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app.py
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import os
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import io
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import random
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import gradio as gr
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from huggingface_hub import InferenceClient
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from PIL import Image
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# --- Configuration -----------------------------------------------------------
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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client = InferenceClient(model=MODEL_ID, token=HF_TOKEN)
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# Dark theme colors
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BG_COLOR = "#0A0F1A"
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ACCENT = "#1FE0E6"
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# Aspect ratio -> (width, height)
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ASPECT_RATIOS = {
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"9:16 (Phone)": (720, 1280),
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"1:1 (Square)": (1024, 1024),
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"16:9 (Wide)": (1280, 720),
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}
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# Presets: name -> prompt
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PRESETS = {
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"UAE Sunset":
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}
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def generate_wallpaper(prompt, aspect, preset):
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"""Generate a wallpaper via FLUX.1-schnell."""
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# If a preset is selected, use its prompt (override user prompt if empty)
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if preset and preset in PRESETS:
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final_prompt = PRESETS[preset]
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elif prompt and prompt.strip():
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final_prompt = prompt.strip()
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else:
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final_prompt = PRESETS["UAE Sunset"]
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w, h = ASPECT_RATIOS.get(aspect, (
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try:
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# FLUX.1-schnell supports image generation via inference
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image = client.text_to_image(
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final_prompt,
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width=w,
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height=h,
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)
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# Ensure PIL Image
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if not isinstance(image, Image.Image):
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image = Image.open(
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return image, "✅ Wallpaper generated successfully!"
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except Exception as e:
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# Return a placeholder error image
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img = Image.new("RGB", (w, h), BG_COLOR)
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return img, f"❌ Error: {str(e)}"
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def download_image(img):
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"""Provide downloadable file path."""
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if img is None:
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return None
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path = os.path.join(os.getcwd(), "wallpaper_output.png")
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def pick_preset_prompt(preset_name):
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return PRESETS.get(preset_name, "")
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# --- UI -----------------------------------------------------------------------
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#
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"""
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with gr.Blocks(
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title="Dispatch AI Wallpaper Engine",
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theme=gr.themes.Base(
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primary_hue="cyan",
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neutral_hue="slate",
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font=("Inter", "
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),
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css=
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) as demo:
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gr.
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)
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with gr.Row():
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with gr.Column(scale=1):
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aspect_select = gr.Radio(
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list(ASPECT_RATIOS.keys()),
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label="Aspect Ratio",
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value="9:16 (Phone)",
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)
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preset_select = gr.Dropdown(
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list(PRESETS.keys()),
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value=None,
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info="Select a preset to auto-fill the prompt",
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)
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with gr.Column(scale=2):
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output_image = gr.Image(
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label="Generated Wallpaper",
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load_preset_btn.click(pick_preset_prompt, inputs=preset_select, outputs=prompt_input)
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generate_btn.click(
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generate_wallpaper,
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inputs=[prompt_input, aspect_select, preset_select],
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outputs=[output_image, status_box],
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)
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download_btn.click(download_image, inputs=output_image, outputs=download_file)
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gr.Markdown(
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"""
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<div
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</div>
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"""
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)
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if __name__ == "__main__":
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demo.launch()
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"""
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Dispatch AI — Wallpaper Engine
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Gradio app generating phone wallpapers with FLUX.1-schnell.
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Presets: UAE Sunset, Cyberpunk, Minimal Dark, Arabic Calligraphy + more.
