apy.pt

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Charger le modèle Stable Diffusion
pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")  # Utiliser GPU si disponible

# Fonction pour générer une image
def generate_image(prompt):
    image = pipe(prompt).images[0]
    return image

# Interface Gradio
interface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt here...", label="Image Prompt"),
    outputs=gr.Image(type="pil", label="Generated Image"),
    title="Image Generator with Stable Diffusion",
    description="Enter a description, and the AI will generate an image based on it!"
)

# Lancer l'application
if __name__ == "__main__":
    interface.launch()