nyxia/H3-Loras

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.