A Cinematic Workflow for AI Video Generation
iiTzMYUNG · reddit · 2026-07-19
The author breaks down why AI videos often look technically fine but feel emotionally flat. The core issue? Treating the process as mere prompt engineering rather than actual filmmaking.
Key methods include: mapping out the emotional arc of every shot first; structuring prompts sequentially as "Subject → Identity → Emotion → Environment → Lighting → Camera → Finishing touches"; maintaining a character bible (using LoRA for consistency if needed); describing only the "changes" during image-to-video generation rather than repeating static descriptions; and keeping one primary motion per shot to avoid a fake look.
The author notes these techniques are tool-agnostic. While they used Krea 2 and LTX 2.3, they apply to any model or LoRA workflow. The original post was compiled into a 15-chapter PDF covering story structure, lighting/color psychology, cinematography language, prompt checklists, and resource appendices.
Related event: AI Video Creation Shifts to Director-Driven Workflow(2 posts)→
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