Instructions to use AiArtLab/sdxs3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/sdxs3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/sdxs3d", 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 tokenizer/vocab.json from AiArtLab/sdxs3d: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/AiArtLab/sdxs3d/resolve/main/tokenizer/vocab.json
- Command line
-
hf download hf://AiArtLab/sdxs3d/tokenizer/vocab.json
-
curl -L -o vocab.json https://huggingface.co/AiArtLab/sdxs3d/resolve/main/tokenizer/vocab.json
2.78 MB
- Xet hash:
- de7f05f65b8fa2f8d589064719c0fb8513d240dd2138978a828b0a2d48f76ded
- Size of remote file:
- 2.78 MB
- SHA256:
- ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.