AI Design Drawing Full Course from Zero | WebUI/ComfyUI/MJ/Flux All-tools Tutorial, Static Illustration, Dynamic Video, Full Commercial Design Flow



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🕒Last updated: 07/08/2026
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👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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AI Design Drawing Full Course from Zero | WebUI/ComfyUI/MJ/Flux All-tools Tutorial, Static Illustration, Dynamic Video, Full Commercial Design Flow

Course Intro

Many zero-base enthusiasts who want to enter AI drawing hit multiple troubles right at the start: they do not know the differences between AI drawing tools, cannot deploy locally or run on cloud; they cannot read prompt logic or tune parameters, output style is unstable and character faces break; they do not master core plugins like ControlNet and LoRA, cannot precisely control composition, pose and three-view; they only do simple text-to-image, not outpainting, local repaint, mask repair, HD upscaling and other fine retouching; they cannot make animation, dynamic video or video style transfer, only static images with single use cases; they are unfamiliar with full commercial workflows like IP characters, poster packaging, interior design and LOGO, so work does not reach commercial order standards; facing multiple mainstream models MJ, Flux, ComfyUI they do not know where to start, advanced commands, blend params and model switching stay half-understood, learning is fragmented and cannot form a complete creation system.

This full course from zero to mastery covers mainstream AI drawing tools on the market, teaching one-stop from software install and config, basic image logic, to plugin control, animation making and various commercial design projects; fully zero-base friendly, no drawing foundation needed to systematically master the full AI drawing chain.

The whole course balances four blocks: beginner onboarding, tool advancement, dynamic creation, commercial orders, covering WebUI, ComfyUI, Midjourney, Flux and multiple video large models, balancing personal original creation and commercial order needs. Whether a zero-base hobbyist, a designer wanting to switch, a self-media content creator, or a practitioner wanting an AI side-business, you can build a complete AI drawing work system from zero and independently produce high-quality static illustrations, dynamic videos and commercial design work.

Suitable Audience

Zero-base beginners with no drawing foundation who want to systematically learn AI drawing and independently produce beautiful images

Traditional graphic, concept art and interior designers who want AI tools to raise efficiency and expand the order track

Self-media bloggers and content creators who need batch illustrations, posters and dynamic short-video material

Learners who only do simple one-click generation, do not understand plugins, params and workflows, and whose rough images cannot be commercialized

Side-business people who want to master multiple mainstream AI drawing models, build a complete portfolio and take commercial design orders

Course Content

1. 19 - Face swap 1

2. 04 - Using LoRA model in WebUI

3. 10 - ControlNet 3

4. 16 - WebUI image upscaling

5. 18 - WebUI three-view production

6. 09 - ControlNet 2

7. 12 - ControlNet example 2

8. 02 - Basic text-to-image flow in WebUI

9. 20 - Face swap 2

10. 13 - ControlNet example 3

11. 00 - Cloud system and cloud host usage guide

12. 22 - AnimateDiff moving image production

13. 01 - WebUI installation and basic config

14. 14 - ControlNet example 4

15. 25 - WebUI vs ComfyUI comparison

16. 23 - Deforum animation 1

17. 21 - Video style transfer

18. 03 - WebUI image-to-image flow

19. 06 - WebUI mask repaint

21. 15 - Interior design AI application example

22. 17 - WebUI model to real person

23. 03 - WebUI image-to-image flow

24. 1 - MJ intro and activation

25. 2 - MJ basics and homework

26. 3 - MJ prompts and model versions

27. 07 - WebUI outpainting

28. 24 - Deforum animation 2

29. 2-1 - Weight separator and artist style

30. 2-2 - Niji model and seed parameter

31. 05 - WebUI inpainting

32. 08 - WebUI ControlNet

33. 11 - ControlNet example 1

34. 2-3 - Image-to-image and tile, iw params

35. 00 - AIGC design drawing course intro

36. 4-3 - Cartoon IP character and homework

37. 04 - ComfyUI image-to-image

38. 06 - Flux model basic usage flow

39. 02 - ComfyUI interface

40. 07 - Stylized prompts

41. 4-1 - Movie posters and product packaging

42. 08 - LoRA usage

43. 10 - ControlNet usage

44. 09 - Flux model LoRA

45. 4-2 - Event posters and multi-character illustration

46. 18 - Flux style transfer

47. 01 - ComfyUI basic install and model config

48. 14 - Face refinement

49. 3-2 - Operating illustrations, icons, scenes, pop-up store

50. 3-3 - Creative products and homework

51. 03 - ComfyUI basic text-to-image

52. 16 - Flux repaint and fi repaint

53. 05 - ComfyUI XY plot comparison

54. 3-1 - Logo design

55. 2-4 - Multi-image blend, blend command, cref and sref params, describe command

56. 24 - Background removal tools - model to real person

57. 20 - IPAdapter group photo case

58. 29 - Mochi, Pyramid video tools

59. 21 - InstantID commercial portrait and upscale

60. 27 - Character consistency solutions

61. 23 - Mask face repair case

62. 19 - Face swap and IPAdapter

63. 30 - Cog video and Hunyuan video

64. 11 - XL model ControlNet

65. 28 - AnimateDiff animation, dancing noodles style transfer

66. 13 - Outpainting case

67. 22 - LayerStyle 1

68. 15 - Background removal repaint

69. 31 - CatVTON outfit swap node

70. 33 - Interior design workflow breakdown, commercial workflow

71. 32 - ICM real-time drawing workflow

72. 12 - Inpainting

73. 26 - Kutu Hunyuan SD3 Cascade model

74. 17 - Latest Flux ControlNet tools

75. 25 - LLM reverse prompt engineering

Supporting Study Materials

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