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 vae_comp.ipynb from AiArtLab/sdxl_vae: direct link, hf CLI and curl.
- Browser
- Download file 6.75 kB
-
https://huggingface.co/AiArtLab/sdxl_vae/resolve/refs%2Fpr%2F2/vae_comp.ipynb
- Command line
-
hf download hf://AiArtLab/sdxl_vae@refs/pr/2/vae_comp.ipynb
-
curl -L -o vae_comp.ipynb https://huggingface.co/AiArtLab/sdxl_vae/resolve/refs%2Fpr%2F2/vae_comp.ipynb
6.75 kB