Generating Custom Images and Variations with Amazon Bedrock
Description
The Amazon Bedrock Image Playground is tailored for developers, data scientists, and businesses to explore generative AI models for realistic image creation, making it particularly beneficial for applications like advertising and presentations. It features a user-friendly interface, a diverse selection of high-performing models, and customization options, allowing users to fine-tune models to meet specific needs.
In this lab, you will explore the Amazon Titan Image Generator G1 model and a few of its capabilities. First, you will interact with the model using the Amazon Bedrock Image Playground to generate and edit an image. Then, you will invoke the model to generate image variations using the Amazon Bedrock runtime in a Jupyter Notebook.
Learning objectives
Upon completion of this intermediate-level lab, you will be able to:
- Generate and edit images using the Amazon Bedrock Image Playground and the Titan Image Generator model
- Employ the Amazon Bedrock runtime to generate variations of images using references
Intended audience
- Candidates for the AWS Certified Machine Learning Specialty certification
- Cloud Architects
- Software Engineers
Prerequisites
Familiarity with the following will be beneficial but is not required:
- Amazon Bedrock
- Python
The following content can be used to fulfill the prerequisites: