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.json from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 428 Bytes
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/a29e6600258d60903f721a5e823fd4461d385b6c/model_index.json
- Command line
-
hf download hf://AiArtLab/sdxs-1b@a29e6600258d60903f721a5e823fd4461d385b6c/model_index.json
-
curl -L -o model_index.json https://huggingface.co/AiArtLab/sdxs-1b/resolve/a29e6600258d60903f721a5e823fd4461d385b6c/model_index.json
428 Bytes
- Xet hash:
- f55dec093e912f98abd1626baf20f4b2b09cde51cffdf25a7bcde612895c322b
- Size of remote file:
- 428 Bytes
- SHA256:
- f1b6ce208190165975458f502eb3e7ad6d4a5dd54a507f8dd727e636e363ae93
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