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| import gradio as gr | |
| import time | |
| import random | |
| from PIL import Image | |
| import numpy as np | |
| # --- Custom CSS for Styling --- | |
| CUSTOM_CSS = """ | |
| :root { | |
| --primary: #6366f1; | |
| --primary-dark: #4f46e5; | |
| --secondary: #8b5cf6; | |
| --accent: #ec4899; | |
| --dark: #1e293b; | |
| --darker: #0f172a; | |
| --light: #f1f5f9; | |
| --lighter: #f8fafc; | |
| --text: #475569; | |
| --border: #e2e8f0; | |
| --success: #10b981; | |
| --warning: #f59e0b; | |
| --error: #ef4444; | |
| --gradient: linear-gradient(135deg, #667eea 0%, #764ba2 100%); | |
| --card-shadow: 0 10px 40px rgba(0, 0, 0, 0.1); | |
| } | |
| /* Apply background to the main Gradio container body */ | |
| .gradio-container { | |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif; | |
| background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); | |
| min-height: 100vh; | |
| color: var(--text); | |
| position: relative; | |
| padding: 0 !important; | |
| } | |
| /* Background pattern */ | |
| .gradio-container::before { | |
| content: ''; | |
| position: fixed; | |
| top: 0; | |
| left: 0; | |
| right: 0; | |
| bottom: 0; | |
| background: url('data:image/svg+xml,%3Csvg width="60" height="60" viewBox="0 0 60 60" xmlns="http://www.w3.org/2000/svg"%3E%3Cg fill="none" fill-rule="evenodd"%3E%3Cg fill="%23ffffff" fill-opacity="0.05"%3E%3Cpath d="M36 34v-4h-2v4h-4v2h4v4h2v-4h4v-2h-4zm0-30V0h-2v4h-4v2h4v4h2V6h4V4h-4zM6 34v-4H4v4H0v2h4v4h2v-4h4v-2H6zM6 4V0H4v4H0v2h4v4h2V6h4V4H6z"/%3E%3C/g%3E%3C/g%3E%3C/svg%3E'); | |
| pointer-events: none; | |
| z-index: 1; | |
| } | |
| #main-wrapper { | |
| max-width: 1400px; | |
| margin: 0 auto; | |
| padding: 2rem; | |
| position: relative; | |
| z-index: 2; | |
| } | |
| #custom-header { | |
| background: rgba(255, 255, 255, 0.95); | |
| backdrop-filter: blur(20px); | |
| border-radius: 20px; | |
| padding: 2rem; | |
| margin-bottom: 2rem; | |
| box-shadow: var(--card-shadow); | |
| animation: slideDown 0.5s ease-out; | |
| } | |
| .header-content { | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| flex-wrap: wrap; | |
| gap: 1rem; | |
| } | |
| .logo { | |
| display: flex; | |
| align-items: center; | |
| gap: 1rem; | |
| } | |
| .logo-icon { | |
| width: 50px; | |
| height: 50px; | |
| background: var(--gradient); | |
| border-radius: 12px; | |
| display: flex; | |
| align-items: center; | |
| justify-content: center; | |
| color: white; | |
| font-weight: bold; | |
| font-size: 1.5rem; | |
| } | |
| #main-title { | |
| font-size: 1.8rem; | |
| background: var(--gradient); | |
| -webkit-background-clip: text; | |
| -webkit-text-fill-color: transparent; | |
| background-clip: text; | |
| margin: 0; | |
| padding: 0; | |
| } | |
| .model-badge { | |
| background: linear-gradient(135deg, var(--primary), var(--secondary)); | |
| color: white; | |
| padding: 0.5rem 1rem; | |
| border-radius: 20px; | |
| font-size: 0.9rem; | |
| font-weight: 500; | |
| } | |
| #control-panel { | |
| background: rgba(255, 255, 255, 0.95); | |
| backdrop-filter: blur(20px); | |
| border-radius: 20px; | |
| padding: 2rem; | |
| box-shadow: var(--card-shadow); | |
| animation: slideUp 0.5s ease-out; | |
| min-width: 300px; | |
| } | |
| #images-panel { | |
