import gradio as gr import numpy as np import random import torch from diffusers import DiffusionPipeline import spaces # 기본 설정 dtype = torch.bfloat16 device = "cuda" if torch.cuda.is_available() else "cpu" # 모델 로드 pipe = DiffusionPipeline.from_pretrained( "black-forest-labs/FLUX.1-schnell", torch_dtype=dtype ).to(device) MAX_SEED = np.iinfo(np.int32).max MAX_IMAGE_SIZE = 2048 # UI/UX 목업 예시들 EXAMPLES = [ { "title": "Mobile App Wireframe", "prompt": """A clean hand-drawn style wireframe for a mobile banking app: - Title screen with logo - Login screen (username, password, login button) - Dashboard with 3 main sections (balance, transactions, quick actions) - Bottom navigation bar (home, transfers, profile)""", "width": 1024, "height": 1024 }, { "title": "E-commerce Website Mockup", "prompt": """A sketch-style mockup for an online store homepage: - Header with logo, search bar, cart icon - Featured banner at the top - Product grid with 4 columns, product images, and prices - Minimal color palette, wireframe lines""", "width": 1024, "height": 1024 }, { "title": "Blog Layout Wireframe", "prompt": """A hand-drawn wireframe for a personal blog site: - Top nav with logo, About, Contact - Main section with blog post previews (title, short excerpt, read more) - Right sidebar with categories and recent posts - Footer with social media icons""", "width": 1024, "height": 1024 }, { "title": "Dashboard Interface Mockup", "prompt": """A pencil-drawn style mockup of an analytics dashboard: - Top bar with logo and user avatar - Left sidebar menu (Overview, Reports, Settings) - Main area with charts: bar chart, line chart, pie chart - Soft grayscale color scheme""", "width": 1024, "height": 1024 }, { "title": "Social Media App Wireframe", "prompt": """A simple wireframe for a social media mobile app: - Feed of posts (user avatar, text, image thumbnail, like/share buttons) - Top bar with camera icon, app logo - Bottom bar with Home, Search, Notifications, Profile - Light doodle style""", "width": 1024, "height": 1024 } ] # Convert examples to Gradio format (if needed) GRADIO_EXAMPLES = [ [example["prompt"], example["width"], example["height"]] for example in EXAMPLES ] @spaces.GPU() def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)): if randomize_seed: seed = random.randint(0, MAX_SEED) generator = torch.Generator().manual_seed(seed) image = pipe( prompt=prompt, width=width, height=height, num_inference_steps=num_inference_steps, generator=generator, guidance_scale=0.0 ).images[0] return image, seed # CSS 스타일 (기존 구조 유지) css = """ .container { display: flex; flex-direction: row; height: 100%; } .input-column { flex: 1; padding: 20px; border-right: 2px solid #eee; max-width: 800px; } .examples-column { flex: 1; padding: 20px; overflow-y: auto; background: #f7f7f7; } .title { text-align: center; color: #2a2a2a; padding: 20px; font-size: 2.5em; font-weight: bold; background: linear-gradient(90deg, #f0f0f0 0%, #ffffff 100%); border-bottom: 3px solid #ddd; margin-bottom: 30px; } .subtitle { text-align: center; color: #666; margin-bottom: 30px; } .input-box { background: white; padding: 20px; border-radius: 10px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); margin-bottom: 20px; width: 100%; } .input-box textarea { width: 100% !important; min-width: 600px !important; font-size: 14px !important; line-height: 1.5 !important; padding: 12px !important; } .example-card { background: white; padding: 15px; margin: 10px 0; border-radius: 8px; box-shadow: 0 2px 5px rgba(0,0,0,0.05); } .example-title { font-weight: bold; color: #2a2a2a; margin-bottom: 10px; } .contain { max-width: 1400px !important; margin: 0 auto !important; } .input-area { flex: 2 !important; } .examples-area { flex: 1 !important; } """ with gr.Blocks(css=css) as demo: gr.Markdown( """
GINI Mockup
Generate elegant UI/UX wireframes or mockups with FLUX AI
""") with gr.Row(equal_height=True): # 왼쪽 입력 컬럼 with gr.Column(elem_id="input-column", scale=2): with gr.Group(elem_classes="input-box"): prompt = gr.Text( label="Mockup Prompt", placeholder="Enter your UI/UX wireframe or mockup details...", lines=10, elem_classes="prompt-input" ) run_button = gr.Button("Generate Mockup", variant="primary") result = gr.Image(label="Generated Mockup") with gr.Accordion("Advanced Settings", open=False): seed = gr.Slider( label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, ) randomize_seed = gr.Checkbox(label="Randomize seed", value=True) with gr.Row(): width = gr.Slider( label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, ) height = gr.Slider( label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024, ) num_inference_steps = gr.Slider( label="Number of inference steps", minimum=1, maximum=50, step=1, value=4, ) # 오른쪽 예제 컬럼 with gr.Column(elem_id="examples-column", scale=1): gr.Markdown("### Example Mockups") for example in EXAMPLES: with gr.Group(elem_classes="example-card"): gr.Markdown(f"#### {example['title']}") gr.Markdown(f"```\n{example['prompt']}\n```") def create_example_handler(ex): def handler(): return { prompt: ex["prompt"], width: ex["width"], height: ex["height"] } return handler gr.Button("Use This Example", size="sm").click( fn=create_example_handler(example), outputs=[prompt, width, height] ) # 이벤트 바인딩 (버튼 클릭 & 텍스트박스 엔터) gr.on( triggers=[run_button.click, prompt.submit], fn=infer, inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps], outputs=[result, seed] ) if __name__ == "__main__": demo.queue() demo.launch( server_name="0.0.0.0", server_port=7860, share=False, show_error=True, debug=True )