Update app.py
Browse files
app.py
CHANGED
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@@ -5,7 +5,7 @@ import os
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from compel import Compel, ReturnedEmbeddingsType
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from diffusers import DiffusionPipeline
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-
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model_name = os.environ.get('MODEL_NAME', 'UnfilteredAI/NSFW-gen-v2')
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pipe = DiffusionPipeline.from_pretrained(
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model_name,
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@@ -13,19 +13,34 @@ pipe = DiffusionPipeline.from_pretrained(
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)
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pipe.to('cuda')
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compel = Compel(
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tokenizer=[pipe.tokenizer, pipe.tokenizer_2]
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text_encoder=[pipe.text_encoder, pipe.text_encoder_2],
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returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED,
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requires_pooled=[False, True]
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)
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@spaces.GPU(duration=120)
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def generate(prompt, negative_prompt, num_inference_steps, guidance_scale, width, height, num_samples):
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embeds, pooled = compel(prompt)
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neg_embeds, neg_pooled = compel(negative_prompt)
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prompt_embeds=embeds,
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pooled_prompt_embeds=pooled,
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negative_prompt_embeds=neg_embeds,
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@@ -34,20 +49,116 @@ def generate(prompt, negative_prompt, num_inference_steps, guidance_scale, width
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guidance_scale=guidance_scale,
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width=width,
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height=height,
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num_images_per_prompt=num_samples
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).images
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fn=generate,
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inputs=[
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gr.Text(label="Prompt"),
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gr.Text("(low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn, (deformed | distorted | disfigured:1.3), bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers:1.4, disconnected limbs, blurry, amputation.", label="Negative Prompt"),
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gr.Number(60, label="Number inference steps"),
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gr.Number(7, label="Guidance scale"),
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gr.Number(1024, label="Width"),
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gr.Number(1024, label="Height"),
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gr.Number(7, label="# images"),
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],
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outputs=gr.Gallery(),
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).launch()
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from compel import Compel, ReturnedEmbeddingsType
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from diffusers import DiffusionPipeline
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# 모델 로드
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model_name = os.environ.get('MODEL_NAME', 'UnfilteredAI/NSFW-gen-v2')
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pipe = DiffusionPipeline.from_pretrained(
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model_name,
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)
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pipe.to('cuda')
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# Compel 설정
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compel = Compel(
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tokenizer=[pipe.tokenizer, pipe.tokenizer_2],
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text_encoder=[pipe.text_encoder, pipe.text_encoder_2],
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returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED,
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requires_pooled=[False, True]
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)
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# 기본 네거티브 프롬프트
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default_negative_prompt = "(low quality, worst quality:1.2), very displeasing, 3d, watermark, signature, ugly, poorly drawn, (deformed | distorted | disfigured:1.3), bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers:1.4, disconnected limbs, blurry, amputation."
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# 예제 프롬프트 목록
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example_prompts = [
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["a beautiful woman in a summer dress at the beach, golden sunset, professional photography, 8k", default_negative_prompt, 40, 7.5, 1024, 1024, 4],
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["portrait of a cyberpunk character, highly detailed, neon lights, futuristic cityscape in background, 8k, ultra realistic", default_negative_prompt, 50, 8.0, 768, 1024, 4],
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["detailed fantasy art of magical forest with fairies, ethereal lighting, mystical atmosphere", default_negative_prompt, 60, 7.0, 1024, 768, 4],
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["photorealistic portrait of a stunning model, studio lighting, fashion photography", default_negative_prompt, 45, 7.0, 1024, 1024, 4],
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]
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# 이미지 생성 함수
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@spaces.GPU(duration=120)
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def generate(prompt, negative_prompt, num_inference_steps, guidance_scale, width, height, num_samples, progress=gr.Progress()):
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progress(0, desc="Preparing")
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embeds, pooled = compel(prompt)
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neg_embeds, neg_pooled = compel(negative_prompt)
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progress(0.1, desc="Generating images")
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images = pipe(
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prompt_embeds=embeds,
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pooled_prompt_embeds=pooled,
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negative_prompt_embeds=neg_embeds,
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guidance_scale=guidance_scale,
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width=width,
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height=height,
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num_images_per_prompt=num_samples,
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callback=lambda i, t, latents: progress((i + 1) / num_inference_steps)
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).images
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return images
