license: apache-2.0
base_model: MiniMaxAI/MiniMax-H3
tags:
- lora
- minimax-h3
- text-to-video
- audio-video
H3 LoRAs
Mirrors of the LoRAs our MiniMax-H3 engine depends on, so production never depends on an upstream repo staying available.
minimax_h3_turbo_v4_step600_ema.safetensors
Verbatim copy of larryvrh/MiniMax-H3-Turbo-Lora
(Apache-2.0), file minimax_h3_turbo_v4_step600_ema.safetensors. Not modified,
not requantised, not re-keyed.
Few-step audio-video sampling. 518 tensors, bf16, ~744 MB, rank 64 (16 on the
AdaLN projections), applied as W_eff = W + lora_B @ lora_A with no alpha term.
Measured on our int8_convrot base (nyxia/H3, pinkcherry FL2VA) on an H100,
2026-08-10, 124 frames @ 24 fps:
| base, 50 steps (49 evals) | 20:40 |
| + this LoRA, 7 steps (6 evals) | 4:24 |
Same seed, same conditioning frame, same prompt; output quality judged equal. Per-step cost rises ~7% (the low-rank branch runs unmerged, since the base is int8 and merging would cost a dequantise/requantise round trip).
Keys are in ComfyUI naming, so it does NOT load through PEFT
add_adapter(); it goes through the translation in
ai-engines-h3/src/ai_engines_h3/lora.py.
Upstream also publishes a v1 line (..._4step_ema_ckpt850) which their card
calls friendlier for 4-step heavy motion. Not mirrored yet.