Instructions to use yanboding/MTVCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yanboding/MTVCrafter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yanboding/MTVCrafter", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
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[Yali Wang†](https://scholar.google.com/citations?user=hD948dkAAAAJ)
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[Yali Wang†](https://scholar.google.com/citations?user=hD948dkAAAAJ)
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🔗 [Project Page](https://dingyanbo.github.io/MTVCrafter/) |
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📄 [arXiv](https://arxiv.org/abs/2505.10238) |
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💻 [Code](https://github.com/DINGYANB/MTVCrafter) |
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🤗 [Hugging Face Model](https://huggingface.co/yanboding/MTVCrafter)
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