Instructions to use nibox/cn_3dpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nibox/cn_3dpose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nibox/cn_3dpose", 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 diffusion_pytorch_model.bin from nibox/cn_3dpose: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/nibox/cn_3dpose/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://nibox/cn_3dpose/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/nibox/cn_3dpose/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 457d464ba864862278259f26cccc1530e2a017eca81dede84041ea452294fe0d
- Size of remote file:
- 1.45 GB
- SHA256:
- 008538809cdb1aa297be9a7f316d98988e9c2ef74a4f892cdbdd83f5dcb55ec6
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