Text-to-Video vs Image-to-Video: A 3-Week Workflow Lesson
AcrobaticEstimate686 · reddit · 2026-07-30
The author shares lessons from spending three weeks on AI video generation, highlighting that Text-to-Video and Image-to-Video solve fundamentally different problems:
- Text-to-Video: Great for standalone conceptual clips, but fails completely at maintaining character consistency across multiple scenes.
- Image-to-Video: The breakthrough for character continuity. The workflow involves generating a perfect still portrait first, locking the face, and then feeding that exact image into a video generator for animation.
After failing to recreate the same character across clips using text prompts, the author switched to this new workflow. They used APOB AI to lock the face across source stills before animating them, and CapCut for final editing. Although motion generation still suffers from frame-by-frame expression drift requiring multiple retakes, generating stills first ensures a sequence that actually cuts together coherently.
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