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 test.ipynb from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 5.16 MB
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/fee8c2e9e89f7864882a8edd741712025b96784c/test.ipynb
- Command line
-
hf download hf://AiArtLab/sdxs-1b@fee8c2e9e89f7864882a8edd741712025b96784c/test.ipynb
-
curl -L -o test.ipynb https://huggingface.co/AiArtLab/sdxs-1b/resolve/fee8c2e9e89f7864882a8edd741712025b96784c/test.ipynb
5.16 MB
Rendering notebook...
- Xet hash:
- 7605772c74f1caca2653452fea407226122b7e34c3241640e8b245e8ca414ab6
- Size of remote file:
- 5.16 MB
- SHA256:
- bf0d89eba46a54b7cc624cf3b0f5df8ea0320aa2a8f4a5b3194a48205c10a29f
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