Instructions to use AiArtLab/sdxs-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/sdxs-1b 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/sdxs-1b", dtype=torch.bfloat16, device_map="cuda") prompt = "sdxs-1b" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet_1b.zip from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 4.41 GB
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/0bec123ee3cd8f845b5a6b68e318933eb1bf2da5/unet_1b.zip
- Command line
-
hf download hf://AiArtLab/sdxs-1b@0bec123ee3cd8f845b5a6b68e318933eb1bf2da5/unet_1b.zip
-
curl -L -o unet_1b.zip https://huggingface.co/AiArtLab/sdxs-1b/resolve/0bec123ee3cd8f845b5a6b68e318933eb1bf2da5/unet_1b.zip
4.41 GB
- Xet hash:
- c0966c684e9ac0e2dc499d1e36e04060581575fc3108f8fb0c567882496c8474
- Size of remote file:
- 4.41 GB
- SHA256:
- 92ad12839b75b32d0fae2870c2dee334a11b79baece052adbd43b4d32666d503
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