Instructions to use stabilityai/sdxl-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/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("stabilityai/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
doesnt work well
#5
by mehmetsatcodeway - opened
I have the same thing. Decoded images like yours in float32, "nans" in float16.
If they trained the encoder too, we cannot use it other stable diffusion models
they trained the encoder too, for sure
