# MiniMax H3 Turbo GGUF I2VA

## Summary

`MiniMax H3` image-plus-audio-to-video workflow from the same-day `ChrisColeTech` turbo GGUF repo.

## Model Family

- `minimax`

## Status

- `imported-only`

## Source

- Model card: <https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF>
- Workflow file: <https://huggingface.co/ChrisColeTech/minimax-h3-turbo-GGUF/resolve/main/workflow_example/minimax_h3_turbo_i2va.json>
- Original publisher: `ChrisColeTech`
- Date imported: `2026-08-18`

## Developer notes

- The source repo says this is a turbo merge with the `FL2VA` and `REF2VA` pruned DiTs baked into a GGUF package.
- The workflow uses the `Q6_K` turbo GGUF path in the source JSON, but the repo also ships other quantized variants.
- The workflow includes an audio decode path plus an `EmptyMiniMaxH3LatentAV` node, so this is the audio-aware MiniMax lane rather than a plain T2V demo.

## Our notes

- This is the most useful same-day MiniMax workflow source I found because it is real, importable, and clearly aimed at lower-memory local testing.
- On an `RTX 3070` with `8 GB` VRAM it is still tight, but the workflow's bundled Q4/Q6/Q8 split files make it a better practical bet than a raw full-precision stack.
- If you want a fast MiniMax test that is not just a model dump, this is the one I would open first.

## Required custom nodes

- `CCTechClipProjLoader`
- current MiniMax H3 ComfyUI support

## Required models

- `minimax_h3_fl2va_turbo_Q6_K.gguf`
- `qwen3vl_8b_fp8_scaled.safetensors`
- `mmh3-8b-ClipProj-v3-mlp.safetensors`
- `minimax_h3_video_vae_fp16.safetensors`
- `minimax_h3_audio_vae_fp32.safetensors`

## Notes

- Best same-day workflow import from Hugging Face today.