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 text_encoder/generation_config.json from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/main/text_encoder/generation_config.json
- Command line
-
hf download hf://AiArtLab/sdxs-1b/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/AiArtLab/sdxs-1b/resolve/main/text_encoder/generation_config.json
115 Bytes
- Xet hash:
- 49fe28031c8daf2ccc429be93ca672a711276ed7a140993a4eb712c87fa88d1b
- Size of remote file:
- 115 Bytes
- SHA256:
- 0c35bb39fbaed1ac0656baabc4f4e9bda20214e12336d0e4e8755aac1f487c2e
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