Prompt Engineering for Visual Creators Training in Marina Bay, Singapore

This course equips designers, artists, and content creators with the skills to use AI-powered visual generation tools (e.g., MidJourney, Stable Diffusion, Adobe Firefly, DALL·E, Runway) effectively. Participants will learn how to craft precise prompts to generate high-quality images, videos, and creative assets that align with their artistic vision and project goals.

Introduction to AI Visual Creation

• Overview of AI generative art tools (MidJourney, Firefly, Stable Diffusion, etc.)

• Fundamentals of prompt engineering for visuals

• AI creativity: strengths and limitations

Prompt Structure and Fundamentals

• Anatomy of a visual prompt (subject, style, modifiers, context)

• Keywords vs descriptive sentences

Style, Composition, and Mood Control

• Specifying art styles (photorealism, digital art, 3D, cinematic, anime, etc.)

• Controlling mood with lighting, tone, and color palettes

• Prompting for composition, framing, and perspective

Advanced Prompt Techniques

• Multi-step and chained prompts

• Negative prompts and constraints for refining outputs

• Aspect ratios, resolution, and upscaling prompts

Tool-Specific Workflows

• MidJourney: Style references and remixing

• Stable Diffusion: Fine-tuning with ControlNet and LoRA models

• Adobe Firefly: Branding and commercial-ready assets

AI for Storytelling & Branding

• Creating consistent characters across multiple outputs

• Generating backgrounds, props, and assets for storytelling

• Branding visuals: logos, posters, and social media creatives

Ethics, Copyright & Best Practices

• Copyright, fair use, and licensing concerns

• Ethical AI visual creation

• Quality control and post-processing with Photoshop/Illustrator

Hands-on Exercises

Summary and Conclusion