| background: rgba(255, 255, 255, 0.95); | |
| backdrop-filter: blur(20px); | |
| border-radius: 20px; | |
| padding: 2rem; | |
| box-shadow: var(--card-shadow); | |
| animation: slideUp 0.5s ease-out 0.1s both; | |
| } | |
| /* Target Gradio components for styling */ | |
| #prompt-box textarea { | |
| min-height: 80px !important; | |
| } | |
| #prompt-box textarea, #negative-prompt-box textarea { | |
| padding: 1rem !important; | |
| border-radius: 12px !important; | |
| font-size: 1rem !important; | |
| } | |
| #prompt-box textarea:focus { | |
| border-color: var(--primary) !important; | |
| box-shadow: 0 0 0 3px rgba(99, 102, 241, 0.1) !important; | |
| } | |
| #negative-prompt-box textarea { | |
| background: var(--lighter) !important; | |
| } | |
| #negative-prompt-box textarea:focus { | |
| border-color: var(--error) !important; | |
| box-shadow: 0 0 0 3px rgba(239, 68, 68, 0.1) !important; | |
| } | |
| #generate-btn { | |
| padding: 1rem 2rem; | |
| background: var(--gradient) !important; | |
| color: white !important; | |
| border: none; | |
| border-radius: 12px !important; | |
| font-size: 1.1rem !important; | |
| font-weight: 600 !important; | |
| cursor: pointer; | |
| transition: all 0.3s ease; | |
| position: relative; | |
| overflow: hidden; | |
| min-height: 60px; | |
| } | |
| #generate-btn:hover { | |
| transform: translateY(-2px); | |
| box-shadow: 0 10px 30px rgba(99, 102, 241, 0.3) !important; | |
| } | |
| .panel-header { | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| margin-bottom: 1.5rem; | |
| } | |
| .panel-title { | |
| font-size: 1.3rem; | |
| font-weight: 600; | |
| color: var(--dark); | |
| } | |
| .image-count { | |
| background: var(--light); | |
| padding: 0.5rem 1rem; | |
| border-radius: 20px; | |
| font-size: 0.9rem; | |
| color: var(--dark); | |
| font-weight: 600; | |
| } | |
| /* Gallery styling */ | |
| #imagesGrid .gallery-item { | |
| border-radius: 16px !important; | |
| overflow: hidden; | |
| transition: all 0.3s ease; | |
| box-shadow: 0 5px 15px rgba(0, 0, 0, 0.05); | |
| } | |
| #imagesGrid .gallery-item:hover { | |
| transform: scale(1.02); | |
| box-shadow: 0 10px 30px rgba(0, 0, 0, 0.15); | |
| } | |
| @keyframes slideDown { | |
| from { opacity: 0; transform: translateY(-30px); } | |
| to { opacity: 1; transform: translateY(0); } | |
| } | |
| @keyframes slideUp { | |
| from { opacity: 0; transform: translateY(30px); } | |
| to { opacity: 1; transform: translateY(0); } | |
| } | |
| @media (max-width: 1024px) { | |
| #main-wrapper { | |
| padding: 1rem; | |
| } | |
| .main-content-row { | |
| flex-direction: column; | |
| } | |
| #control-panel { | |
| min-width: unset; | |
| } | |
| } | |
| """ | |
| # HTML for the custom header/logo section | |
| HEADER_HTML = """ | |
| <div id="custom-header"> | |
| <div class="header-content"> | |
| <div class="logo"> | |
| <div class="logo-icon">SDXL</div> | |
| <div> | |
| <h1 id="main-title">Stable Diffusion XL Demo</h1> | |
| <p style="color: var(--text); font-size: 0.9rem; margin: 0;">Advanced Image Generation AI</p> | |
| <p style="margin-top: 5px; font-size: 0.9rem;"> | |
| Built with <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="color: var(--primary); text-decoration: none; font-weight: 600;">anycoder</a> | |
| </p> | |
