Add example code

README.md

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+---
+license: mit
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+inference: false
+---
+
+# Watermarked (weak) 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 StableDiffusionPipeline
+
+model = "stabilityai/sdxl-turbo"
+
+vae = AutoencoderKL.from_pretrained("imatag/stable-signature-bzh-sdxl-vae-weak")
+
+pipe = StableDiffusionPipeline.from_pretrained(model, vae=vae)
+```
+
+For more information, please have a look at [the official demo](https://huggingface.co/spaces/imatag/stable-signature-bzh)