Instructions to use camenduru/MusePose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/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("camenduru/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
Commit History
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Rename dwpose/yolox_l_8x8_300e_coco_20211126_140236-d3bd2b23.pth to dwpose/yolox_l_8x8_300e_coco.pth
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Rename reference_unet.pth to MusePose/reference_unet.pth
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Rename pose_guider.pth to MusePose/pose_guider.pth
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Rename motion_module.pth to MusePose/motion_module.pth
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Rename denoising_unet.pth to MusePose/denoising_unet.pth
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thanks to TMElyralab ❤
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thanks to TMElyralab ❤
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initial commit
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