Instructions to use suvadityamuk/TRELLIS-image-large-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/TRELLIS-image-large-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/TRELLIS-image-large-diffusers-3d", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Trellis
How to use suvadityamuk/TRELLIS-image-large-diffusers-3d with Trellis:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
suvadityamuk HF Staff
Convert microsoft/TRELLIS-image-large with diffusers-3d 0.1.0.dev0
5e1711c verified Download sparse_structure_decoder/diffusion_pytorch_model.safetensors from suvadityamuk/TRELLIS-image-large-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/suvadityamuk/TRELLIS-image-large-diffusers-3d/resolve/main/sparse_structure_decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://suvadityamuk/TRELLIS-image-large-diffusers-3d/sparse_structure_decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/suvadityamuk/TRELLIS-image-large-diffusers-3d/resolve/main/sparse_structure_decoder/diffusion_pytorch_model.safetensors
148 MB
- Xet hash:
- dbbb3e49bafdc8ef379c55c965a2104e792722c42a2386712a3c291ab0b4f430
- Size of remote file:
- 148 MB
- SHA256:
- f538e5a9e923c7d6cf3bb56d111ae2838451335bbf43f4f4351c825dd9fe95f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.