Two paradigms of AI image generation
- Text-to-image: How AI-based image generation works.
- Image-to-Image: Intelligent image editing with AI.
- Adjust parameters and control image output.
- From image to moving image: animation and text-to-video.
- Practical applications: marketing, product photography, content creation.
Tool landscape and integration
- Overview of special tools and their areas of application.
- Integrate AI tools into graphics programs.
- Combine tools for optimal results.
Structured prompting for visual content
- The 4K Framework: Context, Composition, Criteria, Control.
- Apply framework for text-to-image, image editing, and video.
- Prompt anatomy: From idea to precise instruction.
- Iterate and optimize results.
Working with prompt templates and libraries
- Create reusable prompt templates.
- Build and maintain image libraries.
- Create image series and consistent visuals.
- Further processing of AI-generated images.
- End-to-end workflows: From idea to finished asset.
- Practical exercises: Create your own workflows and templates.
Responsibility in the use of AI-generated images
- Ethical aspects.
- Copyright issues and legal framework conditions.
- Transparency and traceability.