App.py

import torch
from diffusers import DiffusionPipeline
import gradio as gr

# Load the Stable Diffusion model
model_id = "runwayml/stable-diffusion-v1-5"
pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")

# Define the image generation function
def generate_image(prompt):
    if not prompt or prompt.strip() == "":
        return "Please enter a prompt."
    image = pipe(prompt, guidance_scale=7.5).images[0]
    return image

# Create the Gradio interface
interface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your prompt", placeholder="e.g. Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"),
    outputs=gr.Image(label="Generated Image"),
    title="AI Image Generator",
    description="Generate stunning AI art using Stable Diffusion v1.5"
)

# Run the app
if __name__ == "__main__":
    interface.launch()