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 vae/diffusion_pytorch_model.safetensors from AiArtLab/sdxs-1b: direct link, hf CLI and curl.
- Browser
- Download file 383 MB
-
https://huggingface.co/AiArtLab/sdxs-1b/resolve/741b3a058245201e5a2585bd5adce28578089568/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://AiArtLab/sdxs-1b@741b3a058245201e5a2585bd5adce28578089568/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/AiArtLab/sdxs-1b/resolve/741b3a058245201e5a2585bd5adce28578089568/vae/diffusion_pytorch_model.safetensors
383 MB
- Xet hash:
- d8b4c43c90e9fa00a8541a556a8efaa97fb5687c2f0cc9631303eac517877efb
- Size of remote file:
- 383 MB
- SHA256:
- ffde397a3e78a779adff8ba78297f66d01af5e397512f6ed6d500df30e9833a1
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