Files
comfyui-workflows/models/minimax/minimax-h3-seamless-chain-v2

MiniMax H3 Seamless Chain v2

Summary

Same-day MiniMax-H3 multishot workflow from joeygambino. This is the full graph, not the CORE cut-down version: it adds the LLM prompt lane, remote text encoder support, raw-latent continuity, and the speed/VRAM helper switches.

Model Family

  • minimax

Status

  • imported-only

Source

Developer notes

  • The source README says the full pack adds Motion-Context, RES4LYF, sol-attn, block cache, custom scripts, and GGUF support on top of the base H3 pack.
  • The workflow is built around the ComfyUI-H3-Multishot node pack and the same MiniMax-H3 weight family used by the CORE workflow.
  • The prompt-writer lane expects a qwen3:14b-class local or remote OpenAI-compatible endpoint if you keep it enabled.

Our notes

  • This is the more interesting same-day MiniMax import if you want the full feature set and are willing to pay for it in complexity.
  • On an RTX 3070 8 GB, this is a heavy workflow, but the memory and remote encoder options are the kind of practical extras that make it worth keeping.
  • If you want the simpler starting point, the CORE workflow is still the cleaner local baseline.

Required custom nodes

  • ComfyUI-H3-Multishot
  • ComfyUI-H3-Motion-Context for the context-pin lane
  • RES4LYF
  • ComfyUI-sol-attn
  • comfyui-minimax-h3-blockcache-T8
  • ComfyUI-Custom-Scripts
  • ComfyUI-GGUF if you run GGUF weights

Required model files

  • MiniMax-H3 weights from Comfy-Org/MiniMax-H3
  • matching MiniMax-H3 text encoder and audio/video VAEs from the same family
  • optional qwen3:14b-class prompt-writer model or endpoint if the LLM lane stays enabled

Notes

  • Load workflow.json directly in ComfyUI.
  • Best kept as the full-feature reference for MiniMax H3 multishot work.