Instructions to use AiArtLab/sdxl_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/sdxl_vae 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/sdxl_vae", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download result.png from AiArtLab/sdxl_vae: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/AiArtLab/sdxl_vae/resolve/main/result.png
- Command line
-
hf download hf://AiArtLab/sdxl_vae/result.png
-
curl -L -o result.png https://huggingface.co/AiArtLab/sdxl_vae/resolve/main/result.png
118 kB

- Xet hash:
- 4c2c72ab901069aec50c7605ea85668eb48bbc4e0609c30a30c6ac447fe10025
- Size of remote file:
- 118 kB
- SHA256:
- 2fc6cf3e8db914a383fee4423f48654fb490af61ebbf1dbc1ff18e5e27a7c4d5
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