Most successful MiniMax H3 reference-to-video prompt structure so far (3 img + 1 vid example)

Key points

• When you feed the local ComfyUI node casual prose or mismatched tags, the Qwen3-VL text encoder fails to bind your reference slots to the diffusion layers, causing the swap to break or blend identities.1
• For a three-image, one-video character replacement, the model expects <Picture 1>, <Picture 2>, and <Picture 3> to be unified under a single reusable character alias (<Subject 1>), while the person being replaced in <Video 1> is isolated as <Subject 2>.1
• Copy and paste the exact prompt structure below into your text node, replacing only the bracketed physical descriptions with concrete visual traits of your character, the original performer, and the action in the clip:1
• For the cleanest result when connecting your three images to MiniMaxH3ReferenceToVideo, wire your clearest close-up face/headshot into refimage1 (<Picture 1>), your full-body front view showing the outfit into refimage2 (<Picture 2>), and your side or three-quarter angle into refimage3 (<Picture 3>).1

Sources (1)

• [1]Most successful MiniMax H3 reference-to-video prompt structure so far (3 img + 1 vid example)
  r/StableDiffusion (top, day) · Oct 18, 02:55 AM

  The official open-weights MiniMax H3 (Ref2VA) model was trained on a rigid six-section schema (subject_definitions, summary, retention_analysis, detailed_description, overall_soundscape, non_diegetic_music) paired with exact angle-bracketed asset tags (<Picture 1>, <Picture 2>, <Picture 3>, <Video 1>, <Audio 1>) and internal entity aliases (<Subject 1>, <Subject 2>).

  When you feed the local ComfyUI node casual prose or mismatched tags, the Qwen3-VL text encoder fails to bind your reference slots to the diffusion layers, causing the swap to break or blend identities.

Extractive summary: sentences quoted from the sources.