import gradio as gr import numpy as np import random import torch from diffusers import DiffusionPipeline import spaces # Basic settings dtype = torch.bfloat16 device = "cuda" if torch.cuda.is_available() else "cpu" # Load model (FLUX.1-schnell) 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 @spaces.GPU() def generate_image(prompt, seed, randomize_seed, width, height, steps, guidance_scale): if randomize_seed: seed = random.randint(0, MAX_SEED) generator = torch.Generator(device).manual_seed(seed) image = pipe( prompt=prompt, width=width, height=height, num_inference_steps=steps, generator=generator, guidance_scale=guidance_scale ).images[0] return image, seed def set_prompt(example_text): return example_text # Updated example prompts per tab with richer details: example_prompts = { "Product Design": [ """A sleek industrial design concept for a coffee machine: - Curved metallic body with minimal bezel - Touchscreen panel for settings - Modern matte black finish - Hand-drawn concept sketch style""" ], "Mindmap": [ """A handrawn colorful mind map diagram, educational style, vibrant colors, clear hierarchy, golden ratio layout. KNOWLEDGE ├── ACQUISITION [Brain with Lightning ~60px] │ ├── READING [Open Book with Glow] │ ├── PRACTICE [Hands-on Tools] │ └── OBSERVATION [Eye with Magnifier] ├── PROCESSING [Gear Network ~50px] │ ├── ANALYSIS [Graph Trending Up] │ └── SYNTHESIS [Puzzle Pieces] ├── RETENTION [Memory Chip ~45px] │ ├── SHORT-TERM [Quick Flash] │ └── LONG-TERM [Solid Archive] └── APPLICATION ├── CREATION [Artist Palette] └── INNOVATION [Lightbulb Constellation]""" ], "Mockup": [ """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)""" ], "Infographic": [ """A sophisticated flat-style infographic for a multinational corporation’s annual report: - Title: "Global Renewable Energy Trends 2025" - Subtitle: "Market Share and Growth Analysis" - Visual Elements: - Multi-segmented bar charts comparing Solar, Wind, and Hydro energy production across regions - Pie chart displaying overall energy distribution: Solar (45%), Wind (30%), Hydro (25%) - Trend lines indicating year-over-year growth - Icons: Sleek, minimalist representations of a sun, wind turbine, and water droplet - Layout: Clean, grid-based design with ample white space and pastel accents for a modern corporate look - Annotations: Brief, impactful data callouts highlighting key performance indicators and future forecasts""" ], "Diagram": [ """A detailed hand-drawn diagram illustrating an end-to-end business workflow: - Title: "Integrated Business Process Diagram" - Components: - Market Analysis: Research phase with data charts and competitor mapping - Strategy Development: Ideation stage with brainstorming clouds and key focus areas - Product Design: Concept sketches with iterative feedback loops - Implementation: Process flow with timeline markers and resource allocation icons - Post-Launch Review: Feedback, metrics, and continuous improvement cycles - Visual Elements: - Clear, directional arrows connecting each phase - Iconography for each component (e.g., magnifying glass, lightbulb, gear, checklist) - Style: Vibrant, educational yet professional, balancing detailed annotations with visual simplicity - Layout: Structured with a clear hierarchy and color-coded sections to differentiate process stages""" ], "Flowchart": [ """A hand-drawn style flowchart, vibrant colors, minimalistic icons. BUSINESS WORKFLOW ├── START [Green Button ~40px] │ ├── COLLECT REQUIREMENTS [Folder Icon] │ └── ANALYZE DATA [Chart Icon] ├── IMPLEMENTATION [Coding Symbol ~50px] │ ├── FRONTEND [Browser Icon] │ └── BACKEND [Server Icon] ├── TEST & INTEGRATION [Gear Icon ~45px] └── DEPLOY └── END [Checkered Flag ~40px]""" ] } # CSS style: fixed container width and preventing examples from expanding the layout css = """ * { box-sizing: border-box; } body { background: linear-gradient(135deg, #667eea, #764ba2); font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; color: #333; margin: 0; padding: 0; } .gradio-container { background: rgba(255, 255, 255, 0.95); border-radius: 15px; padding: 30px 40px; box-shadow: 0 8px 30px rgba(0, 0, 0, 0.3); margin: 40px auto; width: 1200px; } .sidebar { background: rgba(255, 255, 255, 0.98); border-radius: 10px; padding: 20px; box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2); } button, .btn { background: linear-gradient(90deg, #ff8a00, #e52e71); border: none; color: #fff; padding: 12px 24px; text-transform: uppercase; font-weight: bold; letter-spacing: 1px; border-radius: 5px; cursor: pointer; transition: transform 0.2s ease-in-out; } button:hover, .btn:hover { transform: scale(1.05); } .example-accordion { width: 100% !important; max-width: 100% !important; } .example-accordion button { width: auto !important; white-space: normal !important; } """ with gr.Blocks(css=css, title="Workflow Canvas") as demo: gr.Markdown( """

