Delve into AI-driven image generation by leveraging Google's Gemini API and its Imagen model. Learn to set up the API client, craft effective prompts, adjust generation parameters, and handle the resulting images.
Overview
Syllabus
- Unit 1: Creating Images with Gemini's Imagen and Java
- Implementing Image Generation with Gemini API
- Customizing Image Generation Prompts with Gemini API
- Generating and Handling Multiple AI Images
- Changing Image Aspect Ratio from Widescreen to Square Format
- Creating Dynamic Filenames from Image Generation Prompts
- Unit 2: Crafting Effective Prompts for Image Generation in Java
- Exploring Image Generation with Varying Prompt Complexity
- Creating Image Prompts with Consistent Subject and Varied Styles
- Refining Image Prompts for Enhanced AI Generation
- Unit 3: Introduction to Styles and Quality Modifiers in Java
- Adding Artistic Style and Quality Modifiers to Image Prompts
- Comparing Style and Quality in AI-Generated Images
- Creating Image Generation Prompts with Artistic Styles and Quality Modifiers
- Exploring Quality Modifiers for Image Generation
- Combining Conflicting Artistic Styles with Quality Modifiers
- Unit 4: Introduction to Photography Modifiers in Java
- Modifying Photography Parameters for AI Image Generation
- Enhancing AI Images with Lighting Modifiers
- Exploring Camera Positions in AI Image Generation
- Adding Film-Based Modifiers to AI Image Prompts
- Experimenting with Camera Proximity in AI Image Generation
- Unit 5: Integrating Text into Images with Gemini's Imagen and Java
- Customizing Text Placement in Image Generation Prompts
- Adding a Third Text Element with Placement Instructions to Image Prompts
- Enhancing Text Styling in Image Generation Prompts
- Adding Color Specifications to Text in Image Generation Prompts
- Refining Text with Size and Orientation in Image Generation