

"Douyin AI Follower Growth · Launch Class" is a zero-foundation practical course combining **Stable Diffusion AI painting technology with Douyin account operations**, structured around "**account start → content production → AI painting → character consistency → AI video → publishing and operations → follower growth and conversion**". The first half covers Douyin recommendation mechanisms, account preparation, data analysis, beauty-type account operations, video problem diagnosis, and content publishing strategies for the 1000-follower stage, helping students build account operation thinking; then systematically learns Stable Diffusion, including cloud deployment, local one-click installation, WebUI parameters, text-to-image, image-to-image, inpainting, C站 models, Tag prompts, reverse prompts, high-definition restoration, and 4K image generation. The advanced section focuses on **LoRA character and style control, ControlNet, OpenPose, Canny, SoftEdge** and other technologies to achieve controllable generation of character appearance, actions, clothing, composition, and visual style; then through Ebsynth, FFmpeg, sequence frames, masks, keyframes, batch image-to-image, background replacement, and 3D camera movement, AI images are further produced into dynamic short videos. The course uses recorded lessons combined with live Q&A, account diagnosis, model prompt materials, and student group coaching, aiming to help zero-foundation students build the creative ability to "continuously produce AI visual content without showing their face". The course promotion proposes a training goal of "break through 1000 followers in 30 days", but actual follower growth is still affected by account foundation, content quality, execution frequency, and platform recommendation factors.
01.1, AI Follower Growth
02.2,:
03.3,:
04.4,:
05.5, AI
06.6, AI
07.7,:
08.8,:
09.1,()
10.2, SD
11.3, stable diffusion
12.4, stable diffusion
13.5, stable diffusion
14.1, 5 SD
15.2, SD: C
16.3, C AI
17.1, Tag tag
18.2, Tag
19.3,
20.4,
21.5, Tag
22.1,5
23.2,-
24.1, Lora
25.2, Lora bug
26.3, +Lora
27.4, Lora
28.1, Control net
29.2, Control Net
30.3, -Openpose
31.4, Canny
32.5, Canny
33.6, SoftEdge
34.1, Ebsynth
35.2, Ebsynth
36.3, FFmpeg
37.4, WebUI
38.5,,,
39.6,
40.7, Ebsynth
41.8,
42.1. SD
43.2. SD
44.3,
45.4, 4K images
46.5, 4K images
47.6,,
48.7, 3D camera movement
49.8,
This course comes with a materials pack. Members receive the access link by email after requesting the course.