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[SDXL](https://arxiv.org/abs/2307.01952) consists of
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In a first step, the base model is used to generate (noisy) latents,
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which are then further processed with a refinement model (available here: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/) specialized for the final denoising steps.
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Note that the base model can be used as a standalone module.
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[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324) pipeline for latent diffusion:
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In a first step, the base model is used to generate (noisy) latents,
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which are then further processed with a refinement model (available here: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/) specialized for the final denoising steps.
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Note that the base model can be used as a standalone module.
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