
The post provides step-by-step instructions for fine-tuning the Stable Diffusion XL text-to-image model with a custom dataset on Amazon SageMaker, enabling users to generate unique images incorporating their custom subjects while leveraging the powerful base model capabilities.


<div>
<p>This article covers how to fine-tune the Stable Diffusion XL text-to-image model using Amazon SageMaker to generate unique images with a custom subject.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Solution overview and architecture</li>
<li>Prerequisites and setting up the code in SageMaker Studio</li>
<li>Training a custom Stable Diffusion XL model</li>
<li>Running inference on the fine-tuned model with Automatic1111 Stable Diffusion web UI</li>
<li>Example results of generated images</li>
<li>Cleaning up resources</li>
</ul>
</div>


Generate unique images by fine-tuning Stable Diffusion XL with Amazon SageMaker

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