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