AI Design Practical Training Camp: Master MJ and SD Tools, Build Design Workflows, Practice Brand Poster Projects



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🕒Last updated: 09/27/2026
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👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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AI Design Practical Training Camp: Master MJ and SD Tools, Build Design Workflows, Practice Brand Poster Projects

Course Material

Course Introduction
This Designer AI Work Guide 2.0 is aimed at design practitioners to implement AI design thinking in practice. The course first builds AI design awareness, systematically explaining the full set of Midjourney functions including registration, prompts, image prompting, and redrawing; it explains in detail core modules of Stable Diffusion such as the interface, models, ControlNet, and high-definition restoration. Through commercial cases such as brand LOGOs, IP characters, material extensions, and various posters, it builds a complete workflow, teaches LoRA model training, and includes live Q&A. It comes with a full resource package including massive LoRA models, plugins, and courseware spreadsheets, helping designers apply AI capabilities to real commercial design.

Course Material

Course Outline
{1}–
[1]–1.1 See the Essence, Embrace Change_ev (1)
{2}–Midjourney Basics
[1]–2.1 Registration Process and Interface Introduction_ev (1)
[2]–2.2 The Difference Between Mj and Niji_ev (1)
[3]–2.3 Text-to-Image: Prompt Syntax & Saving Templates_ev (1)
[4]–2.4 Image Prompting and Image Blending & remix Application & Image-to-Text (Part 1)_ev (1)
[5]–2.4 Image reference & blending & remix applications & image-to-text (Part 2)_ev (1)
[6]–2.5 Full suffix command analysis (Part 1)_ev (1)
[7]–2.5 Full suffix command analysis (Part 2)_ev (1)
[8]–2.6 Inpainting & image upscaling & style training (Part 1)_ev (1)
[9]–2.6 Inpainting & image upscaling & style training (Part 2)_ev (1)
{3}–Stable Diffusion Basics
[10]–3.8 ControlNet model explained (Part 2)_ev (1)
[11]–3.9 High-resolution fix & detail optimization_ev (1)
[1]–3.1 Introduction to Stable Diffusion_ev (1)
[2]–3.2 Stable Diffusion WebUI page explained_ev (1)
[3]–3.3 SD Prompt Comprehensive_ev (1)
[4]–3.4 SD and_ev (1)
[5]–3.5 & high_ev (1)
[6]–3.6 & _ev (1)
[7]–3.7 ControlNet _ev (1)
[8]–3.7 ControlNet _ev (1)
{4}– Multi-tool
[10]–4.9 _ev (1)
[11]–4.10 LoRA ‑_ev (1)
[12]–4.10 LoRA ‑_ev (1)
[1]–4.1 1 LOGO _ev (1)
[2]–4.2 2 IP _ev (1)
[3]–4.3 3 IP Generation_ev (1)
[4]–4.4 3 IP _ev (1)
[5]–4.5 03_ev (1)
[6]–4.6 1_ev (1)
[7]–4.7 2_ev (1)
[8]–4.8 3 Character_ev (1)
[9]–4.9 _ev (1)
{5}– Q&A
[1]–1.5 Livestream Q&A (1)
Course Materials
ADE20K_.xlsx
LCM‑LoRA
LoRA
LoRA
SD .rar
seg_ofcoco _.xlsx
Basics &
‑‑mj .xlsx
.txt
vae
Method
PS Auto.Photoshop.SD.plugin_v1.3.3.zip
SD Auto‑AIMJSDPhotoshop‑StableDiffusion‑plugin‑master.zip

Supporting Study Materials

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