Instructions to use jhj0517/MusePose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jhj0517/MusePose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jhj0517/MusePose", 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
jhj0517 commited on
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README.md
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license_link: https://github.com/TMElyralab/MusePose?tab=readme-ov-file#disclaimerlicense
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license_link: https://github.com/TMElyralab/MusePose?tab=readme-ov-file#disclaimerlicense
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# All models related to [MusePose](https://github.com/TMElyralab/MusePose.git).
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Models list
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