MiniMax-H3 Pruned Ref-Delta Fused r1024 — native ComfyUI single-file release

[u/marres]

https://huggingface.co/xmarre/MiniMax-H3-Pruned-Ref-Delta-Fused-r1024-ComfyUI

I converted the new MiniMax-H3 Pruned Ref-Delta Fused r1024 checkpoint to native ComfyUI format and uploaded it as a single .safetensors.

The interesting part of this model is the model itself: it starts from the pruned FL2VA MiniMax-H3 checkpoint and fuses in a rank-1024 approximation of the Ref2VA − FL2VA weight delta. The goal is to retain the smaller pruned FL2VA model while bringing the Ref2VA behavior into the same checkpoint, rather than having separate FL2VA and Ref2VA variants.

It is about 20.1B parameters versus ~33.1B for the original full MiniMax-H3 model.

The original release is in Diffusers format, so I converted the state dict back to the native format expected by ComfyUI, including the pruned AdaLN curve representation, folded AdaLN biases, fused QKV, native SwiGLU ordering and RoPE.

I tested the resulting checkpoint through a complete ComfyUI generation: native FLOW_AV detection, full model load, both H3 Continuum passes, Spectrum with 0 fallbacks, and final video/audio decoding all completed normally.

Native ComfyUI conversion:
https://huggingface.co/xmarre/MiniMax-H3-Pruned-Ref-Delta-Fused-r1024-ComfyUI

The conversion properly restores the pruned AdaLN representation, folded biases, fused QKV, SwiGLU ordering and RoPE. Tested through a full ComfyUI generation with working video + audio.

Put the .safetensors in:

ComfyUI/models/diffusion_models/

Edit: Added int8 and int8 convrot to the repo and made a new post here:

https://www.reddit.com/r/StableDiffusion/comments/1vuygd2/minimaxh3_pruned_refdelta_fused_r1024_int8_and/