MiniMax H3 Turbo LoRA v4: 2-Step Audio-Video Generation

ComfyUI Wikinews

The v4 step-600 Turbo LoRA distills MiniMax H3 audio-video generation to 2-3 sampling steps, with updated ComfyUI nodes supporting pruned checkpoints and a bundled workflow.

larryvrh released v4 of the MiniMax H3 Turbo LoRA, and the few-step race keeps accelerating: the new minimax_h3_turbo_v4_step600_ema.safetensors checkpoint renders natively at 3 steps, and community tests pushed a working 2-step pass with clean audio (Hugging Face). It replaces the earlier ckpt500 / ckpt850 files as the recommended default, with markedly better micro-detail and the over-sharpened "plastic" look of the earlier v1 line fully resolved.

MiniMax H3 Turbo LoRA v4 example frame

Example output shared in the Turbo LoRA conversion repository (drbaph)

What's new in v4

The v4 release is a new training recipe rather than just another step count. At 600 training steps it is the strongest checkpoint larryvrh has published so far:

  • Static-frame enhancement — a big win for static and small-motion content
  • Better micro-detail — faces, fingers and fine texture read more cleanly
  • No more over-sharpening — the earlier v1 (~850) line's plastic look is gone

The one trade-off shows up only at 4 steps with large, fast motion, where v4 can produce motion-smear / trailing ghosting. Using 6-8 steps largely removes it; for the specific case of 4 steps plus heavy motion, the older v1 (~850) checkpoint remains the friendlier pick. The v4 line also tolerates higher step counts better than v1, which tends to over-sharpen at high steps with strength 1.0.

Steps and settings

The README recommends 4-8 steps (4 is the minimum, 6-8 look noticeably better), strength 1.0, and the simple scheduler. Community testing in the MiniMax H3 Discord landed on a similar sweet spot at 0.6-0.8 strength with 6-10 steps, and confirmed that the 2-step pass works with audio intact (video output is a bit softer). Training continues, with audio and fast-motion behaviour flagged as the two areas still being improved.

ComfyUI usage

The updated ComfyUI-MiniMax-H3-Turbo custom nodes now cover every base model: one LoRA file works with the full bf16 / int8 checkpoints and the pruned curve-form variants — the node auto-detects a pruned base and re-injects the time-conditioning at run time. A low_vram switch merges the LoRA into the weights for the lowest peak VRAM, and the bundled MiniMax-H3 Turbo Sampler auto-adapts to your ComfyUI version (recent builds handle the dual video/audio flow schedules natively via ModelSamplingAV, older builds use the node's own path).

A ready-made text-to-video workflow ships in the node repo:

Pruned checkpoints (drbaph)

For ComfyUI's built-in MiniMax-H3 LoRA loader, drbaph published pruned-model conversions of the v4 weights at MiniMax-H3-Turbo-Lora-ComfyUI: minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors (recommended) plus the non-EMA variant, with an example workflow (fl_minimax_h3_turbo_lora_example_workflow.json). His recommended starting configuration is 6-8 steps, Euler sampler, Beta scheduler, strength 1.0.

Demo output from the recommended v4 step-600 EMA workflow, shared by drbaph

Availability

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MiniMax H3 Turbo LoRA v4: 2-Step Audio-Video Generation | ComfyUI Wiki