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 vae/config.json from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 752 Bytes
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/0a044f219c2293ab419bcfc3eecbdada67c10523/vae/config.json
- Command line
-
hf download hf://AiArtLab/sdxs-1b@0a044f219c2293ab419bcfc3eecbdada67c10523/vae/config.json
-
curl -L -o config.json https://huggingface.co/AiArtLab/sdxs-1b/resolve/0a044f219c2293ab419bcfc3eecbdada67c10523/vae/config.json
752 Bytes
- Xet hash:
- 42e889e3a6f19a13c91f6e135cd5aeca22018f57fdd5f003f7d1b6851c74da69
- Size of remote file:
- 752 Bytes
- SHA256:
- aca6cfc9bfab2f27ae086c52df8bc1d7b4ebede07c3d6d1b29c47e39cca1b753
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