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 tmp.ipynb from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 884 kB
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/a29e6600258d60903f721a5e823fd4461d385b6c/tmp.ipynb
- Command line
-
hf download hf://AiArtLab/sdxs-1b@a29e6600258d60903f721a5e823fd4461d385b6c/tmp.ipynb
-
curl -L -o tmp.ipynb https://huggingface.co/AiArtLab/sdxs-1b/resolve/a29e6600258d60903f721a5e823fd4461d385b6c/tmp.ipynb
884 kB
Rendering notebook...
- Xet hash:
- 92a89c386db9a33f63589697e5abe7aee1a74beae26b47776e0a82593938f1f6
- Size of remote file:
- 884 kB
- SHA256:
- 38eacf084e27d144ed036ec40b1df9a258c29d6aa9e5e0bc6cfdcfc0c40310d9
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