Stable Diffusion AI Painting Full System Course, from zero basics to advanced commercial workflows, full coverage

Course Introduction​

AI painting has become a core skill for design, self-media, and e-commerce side businesses, but most beginners encounter problems when self-studying: software installation errors, confusing parameters, blurry or distorted images, inability to fix styles, inability to control images, and only being able to create basic images without commercial cases. Fragmented online tutorials are scattered and unsystematic, and after learning, one still cannot independently create works, wasting a lot of trial-and-error time.

This SD AI painting full system practical course is a complete closed-loop tutorial from zero-basics installation and deployment to advanced commercial workflows, progressing step by step from shallow to deep, breaking down all SD core functions, plugin systems, image control logic, and commercial cases in detail, so even zero-basics learners can easily understand and practice.

The course starts with the most basic integrated package installation and environment configuration, completely solving beginner installation problems. It systematically explains the core logic of text-to-image, covering models, VAE, samplers, schedulers, iteration steps, high-resolution fix, and all basic parameters, helping students fully understand the underlying principles of image generation and say goodbye to blindly copying parameters. It also explains image-to-image, scribble redraw, mask fine redraw, batch image generation, and other practical functions in detail, greatly improving creation efficiency.

The advanced section fully covers the SD ecosystem plugin system, including multiple plugin installation methods, plugin management and deletion techniques, with hands-on teaching of script tool deployment and use. It focuses on the core image control tool ControlNet, deeply breaking down linear control, depth normal, character pose, semantic segmentation, style transfer, and the full set of image control methods, precisely controlling character actions, image structure, scene perspective, and overall style, completely solving problems of image collapse and messy composition.

The model-specific teaching fully covers mainstream resources, including Checkpoint large models, Lora models, VAE, Embedding, and other model usages, combined with prompt weight adjustment and advanced prompt plugin techniques, making image texture, details, and style precisely controllable.

The latter half of the course focuses on commercial implementation practice, unlocking many popular high-value cases: AI intelligent face swap, IPAdapter style transfer, light and shadow art text, hidden text and image effects, creative art QR codes, product image blending and background replacement, AI portrait retouching, ID photo creation, e-commerce fake model generation, clothing real-scene finished images, etc., suitable for self-media, design order taking, e-commerce

Advanced ComfyUI software basics, large model and IPA etc., high-level tips, advanced, achieve high single

Course Content full no no Zero Basis Beginner Practice high full Covering AI single Monetization

Target Audience​

1. AI Zero Basis small not Installation not

2. Production AI Graphics

3. AI

4. AI single Master full

5. Basics ControlNet ComfyUI high Advanced

Learning Outcomes​

1. SD Software Installation Installation

2. full Basics

3. Master

4. ControlNet full Tips

5. Master Prompt high Tips

6. Learn etc.

7. Master ComfyUI Achieve high

Course Outline

01.01. Installation + Basics_x264

02.02. - and VAE_x264

03.03. - + + _batch

04.04. - high + Basics_batch

05.05. - and _batch

06.06. _batch

07.07. _batch

08.08.-and_batch

09.09.-is_batch

10.10.-Installation_batch

11.11.-Installation_batch

12.12.-Installation_batch

13.13.-CheckpointUsage_batch

14.14.-Lora_batch

15.15.-04-3.-VAEEmbeddingHypernetwork_batch

16.16.PromptTips_batch

17.17.InstallationUsage_batch

18.18.controlnetInstallationUsage_batch

19.19.controlnet_batch

20.20.controlnetand_batch

21.21.controlnetCharacter_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.Software Installation_batch

49.39.Lora Custom_batch

50.42.Full+_batch

51.37._batch

52.38._batch

53.41._batch