Many zero-baseline enthusiasts who want to get into AI drawing run into multiple difficulties right from the start: they don't understand the differences between various AI drawing tools, and don't know how to deploy locally or run in the cloud; they can't grasp prompt logic, adjust parameters chaotically, produce unstable output styles, and end up with distorted facial features; they don't master core plugins like ControlNet and LoRA, and can't precisely control composition, pose, or three-view images; they only know simple text-to-image, and don't understand fine retouching techniques such as outpainting, local redrawing, mask repair, and high-definition image upscaling; they can't create animations, dynamic videos, or video re-drawing, and can only produce static images with limited application scenarios; they aren't familiar with complete workflows for commercial projects such as IP characters, poster packaging, interior design, and LOGOs, and their output doesn't meet the standards for paid commercial work; faced with multiple mainstream models like MJ, Flux, and ComfyUI, they don't know where to start, have only a partial understanding of various advanced commands, fusion parameters, and model switching, and their fragmented learning makes it hard to form a complete creative system.

This complete AI design and drawing course, from zero-baseline to mastery, covers mainstream AI drawing tools on the market, offering one-stop teaching from software installation and configuration, basic image generation logic, to plugin operation, animation production, and various commercial design projects. It is completely beginner-friendly, and even without any drawing background, you can systematically master the full-chain capabilities of AI drawing. Through this course, you will learn how to build your own AI drawing workflow from scratch, precisely control every image generation result, and independently complete the entire process from static illustration to dynamic video, and from personal creation to commercial commissions. Whether you are a beginner looking to explore AI art or a designer hoping to use AI to improve efficiency, this course can provide you with a clear and efficient growth path.

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• 1.AI design and drawing course introduction and cloud system usage instructions
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• 2.WebUI and ComfyUI installation and basic configuration
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• 3.WebUI text-to-image and image-to-image basic workflow
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• 4.Using LoRA models in WebUI
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• 5.WebUI local redrawing, mask redrawing, outpainting, and image upscaling
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• 6.WebUI three-view creation and model-to-real-person conversion
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• 7.WebUI face-swap techniques
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• 8.WebUI ControlNet core features and usage
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• 9.ControlNet practical applications (Parts 1 to 4)
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• 10.Using ControlNet with XL models
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• 11.MJ Introduction, Activation, Basic Operations
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• 12.MJ Prompts, Model Versions, Weight Separators, and Artist Styles
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• 13.Niji Model, seed and iw Parameters, Image-to-Image and tile Parameters
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• 14.Multi-Image Blending, blend Command, cref and sref Parameters, describe Command
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• 15.ComfyUI Interface, Basic Text-to-Image and Image-to-Image
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• 16.ComfyUI XY Plot Comparison, WebUI vs ComfyUI Comparison
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• 17.ComfyUI Inpainting, Outpainting, Background Removal and Redraw, Masked Face Restoration
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• 18.Face Refinement, IPadapter Group Photo and Face Swap Cases
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• 19.InstantID Commercial Portraits and Upscaling, Layerstyle Application
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• 20.Various Background Removal Tools, Character Consistency Solutions
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• 21.ICM Real-Time Painting Workflow, Interior Design Workflow Breakdown
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• 22.Flux Model Basic Usage Flow, LoRA Usage, Style Transfer
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• 23.Flux Alimama Inpainting and Regional Inpainting, Latest ControlNet Tools
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• 24.Animatediff GIF Creation and Animation Production
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• 25.Deforum Animation, Video Redrawing
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• 26.Mochi, Pyramid, Cog, Hunyuan and Other Video Tools
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• 27.Logo Design, Marketing Illustrations and Scenes, Creative Product Design
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• 28.Movie Posters, Product Packaging, Event Posters, Multi-Character Illustrations
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• 29.Cartoon IP Character Design, AI Application in Interior Design
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• 30.Stylized Prompts, Prompt Reverse-Engineering with Multiple Large Language Models
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• 31.Koutu, Hunyuan, SD3, Cascade and Other Multi-Model Applications
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• 32.Catvton Clothing Swap Node
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