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Update app.py
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app.py
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import
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}
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.generate-btn:hover {
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background: rgb(67, 56, 202) !important;
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transform: translateY(-2px);
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transition: all 0.2s;
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}
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.container {
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max-width: 900px;
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margin: 0 auto;
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padding: 20px;
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}
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.tips {
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background: #f0f9ff;
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padding: 20px;
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border-radius: 10px;
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margin: 20px 0;
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border: 1px solid #bae6fd;
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}
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"""
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"A magical forest at twilight with glowing mushrooms, digital art style",
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"A futuristic cityscape with flying cars, neon lights, cyberpunk style",
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"A cozy cafe interior with steam rising from coffee cups, warm lighting",
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"An underwater scene with bioluminescent creatures, deep sea atmosphere",
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"A steampunk-inspired flying machine in the clouds, vintage style"
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]
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def generate_image(prompt):
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# This is where you'd integrate with the Black Forest Labs model
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# For now, we'll just create an iframe to their space
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iframe_html = f'<iframe src="https://black-forest-labs-flux-1-dev.hf.space" frameborder="0" width="100%" height="450"></iframe>'
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return iframe_html
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# Create the Gradio interface
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with gr.Blocks(css=custom_css) as demo:
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gr.HTML("<div class='container'>")
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gr.HTML("""
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<header style="text-align: center; margin-bottom: 2rem;">
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<h1 style="font-size: 2.5rem; color: rgb(99, 102, 241); margin-bottom: 1rem;">
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AI Image Generator
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</h1>
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<p style="color: #6b7280; font-size: 1.1rem;">
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Create amazing AI-generated images with Stable Diffusion
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</p>
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<p style="color: #6b7280;">
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Powered by Black Forest Labs
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</p>
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</header>
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""")
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with gr.Column():
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# Add example prompts dropdown
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prompt_dropdown = gr.Dropdown(
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choices=example_prompts,
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label="Example Prompts (Click to use)",
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info="Select a prompt to try out"
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)
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# Text input for the prompt
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prompt_input = gr.Textbox(
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label="Enter your prompt",
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placeholder="Describe the image you want to generate...",
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lines=3
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)
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# Generate button
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generate_btn = gr.Button("Generate Image", elem_classes=["generate-btn"])
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# Output area for the iframe
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output = gr.HTML()
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# Tips section
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gr.HTML("""
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<div class="tips">
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<h2 style="font-size: 1.25rem; color: #0369a1; margin-bottom: 1rem;">
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Tips for Best Results
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</h2>
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<ul style="list-style-type: disc; padding-left: 1.5rem; color: #0c4a6e;">
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<li>Be specific in your descriptions - include details about style, mood, and composition</li>
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<li>Try adding artistic styles like "oil painting", "watercolor", or "digital art"</li>
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<li>Include lighting descriptions like "sunset", "studio lighting", or "moonlight"</li>
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<li>Experiment with different perspectives: "close-up", "aerial view", or "wide angle"</li>
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<li>Add quality enhancers like "highly detailed", "4K", or "professional photography"</li>
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</ul>
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</div>
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""")
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gr.HTML("</div>")
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# Set up event handlers
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prompt_dropdown.change(
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lambda x: x,
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inputs=prompt_dropdown,
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outputs=prompt_input
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)
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generate_btn.click(
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generate_image,
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inputs=prompt_input,
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outputs=output
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)
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# Launch the app
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demo.launch()
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```
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import { Client } from "@gradio/client";
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const client = await Client.connect("black-forest-labs/FLUX.1-dev");
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const result = await client.predict("/infer", {
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prompt: "Hello!!",
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seed: 0,
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randomize_seed: true,
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width: 256,
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height: 256,
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guidance_scale: 1,
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num_inference_steps: 1,
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});
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console.log(result.data); usse this instead
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```
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