Diffusion AI Photography Training in Thimphu, Bhutan

This hands-on training provides creative professionals and design teams with practical knowledge of Stable Diffusion and its applications in brand-aligned content creation, campaign visuals, and AI-powered design workflows. Participants will learn how to set up Stable Diffusion, master prompt engineering, use advanced extensions, and integrate AI tools into existing creative pipelines while ensuring ethical and responsible AI adoption.

Foundations & Core Skills

Module 1: Introduction to Stable Diffusion and Generative AI

• Training objectives & roadmap
• Why Generative AI matters for creative teams
• Real-world applications of AI in design & marketing

Module 2: Stable Diffusion Setup and Installation Guide

• Local installation & cloud deployment
• Hardware/GPU requirements for creatives
• Managing models, datasets & workflows

Module 3: Mastering Prompt Engineering in Stable Diffusion

• Prompt structure (subject, modifiers, style, lighting)
• Writing effective AI prompts for high-quality results
• Negative prompts for brand safety & image control

Module 4: Brand Consistency with AI Image Generation

• Style tokens & palettes for brand alignment
• Iterative refinement & seed control for reproducibility
• Building a Prompt Library for creative teams

Advanced Tools, Workflows & Governance

Module 5: Advanced Stable Diffusion Tools and Extensions

• Comparing Stable Diffusion versions (1.5, XL, Turbo)
• Interfaces: Automatic1111, ComfyUI, InvokeAI
• Extensions: ControlNet, LoRAs, Textual Inversion
• Fine-tuning with custom LoRA models
• Use cases: product imagery, campaign visuals, concept ideation

Module 6: Creative Workflows with AI Image Editing

• Image-to-Image workflows for design iteration
• Inpainting & outpainting for creative edits
• Post-processing with Photoshop/Lightroom
• AI-enhanced storytelling & campaign visuals

Module 7: Workflow Management for AI-Powered Design Teams

• Integrating Stable Diffusion into creative pipelines
• Asset organization & version control best practices
• Team collaboration & prompt sharing platforms
• ROI measurement of AI-driven creativity

Module 8: Ethical AI Use, Copyright & Brand Safety

• Copyright, ownership & IP considerations
• Dataset transparency & responsible sourcing
• Bias mitigation & brand safety strategies
• Responsible AI usage guidelines for organizations

Summary & Wrap-Up: Future of Generative AI in Creativity

• Recap of key learnings
• Best practices for scaling AI in design workflows
• Open Q&A
• ProgNXT Assessment
• ProgNXT Certification