Original Link: amazon-bedrock-samples
This repository provides resources and notebooks for fine-tuning the Amazon Titan Image Generator Model with Amazon Bedrock. Amazon Titan lmage Generator is a cutting edge text-to-image model that is able to understand prompts describing multiple objects in various contexts and captures these relevant details in the images it generates. It can perform advanced image editing tasks such as smart cropping, in-painting, and background changes. However, users would like to adapt the model to unique characteristics in custom datasets that the model is not already trained on.
| Ron the dog | Smila the cat |
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1. Customize the model
In the notebook 1-TIGFT-customization-job, you will find step-by-step instructions on how to customize the Amazon Titan Image Generator model. You will learn how to prepare the training dataset and launch a fine-tuning job.
2. Provision and test the customized model
The notebook 2-TIGFT-provisioned-throughput-inference guides you through the process of provisioning the fine-tuned model. You will compare base model results vs the customized model results.