Instructions to use hoveyc/musepose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hoveyc/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("hoveyc/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
Add dependency version of diffusers
Browse files
README.md
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pip install -r requirements.txt
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pip install openmim
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mim install mmengine "mmcv>=2.0.1" "mmdet>=3.1.0" "mmpose>=1.1.0"
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# Download weights
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huggingface-cli download --local-dir /tmp/download hoveyc/musepose
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pip install -r requirements.txt
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pip install openmim
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mim install mmengine "mmcv>=2.0.1" "mmdet>=3.1.0" "mmpose>=1.1.0"
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pip install "diffusers<0.29"
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# Download weights
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huggingface-cli download --local-dir /tmp/download hoveyc/musepose
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