Reverse-engineered prompt schema unlocks reliable character swap in MiniMax H3

photobombolo · reddit · 2026-10-18

The open-weights MiniMax H3 (Ref2VA) model was trained on a rigid six-section prompt schema (subjectdefinitions, summary, retentionanalysis, detaileddescription, overallsoundscape, nondiegeticmusic) with angle-bracketed asset tags and entity aliases. Casual prose or mismatched tags make the Qwen3-VL text encoder fail to bind reference slots, breaking identity swap.

Key rules for 3-image + 1-video character replacement: unify <Picture 1-3> under one alias <Subject 1>, isolate the performer to replace as <Subject 2>, and use exact trigger keywords fullypreserved / attributetransfer / partiallypreserved in retentionanalysis to strip the original actor's look while locking choreography and scene geometry. A copy-paste template is provided.

Original post →

More from Multimodal

Multimodal channel →