---
license: mit
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: false
---

# Watermarked (strong) VAE for SDXL

You can use this watermarked VAE for your existing SDXL image generation pipelines 
to make sure generated images are watermarked.

## Usage

```py
from diffusers.models import AutoencoderKL
from diffusers import StableDiffusionXLPipeline

model = "stabilityai/sdxl-turbo"

vae = AutoencoderKL.from_pretrained("imatag/stable-signature-bzh-sdxl-vae-strong")

pipe = StableDiffusionXLPipeline.from_pretrained(model, vae=vae)
```

For more information, please have a look at [the official demo](https://huggingface.co/spaces/imatag/stable-signature-bzh)