Create Gen
Browse files
Gen
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# Import necessary libraries
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import torch
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from transformers import GPT2Tokenizer, GPT2Model
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import numpy as np
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# Load pre-trained model and tokenizer
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model_name = "gpt2" # You can use other NSFW models if available
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tokenizer = GPT2Tokenizer.from_pretrained(model_name)
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model = GPT2Model.from_pretrained(model_name)
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# Define function to generate NSFW images
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def generate_nsfw_image(prompt, max_length=50, num_return_sequences=1):
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input_ids = tokenizer.encode(prompt, return_tensors="pt")
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with torch.no_grad():
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output = model.generate(
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input_ids=input_ids,
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max_length=max_length,
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num_return_sequences=num_return_sequences,
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do_sample=True,
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temperature=0.7,
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)
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nsfw_images = [tokenizer.decode(seq, skip_special_tokens=True) for seq in output]
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return nsfw_images
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# Example usage:
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prompt = "Two people engaging in explicit activity"
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nsfw_images = generate_nsfw_image(prompt)
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print("Generated NSFW Images:")
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print(nsfw_images)
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