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 unet1.5b-Copy1.ipynb from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 43.6 kB
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/33e4060f8dc7cee46bea5bb98dfa819e8f1cd710/unet1.5b-Copy1.ipynb
- Command line
-
hf download hf://AiArtLab/sdxs-1b@33e4060f8dc7cee46bea5bb98dfa819e8f1cd710/unet1.5b-Copy1.ipynb
-
curl -L -o unet1.5b-Copy1.ipynb https://huggingface.co/AiArtLab/sdxs-1b/resolve/33e4060f8dc7cee46bea5bb98dfa819e8f1cd710/unet1.5b-Copy1.ipynb
43.6 kB
Rendering notebook...
- Xet hash:
- 3f631828fcfc248d8a3d105689f6abe7aa4fe7942bcd04f3c778ccf70f1dfeee
- Size of remote file:
- 43.6 kB
- SHA256:
- b0cf2193ae3cb4e495b621a23de3c127bfdf8d0e0d370236a607dc1399c15e78
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