| --- |
| 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`](https://huggingface.co/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. |
|
|
