Visual content with AI: Methods and workflows for practical application

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.