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 vae/diffusion_pytorch_model.safetensors from VAST-AI/HoloPart: direct link, hf CLI and curl.
- Browser
- Download file 485 MB
-
https://huggingface.co/VAST-AI/HoloPart/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://VAST-AI/HoloPart/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/VAST-AI/HoloPart/resolve/main/vae/diffusion_pytorch_model.safetensors
485 MB
- Xet hash:
- 20aaf14f401a8241b078e96b29122adb6c2263de7e86b0aad39fabcbe8a2344f
- Size of remote file:
- 485 MB
- SHA256:
- b43b006e5692223877427cdb568c2c1477f52a2d226db4d5eb354b4886c167a4
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