeadModel, pipeline |
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tokenizer = GPT2Tokenizer.from_pretrained('distilgpt2') |
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tokenizer.add_special_tokens({'pad_token': '[PAD]'}) |
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model = GPT2LMHeadModel.from_pretrained('FredZhang7/anime-anything-promptgen-v2') |
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prompt = r'1girl, genshin' |
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nlp = pipeline('text-generation', model=model, tokenizer=tokenizer) |
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outs = nlp(prompt, max_length=76, num_return_sequences=10, do_sample=True, repetition_penalty=1.2, temperature=0.7, top_k=4, early_stopping=True) |
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print('\nInput:\n' + 100 * '-') |
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print('\033[96m' + prompt + '\033[0m') |
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print('\nOutput:\n' + 100 * '-') |
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print(outs) |
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