Update app.py
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app.py
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import gradio as gr
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import
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import random
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from PIL import Image
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from diffusers import StableDiffusionXLPipeline
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import torch
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import gc
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model_repo_id = "stabilityai/sdxl-turbo"
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}
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def update_resolution(aspect_ratio):
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if aspect_ratio == "1:1 (512x512)":
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return 512, 512
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elif aspect_ratio == "4:3 (512x384)":
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return 512, 384
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elif aspect_ratio == "3:4 (384x512)":
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return 384, 512
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elif aspect_ratio == "16:9 (512x288)":
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return 512, 288
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return 512, 512
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def infer(
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prompt,
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negative_prompt,
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seed,
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randomize_seed,
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width,
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height,
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guidance_scale,
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num_inference_steps,
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style_selection,
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auto_enhance
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):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device=device).manual_seed(seed)
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# Apply style and auto-enhancement
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final_prompt = STYLE_TEMPLATES.get(style_selection, "{prompt}").format(prompt=prompt)
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if auto_enhance:
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final_prompt += ", professional lighting, high resolution, intricate details"
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try:
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image = pipe(
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prompt=final_prompt,
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negative_prompt=negative_prompt,
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guidance_scale=guidance_scale,
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num_inference_steps=num_inference_steps,
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width=width,
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height=height,
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generator=generator,
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).images[0]
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except Exception as e:
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print(f"Inference Error: {e}")
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return None, seed
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finally:
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gc.collect()
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return image, seed
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# UI Styling
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custom_css = """
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body, .gradio-container { background-color: #0b0b0b !important; color: #ff0000 !important; }
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button.primary { background: linear-gradient(90deg, #8b0000, #ff0000) !important; color: white !important; border: none !important; }
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footer { visibility: hidden; }
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.tabs, .accordion, .input-container { border: 1px solid #440000 !important; }
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"""
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with gr.Row():
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aspect_ratio = gr.Radio(
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choices=["1:1 (512x512)", "4:3 (512x384)", "3:4 (384x512)", "16:9 (512x288)"],
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value="1:1 (512x512)",
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label="Quick Aspect Ratio"
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)
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with gr.Row():
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width = gr.Slider(label="Width", minimum=256, maximum=512, step=64, value=512)
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height = gr.Slider(label="Height", minimum=256, maximum=512, step=64, value=512)
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with gr.Row():
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guidance_scale = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=5.0, step=0.1, value=1.0)
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num_inference_steps = gr.Slider(label="Steps", minimum=1, maximum=20, step=1, value=8)
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with gr.Row():
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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run_button.click(
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fn=infer,
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inputs=[
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prompt, negative_prompt, seed, randomize_seed,
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width, height, guidance_scale, num_inference_steps,
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style_selection, auto_enhance
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],
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outputs=[result, seed_display],
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)
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import gradio as gr
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import os
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URL_EDITOR = "https://selfit-camera-omni-image-editor.hf.space/?__theme=dark"
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URL_VIDEO = "https://frameai4687-omni-video-factory.hf.space/?__theme=dark"
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css = """
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.gradio-container {
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max-width: 100% !important;
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padding: 0 !important;
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background-color: #0b0f19 !important;
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}
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#status-bar {
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background: linear-gradient(90deg, #1e293b 0%, #0f172a 100%);
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color: #38bdf8;
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padding: 10px;
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font-weight: bold;
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border-bottom: 2px solid #38bdf8;
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text-align: center;
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font-size: 1em;
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/* รองรับพื้นที่ปลอดภัยสำหรับมือถือที่มีติ่งหน้าจอ */
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padding-top: env(safe-area-inset-top, 10px);
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}
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iframe {
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width: 100%;
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height: 85vh;
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border: none;
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}
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/* ปรับแต่งสำหรับหน้าจอขนาดเล็ก (Mobile) */
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@media (max-width: 768px) {
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#status-bar { font-size: 0.8em; }
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iframe { height: 80vh; }
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.tabs button { font-size: 0.7em !important; padding: 5px !important; }
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}
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"""
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js_func = """
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function() {
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const tabs = document.querySelectorAll('.tabs button');
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const statusBar = document.querySelector('#status-bar span');
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if(tabs && statusBar) {
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tabs.forEach(tab => {
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tab.addEventListener('click', () => {
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statusBar.innerText = tab.innerText.toUpperCase();
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});
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});
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}
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}
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"""
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with gr.Blocks(css=css, title="Omni Studio Pro", js=js_func) as demo:
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gr.HTML('<div id="status-bar">SYSTEM ACTIVE: <span>🎨 OMNI IMAGE EDITOR</span></div>')
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with gr.Tabs() as tabs:
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with gr.Tab("🎨 Omni Image Editor"):
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gr.HTML(f'<iframe src="{URL_EDITOR}" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>')
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with gr.Tab("🎬 Omni Video Factory"):
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gr.HTML(f'<iframe src="{URL_VIDEO}" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>')
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=int(os.getenv("PORT", "7860")))
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