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+ ---
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+ license: mit
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ inference: false
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+ ---
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+
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+ # Watermarked (extreme) VAE for SDXL
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+
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+ You can use this watermarked VAE for your existing SDXL image generation pipelines
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+ to make sure generated images are watermarked.
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+
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+ ## Usage
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+
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+ ```py
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+ from diffusers.models import AutoencoderKL
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+ from diffusers import StableDiffusionXLPipeline
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+
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+ model = "stabilityai/sdxl-turbo"
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+
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+ vae = AutoencoderKL.from_pretrained("imatag/stable-signature-bzh-sdxl-vae-extreme")
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+
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+ pipe = StableDiffusionXLPipeline.from_pretrained(model, vae=vae)
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+ ```
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+
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+ For more information, please have a look at [the official demo](https://huggingface.co/spaces/imatag/stable-signature-bzh)