Prompt Engineering for Visual Production

• An understanding of basic AI concepts
• Experience with digital art or visual media production
• Familiarity with command-line operations

Audience

• Visual content creators
• Digital artists
• AI enthusiasts

Prompt Engineering is the art of crafting input text to guide AI in producing specific visual outputs.

This instructor-led, live training (online or onsite) is aimed at intermediate-level visual content creators who wish to leverage AI for enhanced visual production.

By the end of this training, participants will be able to:

• Craft detailed prompts to generate complex images.
• Understand the nuances of language that influence visual AI output.
• Apply prompt engineering techniques to various forms of visual media.
• Evaluate and refine AI-generated images to meet production standards.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI and Visual Production

• The evolution of AI in art and its historical context
• Understanding the basics of visual AI and its capabilities
• Setting up the environment for AI-powered visual production

The Fundamentals of Prompt Engineering

• Crafting effective prompts: language and structure
• The relationship between text and image: how AI interprets prompts
• Analyzing examples of successful and unsuccessful prompts

Advanced Prompt Techniques

• Manipulating style and content for specific genres
• Creating complex scenes with multiple elements
• Techniques for evoking emotion and storytelling through prompts

Practical Applications of Prompt Engineering

• Still image creation: portraits, landscapes, and abstract art
• Animation and video: storyboarding and character design
• Interactive media: generating assets for games and apps

Industry Tools and Technologies

• Exploring different AI art generators and their unique features
• Integrating AI into the creative workflow for efficiency
• Hands-on practice with leading AI visual production tools

Ethical Considerations and Future Directions

• The ethics of AI in art: authorship and originality
• Predicting future trends: the role of AI in the creative industries
• Preparing for the future: how to stay updated with AI advancements

Final Project and Assessment

• Conceptualizing, troubleshooting and completing your project
• Presenting your work
• Evaluation and feedback

Summary and Next Steps