comfyui-workflows/optimized/text-to-video/minimax-h3-3070-turbo-master

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