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# CSS 스타일
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css = """
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.gallery-item {
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transition: transform 0.2s;
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box-shadow: 0 4px 8px rgba(0,0,0,0.1);
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border-radius: 10px;
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}
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.gallery-item:hover {
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transform: scale(1.03);
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box-shadow: 0 8px 16px rgba(0,0,0,0.2);
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}
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.container {
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max-width: 1200px;
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margin: auto;
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}
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.header {
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text-align: center;
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margin-bottom: 2rem;
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padding: 1rem;
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background: linear-gradient(90deg, rgba(76,0,161,0.8) 0%, rgba(28,110,164,0.8) 100%);
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border-radius: 10px;
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color: white;
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}
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.slider-container {
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background-color: #f5f5f5;
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padding: 1rem;
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border-radius: 10px;
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margin-bottom: 1rem;
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}
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.prompt-container {
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background-color: #f0f8ff;
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padding: 1rem;
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border-radius: 10px;
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margin-bottom: 1rem;
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border: 1px solid #d0e8ff;
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}
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.examples-header {
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background: linear-gradient(90deg, rgba(41,128,185,0.7) 0%, rgba(142,68,173,0.7) 100%);
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color: white;
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padding: 0.5rem;
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border-radius: 8px;
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text-align: center;
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margin-bottom: 0.5rem;
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}
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"""
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# Gradio 인터페이스
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with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
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gr.HTML("""
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<div class="header">
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<h1>🎨 UnfilteredAI NSFW-gen-v2 이미지 생성기</h1>
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<p>창의적인 프롬프트를 입력하고 고품질 이미지를 생성해보세요.</p>
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</div>
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""")
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with gr.Row():
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with gr.Column(scale=2):
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with gr.Group(elem_classes="prompt-container"):
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prompt = gr.Textbox(label="프롬프트", placeholder="원하는 이미지를 설명해주세요...", lines=3)
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negative_prompt = gr.Textbox(
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label="네거티브 프롬프트",
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value=default_negative_prompt,
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lines=3
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)
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with gr.Group(elem_classes="slider-container"):
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with gr.Row():
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with gr.Column():
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steps = gr.Slider(minimum=20, maximum=100, value=60, step=1, label="추론 단계 (Quality)", info="높을수록 품질 향상 (시간 증가)")
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guidance = gr.Slider(minimum=1, maximum=15, value=7, step=0.1, label="가이던스 스케일 (Creativity)", info="낮을수록 더 창의적인 결과")
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with gr.Column():
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with gr.Row():
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width = gr.Slider(minimum=512, maximum=1536, value=1024, step=128, label="너비")
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height = gr.Slider(minimum=512, maximum=1536, value=1024, step=128, label="높이")
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num_samples = gr.Slider(minimum=1, maximum=8, value=4, step=1, label="생성할 이미지 수", info="한 번에 생성할 이미지 수")
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generate_btn = gr.Button("🚀 이미지 생성", variant="primary", size="lg")
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with gr.Column(scale=3):
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output_gallery = gr.Gallery(label="생성된 이미지", elem_classes="gallery-item", columns=2, object_fit="contain", height=650)
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gr.HTML("""<div class="examples-header"><h3>✨ 예제 프롬프트</h3></div>""")
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gr.Examples(
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examples=example_prompts,
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inputs=[prompt, negative_prompt, steps, guidance, width, height, num_samples],
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outputs=output_gallery,
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fn=generate,
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cache_examples=True,
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)
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# 이벤트 연결
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generate_btn.click(
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fn=generate,
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inputs=[prompt, negative_prompt, steps, guidance, width, height, num_samples],
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outputs=output_gallery
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)
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gr.HTML("""
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<div style="text-align: center; margin-top: 20px; padding: 10px; background-color: #f0f0f0; border-radius: 10px;">
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<p>💡 팁: 고품질 이미지를 위해서는 세부적인 프롬프트와 더 높은 추론 단계를 사용하세요.</p>
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<p>예) "professional photography, 8k, highly detailed, sharp focus, HDR" 등의 품질 관련 용어를 추가해보세요.</p>
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</div>
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""")
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demo.launch()
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