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
Download sd-image-variations-diffusers/unet/diffusion_pytorch_model.bin from hoveyc/musepose: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/hoveyc/musepose/resolve/main/sd-image-variations-diffusers/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hoveyc/musepose/sd-image-variations-diffusers/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hoveyc/musepose/resolve/main/sd-image-variations-diffusers/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- bc0035ff20aa421ef2b687fc12509f2beba3d6aa686f82db92613831525f1b45
- Size of remote file:
- 3.44 GB
- SHA256:
- ee23e3368e4e7c0e4ef636ed61923609c97fcaa583f8bb416e3e0986d4a0cfc6
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