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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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import spaces
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from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
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from diffusers.utils import export_to_video
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pipe = DiffusionPipeline.from_pretrained("damo-vilab/text-to-video-ms-1.7b", torch_dtype=torch.float16, variant="fp16")
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pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
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pipe.enable_model_cpu_offload()
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@spaces.GPU(duration=250)
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def generate(prompt, num_inference_steps=25):
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video_frames = pipe(prompt, num_inference_steps).frames
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video_path = export_to_video(video_frames)
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return video_path
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prompt = gr.Textbox("Enter prompt to generate a video")
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num_inference_steps = gr.Slider(10, 50, value=25)
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interface = gr.Interface(
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generate,
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inputs=[prompt, num_inference_steps],
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examples=[["Astronaut riding a horse", 25], ["Darth vader surfing in waves", 20]]
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outputs="video",
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cache_examples=False,
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theme="soft"
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)
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