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Create app/py
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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()