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/special_tokens_map.json from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 588 Bytes
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/fee8c2e9e89f7864882a8edd741712025b96784c/tokenizer/special_tokens_map.json
- Command line
-
hf download hf://AiArtLab/sdxs-1b@fee8c2e9e89f7864882a8edd741712025b96784c/tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/AiArtLab/sdxs-1b/resolve/fee8c2e9e89f7864882a8edd741712025b96784c/tokenizer/special_tokens_map.json
588 Bytes
- Xet hash:
- c0f91064bb8f5ba737303517f914c8f7f78fd0f37c996b3a33b386e0d9e2e347
- Size of remote file:
- 588 Bytes
- SHA256:
- 2cdb3b8331a60c92fc1e55a13e9fd61fd2293c5a51275fdcccd62b780052530e
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