| </div> | |
| </div> | |
| <div class="model-badge"> | |
| stabilityai/stable-diffusion-xl-base-1.0 | |
| </div> | |
| </div> | |
| </div> | |
| """ | |
| # --- Mock Functionality --- | |
| def generate_dummy_image(seed): | |
| """Generates a unique, colorful 512x512 PIL image to simulate output.""" | |
| np.random.seed(int(seed) % 1000) | |
| size = 512 | |
| img_data = np.random.rand(size, size, 3) * 255 | |
| # Add some pattern based on the seed | |
| color_shift = np.random.randint(0, 255, 3) | |
| img_data = (img_data + color_shift) % 255 | |
| # Simple radial gradient effect | |
| y, x = np.ogrid[-size/2:size/2, -size/2:size/2] | |
| r = np.sqrt(x*x + y*y) | |
| r_max = np.max(r) | |
| r_norm = r / r_max | |
| for i in range(3): | |
| img_data[:, :, i] = img_data[:, :, i] * (1 - r_norm * 0.5) + 255 * r_norm * (i/3) | |
| return Image.fromarray(img_data.astype(np.uint8)) | |
| def generate_images(prompt: str, negative_prompt: str, total_count: int): | |
| """ | |
| Simulates SDXL image generation, streaming progress updates. | |
| Yields intermediate states for loading visualization. | |
| """ | |
| if not prompt or prompt.strip() == "": | |
| prompt = "A majestic random scene, vibrant colors, fantasy art, volumetric light" | |
| # 1. Immediate state update: disable button and start progress indicator | |
| yield { | |
| image_count_display: gr.Markdown(value='<span class="image-count">Generating...</span>'), | |
| generate_btn: gr.Button(interactive=False, value="Generating..."), | |
| } | |
| # 2. Simulate generation time with progress streaming | |
| num_steps = 20 | |
| for i in range(num_steps): | |
| time.sleep(0.05 + random.random() * 0.05) | |
| progress_text = f"Generating... Step {i+1}/{num_steps} ({(i+1)/num_steps*100:.0f}%)" | |
| yield { | |
| image_count_display: gr.Markdown(value=f'<span class="image-count">{progress_text}</span>') | |
| } | |
| # 3. Final Output Generation (4 images) | |
| images = [] | |
| for i in range(4): | |
| seed = time.time() + i + random.random() | |
| img = generate_dummy_image(seed) | |
| caption = f"Prompt: {prompt[:45]}..." | |
| if negative_prompt and negative_prompt.strip(): | |
| caption += f" [No: {negative_prompt[:20]}...]" | |
| images.append((img, caption)) | |
| new_total = total_count + 4 | |
| # 4. Return the final state updates | |
| return { | |
| output_gallery: images, | |
| image_count_display: gr.Markdown(f'<span class="image-count">**{new_total} images** generated in total.</span>'), | |
| total_count: new_total, | |
| generate_btn: gr.Button(interactive=True, value="Generate 4 Images") | |
| } | |
| # --- Gradio Application Definition --- | |
| with gr.Blocks( | |
| title="SDXL Image Generator", | |
| css=CUSTOM_CSS, | |
| theme=gr.themes.Soft(), | |
| fill_height=True | |
| ) as demo: | |
| # State to keep track of total generated images | |
| total_count = gr.State(value=0) | |
| # Custom Header (containing the required attribution) | |
| gr.HTML(HEADER_HTML) | |
| with gr.Row(elem_id="main-wrapper", elem_classes=["main-content-row"]): | |
| # --- Control Panel (Left Column) --- | |
| with gr.Column(scale=1, elem_id="control-panel"): | |
| gr.Markdown("## ⚙️ Generation Settings", container=False) | |
| # Prompt Input | |
| prompt_input = gr.Textbox( | |
| label="Prompt", |