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 model_index-Copy1.json from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 417 Bytes
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/33e4060f8dc7cee46bea5bb98dfa819e8f1cd710/model_index-Copy1.json
- Command line
-
hf download hf://AiArtLab/sdxs-1b@33e4060f8dc7cee46bea5bb98dfa819e8f1cd710/model_index-Copy1.json
-
curl -L -o model_index-Copy1.json https://huggingface.co/AiArtLab/sdxs-1b/resolve/33e4060f8dc7cee46bea5bb98dfa819e8f1cd710/model_index-Copy1.json
417 Bytes
- Xet hash:
- 3d94eddefddf961e43e4b97ff56ddcf203e8b9a7f6b54fb6011e8083037ab758
- Size of remote file:
- 417 Bytes
- SHA256:
- e7262c65619c10d3d77607525c101c525b6b6a9a3af89f503f35b42e91dd88e2
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