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Create app.py
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app.py
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import gradio as gr
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from diffusers import StableVideoDiffusionPipeline
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import torch
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# Model Load
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model_id = "stabilityai/stable-video-diffusion-img2vid"
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pipe = StableVideoDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda")
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# Function to Generate Video
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def generate_video(prompt):
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video = pipe(prompt, num_inference_steps=30).videos
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video_path = "generated_video.mp4"
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video[0].save(video_path)
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return video_path
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# Gradio Interface
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iface = gr.Interface(fn=generate_video, inputs="text", outputs="video")
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iface.launch()
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