MiniMax-H3-Lora

About

What MiniMax-H3-Lora is

MiniMax-H3 Turbo LoRA — few-step audio-video generation A LoRA for MiniMax-H3 that renders joint video + synchronized stereo audio in as few as 4 sampling steps instead of the usual ~20 — a ~5× sampling speedup — and keeps getting better as you add steps. Which checkpoint — v4 (step 600) or v1 (850)? For most work, use minimaxh3turbov4step600ema.safetensors. It's the strongest checkpoint we've released: much better static and small-motion shots, markedly better micro-detail (faces, fingers, fine texture), and the over-sharpening / plastic look of the earlier v1 (~850) line is fully resolved. v4 introduced a static-frame enhancement — a big win for static and small-motion content. The one trade-off shows up only at 4 steps with large, fast motion, where v4 can produce motion-smear / trailing ghosting (we're actively fixing this). Two things address it: - Use 6–8 steps. This largely removes the smear and is where v4 looks its best. v4 also tolerates higher step counts better than v1, which tends to over-sharpen at high steps + strength 1.0. - For the specific case of 4 steps and heavy motion, the older v1 ~850 checkpoint can still be the friendlier pick. Still a preview — training continues; the two areas still being improved are audio and behaviour under fast, intense motion. Steps and strength — read this - 4 steps is the recommended minimum; 4–8 is the useful range. 6–8 steps look noticeably better than 4, so add steps if you can afford them. Past 8 steps it stops helping and can start to introduce over-sharp artifacts — there's no benefit to going higher, so stay in 4–8. - Keep strength at 1.0. It's tuned for 1.0 and holds up well across the 4–8 step range. Only reach for the strength dial if a specific clip misbehaves — then blurry ghosting / smear → nudge up (~1.05–1.2), over-sharp grain → nudge down (~0.8–0.95). - Keep the scheduler on simple. Use it in ComfyUI (recommended) Custom nodes: Larryvrh/ComfyUI-MiniMax-H3-Turbo — or search "MiniMax-H3 Turbo" in ComfyUI-Manager. (Keep the node updated; it evolves alongside these weights.) 1. Install the nodes (Manager, or git clone into ComfyUI/customnodes) and put a .safetensors from this repo into ComfyUI/models

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How video models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys minimax-h3-lora for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (minimax-h3-lora below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minimax-h3-lora","prompt":"a drone shot over a forest"}'

Details

Languages, data & research

Licence

Open weights

Sources

Weights & code

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