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 tokenizer/tokenizer_config.json from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 737 Bytes
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/fee8c2e9e89f7864882a8edd741712025b96784c/tokenizer/tokenizer_config.json
- Command line
-
hf download hf://AiArtLab/sdxs-1b@fee8c2e9e89f7864882a8edd741712025b96784c/tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/AiArtLab/sdxs-1b/resolve/fee8c2e9e89f7864882a8edd741712025b96784c/tokenizer/tokenizer_config.json
737 Bytes
- Xet hash:
- da7d19116f45033a94e1840ac8fb1aecc2594d944bf79dbd25a0fd1efab58c35
- Size of remote file:
- 737 Bytes
- SHA256:
- 0ae623b1013846a4edb4e2206a09ea3f7a4a92b3215f6f840f3706ccfedcef2d
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