The AI comic-drama visual production standardized SOP system course is a standardized practical course covering the entire chain of web novel selection, script adaptation, storyboard design, full visual assets, AI image-text and video generation, and post-production music and editing. Unlike fragmented tool-based teaching, its core output is a complete production process that is actionable, reusable, and replicable by teams. The course addresses industry pain points in comic-drama production such as poor text quality, inconsistent visual styles, repeated rework, lack of unified delivery standards, and low productivity. With a supporting theoretical system and extensive hands-on practice, whether for individual independent creation or studio-scale team production, you can rely on this standardized system to stably produce high-quality commercial AI comic-dramas, greatly reducing production time and trial-and-error costs.

Through this course, you will master compliant web novel selection and a quantitative viral scoring system to precisely choose highly adaptable novels for adaptation; become proficient in the full standardized SOP for converting web novels into comic-dramas and produce standardized scripts that meet vertical-screen traffic requirements; and skillfully master storyboard breakdown formulas, hook shot design, and shot-size and camera-movement combinations to output standardized storyboard scripts. At the same time, you will be able to build a complete production system for character, scene, and prop assets, use prompt matrices to complete high-quality text-to-image and image-to-video generation, and master comic-drama-specific editing, sound effects, and AI original music post-production workflows, ultimately possessing a full set of replicable standardized production pipelines.

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• 1.AI comic-drama script selection: fundamentals and first principles
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• 2.Practical selection methods and ways to avoid copyright risks
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• 3.The 6 golden dimensions of easily-adaptable web novels
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• 4.Quantitative scoring model and tiered filtering for viral web novels
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• 5.Pros/cons of major web-novel niches and the viral formula
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• 6.Niche benchmarking, reverse selection, and viral web novel screening practice
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• 7.Web-novel adaptation licensing contract key terms and signing tips
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• 8.Novel-to-comic-drama script standardized SOP
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• 9.Human adaptation core techniques and content slimming
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• 10.AI adaptation full-scenario prompt matrix and application
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• 11.Vertical comic-drama script format spec and duration standards
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• 12.3 quality checks and 10-item self-check for scripts
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• 13.Script adaptation practical exercises and advanced skills training
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• 14.AI painting storyboard annotation standard and template
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• 15.AI comic-drama storyboard fundamentals and full SOP
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• 16.Per-episode storyboard breakdown formula and information extraction
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• 17.Viral hook storyboard design tips and common pitfalls
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• 18.Standardized storyboard script template and field spec
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• 19.Practical guide to comic-drama shot sizes and shot combinations
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• 20.Camera movement principles and vertical comic-drama shot-size combination practice
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• 21.AI comic-drama storyboard script production practical training
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• 22.AI comic-drama asset prep: core logic and industry pitfalls
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• 23.Asset design core principles and pipeline overview
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• 24.Standardized final-script asset breakdown method
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• 25.Character asset anti-collapse: standardized character bios
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• 26.Character multi-view generation logic and image-control spec
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• 27.Character generation prompt matrix and anti-collapse rules
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• 28.Scene requirement breakdown and design fundamentals
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• 29.Scene multi-view design spec and prompt template
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• 30.Prop design core principles and tier system
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• 31.Commercial asset-pack delivery spec and acceptance criteria
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• 32.AI comic-drama asset pipeline: common issues and fixes
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• 33.AI short-drama asset generation and handoff pipeline training
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• 34.Main character base image and multi-angle full-process generation
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• 35.Core scene base image and core prop generation
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• 36.Asset full-process troubleshooting guide and storyboard frame transition techniques
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• 37.Text-to-image + image-to-video full SOP and tool selection
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• 38.Comic-drama text-to-image core specs and prompt logic
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• 39.Text-to-image quality acceptance standards and character consistency control techniques
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• 40.Image-to-video prompt optimization core logic and templates
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• 41.Image-to-video qualification standards and core dimension control techniques
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• 42.AI video generation workflow and pitfall avoidance guide
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• 43.AI short-drama storyboard generation and image-to-video technical training
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• 44.AI comic-drama post-production fundamentals and full SOP
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• 45.AI vocal processing theory and hands-on practice
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• 46.Comic-drama editing core theory and techniques
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• 47.Comic-drama editing sound effect improvement techniques
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• 48.Suno AI original comic-drama soundtrack generation basic hands-on practice
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• 49.Original comic-drama soundtrack advanced generation hands-on practice
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• 50.开课直播答疑
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• 51.AI short-drama script adaptation hands-on practice
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• 52.Genre benchmarking, reverse title selection, and hit web novel screening hands-on practice
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• 53.Novel-to-short-drama script advanced hands-on training
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• 54.AI comic-drama storyboard script production training
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• 55.AI short-drama asset generation and handoff pipeline training
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[July 17, 2026] Update Details

New chapters added:

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1. AI video post-editing tricks and blooper rescue
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2. Canvas platform: industrialized AI video production pipeline
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[August 10, 2026] Update Details

New chapters added:

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1. AI Comic-Drama Production SOP and novel download hands-on training
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2. AI Scriptwriting (Substitution Method) and Meihuazhong Platform Practical Training
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[August 26, 2026] Update Details

New chapters added:

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1. AI Short Drama Editing Logic and Post-Production Techniques Training
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2. Asset Setting (Scenes) + Worldview
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3. AI Short Drama Props and Character Asset Design Training
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4. AI Video Asset Restoration and Prop Proportion Control Training
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.