| import gradio as gr |
| import numpy as np |
| import random |
| import torch |
| from diffusers import DiffusionPipeline |
| import spaces |
|
|
| |
| dtype = torch.bfloat16 |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
|
|
| |
| 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 |
|
|
| |
| 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 |
| } |
| ] |
|
|
| |
| 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 = """ |
| .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( |
| """ |
| <div class="title">GINI Mockup</div> |
| <div class="subtitle">Generate elegant UI/UX wireframes or mockups with FLUX AI</div> |
| """) |
|
|
| with gr.Row(equal_height=True): |
| |
| 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, |
| ) |
| |
| |
| 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] |
| ) |
|
|
| |
| 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 |
| ) |
|
|