2026 AI comic-drama industrialization practice course (updated): from web-novel selection/adaptation, script storyboard to character assets and image-to-video - running the commercial finished-film full process

1. Course intro: the AI Comic-Drama 0-to-1 Industrialization Course is a full-chain AI comic-drama production course built around web-novel selection/adaptation, script storyboards, art assets, AI image generation, image-to-video, voice-over/music and post editing, continuously updated to August 2026. Starting from the track's underlying logic and selection, it systematically teaches the golden-6-dimension web-novel filter, viral quantitative scoring, licensing/contracting, novel adaptation, vertical-screen script norms, viral hooks and a standardized storyboard SOP. The production stage solves the most common AI comic-drama problems - character face-changing, scene drift, prop proportion errors, inconsistent style - via character bios, multi-view, character/scene/prop asset packs and a prompt matrix to build a stable visual-asset system. Then it fully covers text-to-image, image-to-video, shot scale/camera movement, scene transitions, consistency control and quality acceptance, and combines AI voice, sound effects, Suno original music and editing to finish commercial-grade films. It includes 19 live hands-on replays, using real cases to drill selection, adaptation, storyboards, asset generation, frame repair, video generation and post production - building a standardized, replicable, batch-producible AI comic-drama industrial workflow.

2. Who it suits: AI comic-drama beginners; novel short-drama and web-novel creators; AI video/animation creators; teams wanting batch comic-drama production; people wanting to raise commercial delivery ability.

3. What you gain: master viral web-novel selection and adaptation; learn script breakdown and storyboard design; build a character/scene/prop asset library; master image/video consistency control; run the AI comic-drama industrial SOP.

4. Catalog (selected): selection/adaptation part - underlying awareness and first principles; how to select and avoid risk; golden-6-dimension standards; viral scoring model and tiered filtering; script norms; licensing contract clauses and signing; mainstream track pros/cons and viral formulas; the standardized novel-to-comic SOP; manual adaptation and content slimming; the full-scenario adaptation prompt matrix; vertical-screen format and duration standards; storyboard annotation standards; three validation standards and a 10-item self-check; storyboard underlying awareness and full SOP; single-episode storyboard breakdown; and continuing modules.