---
license: other
license_name: minimax-h3-community-license
license_link: https://huggingface.co/Comfy-Org/MiniMax-H3
---

# Technical notes

Supporting documentation for
[Impact-Flow-v2](https://huggingface.co/yichengup/Impact-Flow-v2).

| | |
|---|---|
| Base model | MiniMax H3 (`fl2va` family) |
| Network | LoRA, rank 16, alpha = rank |
| Coverage | all 50 blocks · `attn.qkv_proj`, `attn.out_proj`, `mlp.fc1`, `mlp.fc2` |
| Size | 155 MB · 416 tensors |
| Training | ai-toolkit 0.13.19 · 1000 steps · 44 epochs |

## Key naming

Keys use the `diffusion_model.blocks.N.<module>.lora_A / lora_B` convention, so the adapter
loads through ComfyUI's standard LoRA path without conversion.

## Pairing notes

The demo published alongside
[minimax_h3-tyc-zs05-ltxqnorm-int8-convrot](https://huggingface.co/yichengup/minimax_h3-tyc-zs05-ltxqnorm-int8-convrot)
runs this LoRA together with a 4-step turbo adapter and a sword-combat LoRA.

A fourth adapter in that setup is a block-attenuated derivative of a third-party LoRA, and
is **not** redistributed here. For the same look, apply block-gated attenuation to any
rank-16 H3 LoRA of your own: keep blocks 35–41 at 0.5 and blocks 42–49 at 0.2.