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Add code snippet for Diffusers (#2)
Browse files- Add code snippet for Diffusers (de54b5141193bc2135850e3746863a9e4b52372c)
Co-authored-by: Patrick von Platen <[email protected]>
README.md
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@@ -19,6 +19,42 @@ zeroscope_v2_576w uses 7.9gb of vram when rendering 30 frames at 576x320
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For upscaling, it's recommended to use [zeroscope_v2_XL](https://huggingface.co/cerspense/zeroscope_v2_XL) via vid2vid in the 1111 extension. It works best at 1024x576 with a denoise strength between 0.66 and 0.85. Remember to use the same prompt that was used to generate the original clip. <br />
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### Known issues
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For upscaling, it's recommended to use [zeroscope_v2_XL](https://huggingface.co/cerspense/zeroscope_v2_XL) via vid2vid in the 1111 extension. It works best at 1024x576 with a denoise strength between 0.66 and 0.85. Remember to use the same prompt that was used to generate the original clip. <br />
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### Usage in 🧨 Diffusers
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Let's first install the libraries required:
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```bash
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$ pip install diffusers transformers accelerate torch
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```
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Now, generate a video:
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```py
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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("cerspense/zeroscope_v2_576w", torch_dtype=torch.float16)
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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 = "Darth Vader is surfing on waves"
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video_frames = pipe(prompt, num_inference_steps=40, height=320, width=576, num_frames=24).frames
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video_path = export_to_video(video_frames)
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```
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Here are some results:
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<table>
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<tr>
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Darth vader is surfing on waves.
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<br>
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<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/darthvader_cerpense.gif"
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alt="Darth vader surfing in waves."
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style="width: 576;" />
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</center></td>
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</tr>
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</table>
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### Known issues
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