Instructions to use gen-lab/TRELLIS-slat-text-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gen-lab/TRELLIS-slat-text-xlarge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gen-lab/TRELLIS-slat-text-xlarge", 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
- Xet hash:
- b059706f94437179d6e44bff9ca1c7a9cb44c221533b941f316bfe2de0c39f46
- Size of remote file:
- 364 MB
- SHA256:
- 93f2271529d8027f410b45077f7d5d99a0cb34bed9d10d1bfbdc04499d944843
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.