Course outline:
\AI-Painting Basics & Principles
–. 01 AI Painting From 0 to Mastery –. introduction to the overall process and path to mastery of AI painting.
–. 02 Local SD Deployment (Download & Install) – detailed tutorial on how to install and configure SD software.
–. 03 SD Application Logic, Interface & Prompt Tips – explore the software's usage logic and user interface, and how to effectively use prompts.
– 04 Samplers & Models: Application & Underlying Logic – in-depth understanding of the application and working principles of samplers and models in AI painting.
– 05 Image-to-Image Principles, Local Redraw & Doodle Tips – learn the basic principles of image generation, local redraw, and doodle techniques.
Practice & Application
– 06 Post-Processing, Detail Control & HD Upscaling – techniques and strategies for post-processing to ensure image details and HD results.
– 07-21 Hands-On Cases – a series of practical cases, including but not limited to art restoration, high-end photography techniques, and e-commerce image design.
Advanced Plugins & Tools
– 08 Plugin Applications, ControlNet Precision Control & OpenPose Practice – use various plugins to enhance the control and effects of AI painting.
– 09 ControlNet Lineart, Depth, Doodle & Semantic Segmentation Logic & Practice – use ControlNet for lineart creation, depth analysis, and doodling.
– 10 Random Shuffle, Tiling, IP2P Reference & Adaptive Model Logic & Practice – explore more advanced techniques and model logic applications.
Scenario Deep-Dives
– 12-14 Restoration Art Series – restoring old paintings, portraits, and damaged old photos.
– 15-17 High-End Photography – portrait background swaps, model outfit swaps, and plugin face-swap.
– 18-21 Image Outpainting Methods & E-Commerce Image Design.