8 and 4-step MiniMax-H3 PTD Ref2VA Acceleration LoRAs

I am not associated with the project in any way. Not sure if this will work with the regular ComfyUI LoRA loader. We apply PTD (Parametric Trajectory Distillation) to MiniMax-H3, distilling the Ref2VA (reference-image → video + audio) trajectory into a few-step student. We release an 8-step and a 4-step accelerator for the Ref2VA task. Unlike a single shared acceleration LoRA, PTD trains one independent low-rank adapter per inference step ("per-hop" LoRA) on the diffusion backbone, on top of the per-interval output heads introduced by Parallel Decoding Distillation (PDD). At inference, each denoising step selects its own hop's adapter and fuses that step's output head, so an 8-hop checkpoint runs in 8 transformer evaluations (NFE) and a 4-hop checkpoint in 4. submitted by /u/Apprehensive_Sky892 [link] [comments]

Source: r/StableDiffusion | 2026-10-22