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---
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) |