metadata
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.
| 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 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.