Workflow Canvas

Generate design concepts and workflow diagrams for your business needs using our multi-tab interface.

community: https://discord.gg/openfreeai

""" ) gr.HTML( """ Visitor Badge """ ) with gr.Row(): # Left sidebar: Common generation parameters with gr.Sidebar(label="Parameters", open=True): gr.Markdown("### Generation Parameters") seed_slider = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=42) randomize_seed = gr.Checkbox(label="Randomize Seed", value=True) width_slider = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024) height_slider = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024) steps_slider = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=20) guidance_slider = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=15.0, step=0.5, value=7.5) # Main area: Tabbed interface with updated tab order: # 1: Product Design, 2: Mindmap, 3: Mockup, 4: Infographic, 5: Diagram, 6: Flowchart with gr.Column(scale=8): with gr.Tabs(): # Tab 1: Product Design with gr.Tab("Product Design"): pd_prompt = gr.Textbox( label="Product Design Prompt", placeholder="Enter a product design concept...", lines=5, value=example_prompts["Product Design"][0] ) pd_generate = gr.Button("Generate Product Design") pd_image = gr.Image(label="Generated Product Design", value="w1.webp") with gr.Accordion("Example Prompts", open=True, elem_classes="example-accordion"): for ex in example_prompts["Product Design"]: gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=pd_prompt) # Tab 2: Mindmap with gr.Tab("Mindmap"): mindmap_prompt = gr.Textbox( label="Mindmap Prompt", placeholder="Enter a mind map description...", lines=5, value=example_prompts["Mindmap"][0] ) mindmap_generate = gr.Button("Generate Mindmap") mindmap_image = gr.Image(label="Generated Mindmap", value="w6.webp") with gr.Accordion("Example Prompts", open=True, elem_classes="example-accordion"): for ex in example_prompts["Mindmap"]: gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=mindmap_prompt) # Tab 3: Mockup with gr.Tab("Mockup"): mock_prompt = gr.Textbox( label="Mockup Prompt", placeholder="Enter a mockup description...", lines=5, value=example_prompts["Mockup"][0] ) mock_generate = gr.Button("Generate Mockup") mock_image = gr.Image(label="Generated Mockup", value="w2.webp") with gr.Accordion("Example Prompts", open=True, elem_classes="example-accordion"): for ex in example_prompts["Mockup"]: gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=mock_prompt) # Tab 4: Infographic with gr.Tab("Infographic"): info_prompt = gr.Textbox( label="Infographic Prompt", placeholder="Enter an infographic description...", lines=5, value=example_prompts["Infographic"][0] ) info_generate = gr.Button("Generate Infographic") info_image = gr.Image(label="Generated Infographic", value="w3.webp") with gr.Accordion("Example Prompts", open=True, elem_classes="example-accordion"): for ex in example_prompts["Infographic"]: gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=info_prompt) # Tab 5: Diagram with gr.Tab("Diagram"): diag_prompt = gr.Textbox( label="Diagram Prompt", placeholder="Enter a diagram description...", lines=5, value=example_prompts["Diagram"][0] ) diag_generate = gr.Button("Generate Diagram") diag_image = gr.Image(label="Generated Diagram", value="w4.webp") with gr.Accordion("Example Prompts", open=True, elem_classes="example-accordion"): for ex in example_prompts["Diagram"]: gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=diag_prompt) # Tab 6: Flowchart with gr.Tab("Flowchart"): flow_prompt = gr.Textbox( label="Flowchart Prompt", placeholder="Enter a flowchart description...", lines=5, value=example_prompts["Flowchart"][0] ) flow_generate = gr.Button("Generate Flowchart") flow_image = gr.Image(label="Generated Flowchart", value="w5.webp") with gr.Accordion("Example Prompts", open=True, elem_classes="example-accordion"): for ex in example_prompts["Flowchart"]: gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=flow_prompt) # Bind events for generation buttons pd_generate.click( fn=generate_image, inputs=[pd_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider], outputs=[pd_image, seed_slider] ) mindmap_generate.click( fn=generate_image, inputs=[mindmap_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider], outputs=[mindmap_image, seed_slider] ) mock_generate.click( fn=generate_image, inputs=[mock_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider], outputs=[mock_image, seed_slider] ) info_generate.click( fn=generate_image, inputs=[info_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider], outputs=[info_image, seed_slider] ) diag_generate.click( fn=generate_image, inputs=[diag_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider], outputs=[diag_image, seed_slider] ) flow_generate.click( fn=generate_image, inputs=[flow_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider], outputs=[flow_image, seed_slider] ) if __name__ == "__main__": demo.queue() demo.launch( server_name="0.0.0.0", server_port=7860, share=False, show_error=True, debug=True )