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README.md
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#### Model Description
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This model is a playground that minimizes censorship restrictions, allowing exploration of the technical possibilities of AI-based image generation. Through various prompts, you can test censorship boundaries and verify the actual performance of image generation AI.
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#### Model Description
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This model is a playground that minimizes censorship restrictions, allowing exploration of the technical possibilities of AI-based image generation. Through various prompts, you can test censorship boundaries and verify the actual performance of image generation AI.
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## Example code
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```python
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import torch
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from diffusers import AutoPipelineForText2Image
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# PEFT 라이브러리 필요 (LoRA 로딩용)
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from peft import PeftModel, PeftConfig
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# 기기 설정
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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# 기본 모델 로드
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print("기본 FLUX 모델 로드 중...")
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pipe = AutoPipelineForText2Image.from_pretrained(
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"black-forest-labs/FLUX.1-dev",
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torch_dtype=torch.float16 # bfloat16 대신 float16 사용
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)
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pipe.to(device)
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# Uncensored LoRA 로드
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print("Uncensored LoRA 로드 중...")
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pipe.load_lora_weights(
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'Heartsync/Flux-NSFW-uncensored',
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weight_name='lora.safetensors',
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adapter_name="uncensored"
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)
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# 이미지 생성
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prompt = "A woman in a sheer white dress standing on a beach at sunset, backlit so her silhouette is visible through the thin fabric, shot with Canon EOS R5, 85mm f/1.2 lens, golden hour natural lighting, professional composition, hyperrealistic detail, masterpiece quality, 8K resolution."
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negative_prompt = "text, watermark, signature, cartoon, anime, illustration, painting, drawing, low quality, blurry"
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# 시드 설정
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seed = 42
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generator = torch.Generator(device=device).manual_seed(seed)
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# 이미지 생성
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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guidance_scale=7.0,
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num_inference_steps=28,
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width=1024,
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height=1024,
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generator=generator,
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).images[0]
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# 이미지 저장
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image.save("generated_image.png")
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```
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