Instructions to use AiArtLab/sdxs-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/sdxs-2b 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-2b", dtype=torch.bfloat16, device_map="cuda") prompt = "sdxs-2b" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c0d3fbfe0c73cc92d27f5aaca3e03fcc545558ad73d783690da1419f7d3d9470
- Size of remote file:
- 20 MB
- SHA256:
- 547a658514e17c019c67b63c1c8ad0b57239d96b04f20cf1fa421827961631a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.