DALL-E 3: High-Resolution Images Training in Kuala Lumpur, Malaysia

This training program introduces learners to DALL-E 3, OpenAI’s most advanced text-to-image model. The course focuses on creating high-resolution, detailed, and context-aware images using advanced prompt techniques. Participants will also explore image editing, variations, and use cases across design, marketing, education, and content creation.

Introduction and Foundational Prompting

Overview of DALL-E 3

• What makes DALL-E 3 different from earlier versions
• Supported platforms and integration with ChatGPT
• High-resolution capabilities and use cases

Prompting for Precision and Clarity

• Basic prompt structure and language tips
• Using detail, style, lighting, and composition in prompts

Styles, Moods, and Visual Storytelling

• Setting tone with color, mood, and environment
• How to describe styles (e.g., photorealism, surrealism, anime, vintage)
• Combining emotional tone with visual detail

Visual Control, Editing, and Composition

Designing with Control and Consistency

• Creating complex scenes (indoor/outdoor, groups, objects)
• Generating consistent images for characters or themes
• Prompt techniques for layout control

Using Inpainting for Edits and Enhancements

• What is inpainting and how to use it in DALL-E 3
• Editing existing images to add/remove/modify parts
• Real-world example: Modify product packaging, add signage, change clothing

Multi-Image Visual Projects

• Creating consistent styles across slides, posts, or scenes
• Image sequencing for storytelling or product displays
• Use case: Social media campaign or children’s book illustrations

Professional Applications and Final Exercises

Real-World Use Cases

• Marketing: Ads, banners, branding concepts
• Education: Visual explanations, diagrams, concept visuals
• Content creation: Blogs, books, thumbnails, cover art
• Business: Presentation slides, client visuals, product mockups

Resolution, Format, and Export Best Practices

• Understanding image formats (PNG, JPG, SVG)
• Managing clarity, resolution, and print-readiness
• When to upscale or edit in external tools

Ethical Use and AI Literacy

• Copyright, originality, and commercial use considerations
• Avoiding sensitive or biased prompts
• Teaching responsible visual creation with AI

Wrap-Up and Next Steps

• Summary of techniques learned
• Resources for continued learning
• Q&A and certification (if applicable)