Creating Visuals with GenAI tools: Transforming Ideas into Images

What You Will Learn

1. Understand the basics of Generative AI and its applications in image generation.
2. Explore leading image generation models, including Stable Diffusion, Flux, and Qwen-Image.
3. Recognize the benefits, limitations, and challenges of using AI for image creation in academic and creative contexts.
4. Develop practical skills in crafting prompts to guide AI models for optimal visual results.
5. Apply image generation tools to but not limited to:
   - Content Creation (Social Media, Marketing & Advertising, Stock Photos)
   - Design & Prototyping (Graphic, Product, Architecture & Interior)
   - E-commerce (Product Mockups, Personalization)
   - Entertainment & Storytelling (Characters, Environments, Illustrations)
   - Technical & Medical Applications (Background Removal, Style Transfer)
   

Agenda

1. Fundamentals of Image Generation
   - Overview of Generative AI and image generation
   - Introduction to state-of-the-art models (Stable Diffusion, Flux, Qwen-Image, Nano-Banana)
   - Benefits, limitations, and challenges of AI-generated images
2. Prompt Engineering for Text-to-Image (T2I) Generation
   - Why effective prompts matter for T2I generation
   - Techniques for designing clear, effective prompts
   - Practice: Refining your prompt engineering skills with examples
3. Techniques for Image(s)-to-Image (I2I) Generation
   - Introduction to single-image editing
   - Introduction to multi-images referencing
   - Techniques for I2I generation
   - Prompt engineering for I2I generation
   - Practice: Refining your image editing and images merging skills with examples
4. Wrap-Up and Q&A
   - Key takeaways for using GenAI in image generation
   - Open discussion and questions