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"""
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import os
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import io
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import gradio as gr
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from huggingface_hub import InferenceClient
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from PIL import Image, ImageDraw
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# --- Configuration -----------------------------------------------------------
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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client = InferenceClient(model=MODEL_ID, token=HF_TOKEN)
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BG_COLOR = "#0A0F1A"
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ACCENT = "#1FE0E6"
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# Aspect ratio -> (width, height)
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ASPECT_RATIOS = {
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"9:16 (Phone Wallpaper)": (720, 1280),
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"9:16 HD (Phone)": (1080, 1920),
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"1:1 (Square)": (1024, 1024),
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"16:9 (Wide)": (1280, 720),
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"4:5 (Portrait)": (1024, 1280),
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}
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# Presets: name -> (prompt, emoji)
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PRESETS = {
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"UAE Sunset": (
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"A breathtaking UAE desert sunset, golden sand dunes rolling under a vibrant orange and purple sky, "
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"silhouette of a lone camel walking, distant wind tower, cinematic lighting, ultra detailed, 4k wallpaper",
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"🏜️",
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),
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"Cyberpunk City": (
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"A neon-soaked cyberpunk city at night, towering skyscrapers with glowing cyan and magenta lights, "
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"flying cars, rain-slicked streets reflecting neon, blade runner aesthetic, ultra detailed wallpaper",
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"🌃",
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),
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"Minimal Dark": (
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"Minimalist dark abstract wallpaper, deep black background with subtle geometric cyan lines, "
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"smooth gradients, modern elegant design, 4k",
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"⬛",
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),
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"Arabic Calligraphy": (
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"Beautiful Arabic calligraphy art wallpaper, elegant flowing script in gold on dark textured background, "
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"intricate decorative borders, luxurious design, 4k",
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"✒️",
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),
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"Desert Stars": (
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"A serene Arabian desert at night under a sky full of stars, Milky Way galaxy visible, "
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"soft sand dunes in foreground, peaceful cosmic atmosphere, ultra detailed wallpaper",
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"🌌",
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),
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"Dubai Skyline": (
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"Dubai skyline at golden hour, Burj Khalifa towering above modern skyscrapers, warm sunlight, "
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"palm trees, luxury cars on Sheikh Zayed Road, cinematic, ultra detailed, 4k wallpaper",
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"🏙️",
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),
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"Ocean Waves": (
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"Tranquil ocean waves wallpaper, deep blue water with white foam, sunlight sparkling on the surface, "
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"minimalist calming aesthetic, top-down view, ultra detailed, 4k",
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"🌊",
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),
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"Mountain Peak": (
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"Majestic snow-capped mountain peak at dawn, alpine glow, dramatic clouds, pristine landscape, "
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"ultra detailed nature wallpaper, 4k",
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"🏔️",
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),
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"Abstract Neon": (
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"Abstract neon wallpaper, flowing liquid metal shapes in cyan and purple, dark background, "
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"futuristic 3D render, ultra sharp, 4k",
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"🎨",
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),
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"Falcon Majesty": (
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"A majestic falcon perched on a rock in the Arabian desert, piercing eyes, detailed feathers, "
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"warm sunset light, ultra detailed wildlife wallpaper, 4k",
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"🦅",
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),
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}
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def generate_wallpaper(prompt, aspect, preset, num_steps):
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"""Generate a wallpaper via FLUX.1-schnell."""
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if preset and preset in PRESETS:
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final_prompt = PRESETS[preset][0]
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elif prompt and prompt.strip():
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final_prompt = prompt.strip()
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else:
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final_prompt = PRESETS["UAE Sunset"][0]
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w, h = ASPECT_RATIOS.get(aspect, (720, 1280))
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steps = int(num_steps) if num_steps else 4
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try:
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image = client.text_to_image(
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final_prompt,
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width=w,
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height=h,
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num_inference_steps=steps,
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)
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if not isinstance(image, Image.Image):
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image = Image.open(io.BytesIO(image)) if hasattr(image, "read") else Image.open(image)
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return image, "✅ Wallpaper generated successfully!"
