Instructions to use TMElyralab/MuseV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TMElyralab/MuseV with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TMElyralab/MuseV", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Zhiqiang Xia <sup>\*</sup>,
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Zhaokang Chen<sup>\*</sup>,
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<font size=3>**MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Parallel Denoising**
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Zhiqiang Xia <sup>\*</sup>,
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Zhaokang Chen<sup>\*</sup>,
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