README.md

metadata

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

Watermarked (extreme) VAE for SDXL

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

Usage

from diffusers.models import AutoencoderKL
from diffusers import StableDiffusionPipeline

model = "stabilityai/sdxl-turbo"

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

pipe = StableDiffusionPipeline.from_pretrained(model, vae=vae)

For more information, please have a look at the official demo