Instructions to use VAST-AI/HoloPart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/HoloPart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VAST-AI/HoloPart", 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 part_encoder/diffusion_pytorch_model.safetensors from VAST-AI/HoloPart: direct link, hf CLI and curl.
- Browser
- Download file 114 MB
-
https://huggingface.co/VAST-AI/HoloPart/resolve/main/part_encoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://VAST-AI/HoloPart/part_encoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/VAST-AI/HoloPart/resolve/main/part_encoder/diffusion_pytorch_model.safetensors
114 MB
- Xet hash:
- 6892bc6005bd335881e848210bbe68cbb49fb17d29532f56445410633ccd5e76
- Size of remote file:
- 114 MB
- SHA256:
- 95cdf41201fcb656f5a56cfebdbbe51c3daff46c025839f3528e7a9a3aef7ace
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