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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README.md
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Chao Zhan,
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Wenjiang Zhou
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(<sup>*</sup>Equal Contribution, <sup>†</sup>Corresponding Author)
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Lyra Lab, Tencent Music Entertainment
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**[project](comming soon)** **Technical report (comming soon)**
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Chao Zhan,
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Wenjiang Zhou
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(<sup>*</sup>Equal Contribution, <sup>†</sup>Corresponding Author)
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</br>
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Lyra Lab, Tencent Music Entertainment
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**[project](comming soon)** **Technical report (comming soon)**
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