# MiniMax H3 3070 Turbo Master

## Summary

Best current `MiniMax H3` speed-first starter for local text-to-video tests.

This master is built from the community Turbo LoRA workflow because standard MiniMax paths are too expensive to be the first serious attempt on a `3070`.

## Status

- `best-current`
- `not-yet-tested-on-chris-box`

## Workflow asset

- `workflow.json`

## Built from

- `models/minimax/minimax-h3-turbo-lora-community/`

## Why this is the current master

- Explicitly optimized for lower step count
- Much more aligned with your hardware than generic official baselines
- Clear developer guidance exists for key settings

## What I intentionally kept

- Turbo LoRA route
- `8`-step recommendation from the source notes
- `euler` sampler direction
- MiniMax acceleration helpers already wired in the graph

## What I intentionally did not add yet

- INT8 reference-video complexity from the separate community workflow
- extra latent upscale stages
- broad claims that MiniMax beats `LTX` before we see real results

## Required custom nodes

- MiniMax-compatible Comfy support
- `ComfyUI-KJNodes`-style helper nodes present in the graph
- optional acceleration stack may include SageAttention, Sol Attention, Gradient, and Spectrum support

## Expected source model route

- Turbo LoRA source notes recommend:
  - `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
  - `8` steps
  - `euler`
  - `beta`
  - LoRA strength `1.0`

## Monday test checklist

- Confirm whether all MiniMax helper nodes resolve.
- Try the source-recommended settings before changing anything.
- Judge whether this is merely "possible" or actually practical on your box.

## Next optimization candidates

- merge proven low-VRAM ideas from the INT8 R2V workflow
- split out an `image-to-video` MiniMax master if the family proves worth keeping