app.py

import gradio as gr
from diffusers import DiffusionPipeline

# Load the Stable Video Diffusion pipeline (image to video model)
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid-xt")

def generate_image(prompt):
    # Generate the image from the prompt
    result = pipe(prompt)
    image = result.images[0]  # Extract the first frame
    return image

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your prompt", placeholder="e.g. Astronaut in a jungle"),
    outputs=gr.Image(label="Generated Image"),
    title="Stable Video Diffusion - Image to Video",
    description="Generate images (first frame) using Stable Video Diffusion based on your prompts."
)

if __name__ == "__main__":
    iface.launch()