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
File size: 457 Bytes
380cc5f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "HoloPartPipeline",
"_diffusers_version": "0.30.3",
"part_encoder": [
"holopart.models.part_encoders",
"PartEncoder"
],
"scheduler": [
"holopart.schedulers.scheduling_rectified_flow",
"RectifiedFlowScheduler"
],
"transformer": [
"holopart.models.transformers.triposg_transformer",
"TripoSGDiTModel"
],
"vae": [
"holopart.models.autoencoders.autoencoder_kl_triposg",
"TripoSGVAEModel"
]
}
|