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except Exception as e:
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img = Image.new("RGB", (w, h), BG_COLOR)
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d = ImageDraw.Draw(img)
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d.text((w // 4, h // 2), f"Error: {str(e)[:60]}", fill=ACCENT)
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return img, f"❌ Error: {str(e)}"
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def download_image(img):
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if img is None:
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return None
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path = os.path.join(os.getcwd(), "wallpaper_output.png")
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def pick_preset_prompt(preset_name):
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return PRESETS.get(preset_name, ("", ""))[0]
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# --- UI -----------------------------------------------------------------------
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CSS = """
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#dispatch-header h1 {
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color: #FFFFFF; font-size: 2.2rem; margin: 0;
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background: linear-gradient(90deg, #1FE0E6 0%, #FFFFFF 60%);
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-webkit-background-clip: text; -webkit-text-fill-color: transparent;
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}
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#dispatch-header p { color: #1FE0E6; font-size: 1.05rem; margin: 6px 0 0 0; }
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.dispatch-footer { text-align: center; color: #8A8F9C; font-size: 0.9rem; padding-top: 8px; }
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"""
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with gr.Blocks(
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title="Dispatch AI — Wallpaper Engine",
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theme=gr.themes.Base(
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primary_hue="cyan",
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secondary_hue="cyan",
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neutral_hue="slate",
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font=[gr.themes.GoogleFont("Inter"), "ui-sans-serif", "system-ui"],
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).set(
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body_background_fill="#0A0F1A",
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body_background_fill_dark="#0A0F1A",
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body_text_color="#FFFFFF",
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body_text_color_dark="#FFFFFF",
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block_background_fill="#0E1424",
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block_background_fill_dark="#0E1424",
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block_border_color="#1FE0E6",
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block_border_width="1px",
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block_label_text_color="#1FE0E6",
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block_title_text_color="#1FE0E6",
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button_primary_background_fill="#1FE0E6",
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button_primary_background_fill_dark="#1FE0E6",
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button_primary_text_color="#0A0F1A",
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button_primary_border_color="#1FE0E6",
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input_background_fill="#0E1424",
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input_background_fill_dark="#0E1424",
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input_border_color="#1FE0E6",
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input_border_width="1px",
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),
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css=CSS,
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) as demo:
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with gr.Column(elem_id="dispatch-header"):
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gr.Markdown(
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"""
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# Dispatch AI — Wallpaper Engine
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Generate stunning phone wallpapers with FLUX.1-schnell · Dispatch AI (FZE) · UAE
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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aspect_select = gr.Radio(
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list(ASPECT_RATIOS.keys()),
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label="Aspect Ratio",
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value="9:16 (Phone Wallpaper)",
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)
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preset_select = gr.Dropdown(
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list(PRESETS.keys()),
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value=None,
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info="Select a preset to auto-fill the prompt",
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)
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steps_slider = gr.Slider(
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minimum=1, maximum=8, value=4, step=1,
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label="Inference Steps (schnell works well at 4)",
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)
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with gr.Row():
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load_preset_btn = gr.Button("Load Preset", variant="secondary")
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generate_btn = gr.Button("🎨 Generate Wallpaper", variant="primary")
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with gr.Column(scale=2):
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output_image = gr.Image(
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label="Generated Wallpaper",
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load_preset_btn.click(pick_preset_prompt, inputs=preset_select, outputs=prompt_input)
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generate_btn.click(
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generate_wallpaper,
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inputs=[prompt_input, aspect_select, preset_select, steps_slider],
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outputs=[output_image, status_box],
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)
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download_btn.click(download_image, inputs=output_image, outputs=download_file)
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gr.Examples(
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examples=[[v[0], "9:16 (Phone Wallpaper)", k, 4] for k, v in PRESETS.items()],
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inputs=[prompt_input, aspect_select, preset_select, steps_slider],
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label="Preset Examples — click to load",
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)
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gr.Markdown(
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"""
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<div class="dispatch-footer">
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© 2026 Dispatch AI (FZE) · UAE · License 10818 · Model: FLUX.1-schnell by Black Forest Labs
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</div>
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"""
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)
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if __name__ == "__main__":
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demo.queue()
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demo.launch()
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