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import streamlit as st |
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import torch |
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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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prompt = "Pop international experimental music" |
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video_frames = pipe(prompt, num_inference_steps=25).frames |
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video_path = export_to_video(video_frames) |
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