# MiniMax H3 INT8 R2V

## Summary

Same-day `MiniMax-H3` reference-to-video workflow from `javawock7618`. This is the MiniMax drop to watch if you care most about keeping a subject stable from a reference image while still getting motion and camera movement.

## Model Family

- `minimax`

## Status

- `imported-only`

## Source

- Workflow pack page: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows>
- Workflow file: <https://huggingface.co/javawock7618/comfy-MiniMax-H3-workflows/resolve/main/MiniMax_int8_R2V-javano2608.12.json?download=true>
- Original publisher: `javawock7618`
- Date imported: `2026-08-11`

## Developer notes

- The source README positions this as the reference-guided workflow in the pack.
- It is built around INT8 inference plus the `ComfyUI-H3-Motion-Context` and `ComfyUI-Spectrum-MiniMax-H3` ecosystem.
- The pack also recommends `ComfyUI-MiniMaxH3_LatentUpscaler` for post-upscale.
- The R2V lane requires `minimax_h3_ref_lora_rank_256_bf16.safetensors` from `Kijai/MiniMax-H3-experimental`.

## Our notes

- This is the most directly useful MiniMax reference-control item from today.
- On a 3070 it is still heavy, but it is the kind of workflow that could actually be worth testing if you want stronger subject hold than a generic video model.
- Better fit than a novelty demo because it is explicit about the reference LoRA and the supporting nodes.

## Required custom nodes

- `ComfyUI-Spectrum-MiniMax-H3`
- `ComfyUI-H3-Motion-Context`
- `ComfyUI-MiniMaxH3_LatentUpscaler`

## Required models

- `Comfy-Org/MiniMax-H3`
- `minimax_h3_ref_lora_rank_256_bf16.safetensors` from `Kijai/MiniMax-H3-experimental`

## Notes

- Lightx2v LoRA and Turbo-LoRA are optional, but the source pack treats them as useful accelerators.
- This is the MiniMax workflow I would try before the more novelty-leaning releases.