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+ ---
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+ license: mit
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+ ---
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+
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+ # Text-to-Video Diffusion Model
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+
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+ This is a text-to-video diffusion model trained to generate video frames from text prompts.
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+
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+ ## Usage
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+
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+ ```python
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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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+
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+ pipe = DiffusionPipeline.from_pretrained("your-username/text-to-video-diffusion", 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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+
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+ prompt = "Spiderman is surfing"
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+ video_frames = pipe(prompt, num_inference_steps=25).frames
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+ video_path = export_to_video(video_frames)