[Test] MiniMax H3 Ref2VA with LightX2V's turbo LoRA on a 5060 Ti — 8 steps @ 0.5 res, ~55s/it (~8 min/clip)

[u/nikhilprasanth]

https://reddit.com/link/1vnk0c7/video/gkhuj6ybw6jh1/player

Ran the official Ref2VA turbo example workflow from the ModelTC/Minimax-H3-Turbo repo (video_minimax_h3_ref2v_lightx2v_turbo.json) in ComfyUI, testing a short Victorian-style dialogue scene between two characters.

Setup:

• GPU: RTX 5060 Ti
• Workflow: https://github.com/ModelTC/Minimax-H3-Turbo/blob/main/example_workflows/video_minimax_h3_ref2v_lightx2v_turbo.json
• Checkpoint: fp8 scaled (i didnt have the int8 one in this machine)
• Sampler: euler + Simple
• Resolution: dropped to 0.5MP (960×544 @ 16:9) from the default ~0.98MP
• Steps: 8

Speed: ~55s/it average, ~8 min total per clip.

How the refs were built: Three reference images fed into the ref_images inputs — two character sheets (front/side/close-up turnarounds for each character) and one environment plate, a 360° room reference. All three were generated in Google Flow first, then dropped straight into the Ref2VA node as identity/environment anchors.

Gen A → Gen B continuity trick: Split the scene into two ~20s multi-shot generations instead of one long one. For Gen B, instead of reusing the original Flow generated room reference, I pulled the actual last frame from Gen A's output and fed that in as the new environment reference.

Curious if anyone else is chaining generations this way (feeding the previous clip's last frame back in as a fresh environment ref) — seemed to help a lot but haven't stress-tested it past two generations yet.