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Fine-tune Stable Diffusion XL on Amazon SageMaker for unique images #AI

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

Stable Diffusion XL by Stability AI is a text-to-image deep learning model available on Amazon SageMaker JumpStart and Amazon Bedrock. It allows users to generate professional images quickly. The base version, Stable Diffusion XL 1.0, is suitable for generic subjects in images, while custom subjects can be fine-tuned using a custom dataset and Amazon SageMaker.

The solution involves creating a Docker container, training the model on a dataset, and generating unique images. The process includes using SageMaker, Kohya SS framework, AWS CodeCommit, Amazon EventBridge, and AWS CodeBuild. The LoRA fine-tuning method adds parameters to the base model without modifying it, reducing training time and costs.

To train a custom model, users upload a fine-tuning configuration file and images to Amazon S3, create a training container image, and initiate model training using SageMaker Pipelines. Inference can be run on a custom model using the Automatic1111 Stable Diffusion web UI on an EC2 instance.

Example results show images generated using a fine-tuned model. After completion, users can clean up resources to avoid charges. The automated solution allows for quick start and customization, enabling users to create unique images with their own subjects. Visit the AI Use Case Explorer for more use cases.

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Source link: https://aws.amazon.com/blogs/machine-learning/generate-unique-images-by-fine-tuning-stable-diffusion-xl-with-amazon-sagemaker/

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