
Course Information

Course Name
GenAI-V: Gen AI: Visual Content Creation

Duration
3 Days
Overview
This workshop introduces participants to the world of visual content creation using generative AI. Designed specifically for enterprise use cases, it focuses on practical techniques and tools to create high impact visuals for marketing, product design, and communication. The curriculum covers foundational concepts, advanced workflows, and specialized techniques, ensuring participants gain comprehensive skills to apply generative AI effectively in their organizations.
Audience Profile
This course is designed for professionals working in marketing, design, product management, and other creative roles. The content is tailored for those who want to understand and apply generative AI for visual content creation without requiring extensive technical expertise.
Prerequisites
- Basic familiarity with computer systems and online tools.
- An interest in design and creativity.
- No prior programming or AI experience required.
At Course Completion
By the end of the workshop, participants will be able to:
- Understand the foundational principles of image generation and manipulation.
- Use free/open source and paid tools to generate high-quality visual content.
- Understand the working of open source image generation models like Stable Diffusion and Flux.
- Create professional-grade images using text-to-image AI models with custom prompts.
- Manipulate and enhance existing images using techniques like in-painting and out-painting.
- Develop reusable workflows for consistent branding and scalable content creation.
- Apply style embeddings and ControlNets to ensure precision and creativity in outputs.
- Fine-tune AI models for specific organizational needs.
- Use readily available fine-tuned models, styles, LoRA’s, embeddings etc for image generation.
- Build visual assets for marketing campaigns, product prototypes, and internal communications.
- Understand ethical considerations and best practices for using generative AI.
- Implement generative AI solutions to improve productivity and creativity in enterprise environments.
Course Outline
- Introduction to Generative AI for Visual Content Creation
- Overview of generative AI and its enterprise applications, emphasizing on free/open source as well as commercial tools.
- Foundations of Images
- Understanding image formats, resolution, and metadata for professional use cases.
- Architecture of Image Generation Models
- Understand how image generation models like Stable Diffusion are trained, their components and execution methods.
- Preparation for Image Generation
- Setting up tools for text-to-image and image-to-image generation.
- Text-to-Image Basics
- Crafting effective prompts, understanding randomness, and generating high-quality images.
- Image Prompt Engineering
- Building enterprise-relevant prompts for targeted image outputs.
- Advanced Prompt Engineering
- Using weights, modifiers, and prompt chaining for complex image outputs.
- Image Manipulation Techniques
- Image-to-image generation, in-painting, and out-painting for enhancing visuals.
- Exploring Fooocus for Quality Image Generation
- Using Fooocus for polished and professional-grade images.
- Introduction to ControlNets
- Ensuring precision and repeatability in visual outputs with ControlNets.
- Advanced Generative Workflows with ComfyUI
- Leveraging node-based systems for modular and reusable workflows.
- Using Style Embeddings for Consistency
- Maintaining brand consistency across campaigns with reusable styles.
- Fine-Tuning Models for Enterprise Use Cases
- Introduction to LoRA and other model fine-tuning techniques for customized outputs.
- Marketing and Branding: Campaign visuals, banners, and social media content.
- Product Design: Creating mockups and prototypes.
- Internal Communications: Custom infographics and illustrations.
- Avatars: Creating custom avatars for marketing and other use cases.
- Managing deployment, collaboration, scalability, and ethical considerations for large organizations.
Overview
Overview
This workshop introduces participants to the world of visual content creation using generative AI. Designed specifically for enterprise use cases, it focuses on practical techniques and tools to create high impact visuals for marketing, product design, and communication. The curriculum covers foundational concepts, advanced workflows, and specialized techniques, ensuring participants gain comprehensive skills to apply generative AI effectively in their organizations.
Audience Profile
Audience Profile
This course is designed for professionals working in marketing, design, product management, and other creative roles. The content is tailored for those who want to understand and apply generative AI for visual content creation without requiring extensive technical expertise.
Prerequisities
Prerequisites
- Basic familiarity with computer systems and online tools.
- An interest in design and creativity.
- No prior programming or AI experience required.
At Course Completion
At Course Completion
By the end of the workshop, participants will be able to:
- Understand the foundational principles of image generation and manipulation.
- Use free/open source and paid tools to generate high-quality visual content.
- Understand the working of open source image generation models like Stable Diffusion and Flux.
- Create professional-grade images using text-to-image AI models with custom prompts.
- Manipulate and enhance existing images using techniques like in-painting and out-painting.
- Develop reusable workflows for consistent branding and scalable content creation.
- Apply style embeddings and ControlNets to ensure precision and creativity in outputs.
- Fine-tune AI models for specific organizational needs.
- Use readily available fine-tuned models, styles, LoRA’s, embeddings etc for image generation.
- Build visual assets for marketing campaigns, product prototypes, and internal communications.
- Understand ethical considerations and best practices for using generative AI.
- Implement generative AI solutions to improve productivity and creativity in enterprise environments.
Course Outline
Course Outline
- Introduction to Generative AI for Visual Content Creation
- Overview of generative AI and its enterprise applications, emphasizing on free/open source as well as commercial tools.
- Foundations of Images
- Understanding image formats, resolution, and metadata for professional use cases.
- Architecture of Image Generation Models
- Understand how image generation models like Stable Diffusion are trained, their components and execution methods.
- Preparation for Image Generation
- Setting up tools for text-to-image and image-to-image generation.
- Text-to-Image Basics
- Crafting effective prompts, understanding randomness, and generating high-quality images.
- Image Prompt Engineering
- Building enterprise-relevant prompts for targeted image outputs.
- Advanced Prompt Engineering
- Using weights, modifiers, and prompt chaining for complex image outputs.
- Image Manipulation Techniques
- Image-to-image generation, in-painting, and out-painting for enhancing visuals.
- Exploring Fooocus for Quality Image Generation
- Using Fooocus for polished and professional-grade images.
- Introduction to ControlNets
- Ensuring precision and repeatability in visual outputs with ControlNets.
- Advanced Generative Workflows with ComfyUI
- Leveraging node-based systems for modular and reusable workflows.
- Using Style Embeddings for Consistency
- Maintaining brand consistency across campaigns with reusable styles.
- Fine-Tuning Models for Enterprise Use Cases
- Introduction to LoRA and other model fine-tuning techniques for customized outputs.
- Marketing and Branding: Campaign visuals, banners, and social media content.
- Product Design: Creating mockups and prototypes.
- Internal Communications: Custom infographics and illustrations.
- Avatars: Creating custom avatars for marketing and other use cases.
- Managing deployment, collaboration, scalability, and ethical considerations for large organizations.
