Stable Diffusion AI Drawing System Practical Course: From WebUI Basics to ComfyUI Workflows, Master Commercial Design and Efficient Image Generation

Course Content Introduction

A practical AI drawing system course built around the two core workflows of **Stable Diffusion WebUI and ComfyUI**, currently with 53 lessons, including 34 WebUI lessons and 19 ComfyUI lessons, and continuously updated with cutting-edge AI applications. The course starts with basic knowledge such as SD installation and deployment, models and VAE, prompts, samplers, text-to-image, image-to-image, and inpainting, then gradually goes deeper into Checkpoint, LoRA, Embedding, ControlNet, IPAdapter, InstantID, IC-Light, and various plugin applications; the practical part covers face swapping, style transfer, high-definition upscaling, local inpainting, outpainting, poster art text, artistic QR codes, product image blending and background replacement, ID photos, clothing models, portrait photography, and other scenarios. The ComfyUI part further studies node logic and workflow building, and through **commercial cases such as portrait photography, product photography, and character portrait redrawing**, learners master automated AI image generation processes, suitable for advertising, e-commerce, graphic design, creative drawing, and film and television post-production practitioners to systematically improve AI visual production capabilities.

Suitable Audience

Course Content Introduction
1. AI Drawing and Stable Diffusion Beginners
Course Content Introduction
2. Course Content Introduction
Course Content Introduction
3. and
Course Content Introduction
4. Course Content Introduction
Course Content Introduction
5. AI
Course Content Introduction

Learning Outcomes

Course Content Introduction
1. Master the complete WebUI AI image generation process
Course Content Introduction
2. Learn ComfyUI workflow building methods
Course Content Introduction
3. Master core technologies such as ControlNet and LoRA
Course Content Overview
4. Target Audience
What You Will Learn
5. AI
Course Content Overview

Course Outline
01.01.Integrated Package Installation + Basics_x264
02.02.Text-to-Image - Model and VAE_x264
03.03.Text-to-Image - Sampler + Scheduler + Iteration Steps_batch
04.04.Text-to-Image - High Resolution Fix + Other Basic Parameters_batch
05.05.Text-to-Image - Model and VAE_batch
06.06.Text-to-Image_batch
07.07.Text-to-Image_batch
08.08.Text-to-Image - Model and VAE_batch
09.09.Text-to-Image - is_batch
10.10.Installation_batch
11.11.Installation_batch
12.12.Installation_batch
13.13.Checkpoint Usage_batch
14.14.LoRA_batch
15.15.VAE Embedding Hypernetwork_batch
16.16.Prompt Tips_batch
17.17.Installation and Usage_batch
18.18.ControlNet Installation and Usage_batch
19.19.ControlNet_batch
20.20.ControlNet and_batch
21.21.ControlNet Character_batch
22.22.ControlNet - and_batch
23.23.ControlNet_batch
24.24._batch
25.25.Practice - Instant-ID_batch
26.26.Practice - IPAdapter_batch
27.27.Practice_batch
28.28.Practice - AI_batch
29.29.Practice_batch
30.30.Practice_batch
31.31.Practice - AI_batch
32.32.Practice - Production_batch
33.33.Practice_batch
34.34.Practice_batch
35.35.ComfyUI_batch
36.51.IC-lightandUsage_batch
37.48.IPA+Prompt_batch
38.45._batch
39.44._batch
40.47.IPAdapterBasics_batch
41.50.Ins+IPACharacter_batch
42.53._batch
43.52._batch
44.49.InstantID_batch
45.46.Basics_batch
46.43.highlarge_batch
47.40.controlnetAux_batch
48.36.SoftwareInstallation_batch
49.39.Loracustom_batch
50.42.full+_batch
51.37._batch
52.38._batch
53.41._batch