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1038lab /ComfyUI-MiniMax-H3-Promptor

Writes MiniMax H3 video prompts from your images, video and audio
ComfyUI workflowGPL-3.0English README
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241
30 days
0
Last push
19 days ago
ComfyUI-MiniMax-H3-Promptor screenshot from its README
From the ComfyUI-MiniMax-H3-Promptor README on GitHub.

About ComfyUI-MiniMax-H3-Promptor

These ComfyUI nodes write MiniMax H3 video prompts for you. H3_Vision reads your images, video and audio once, then H3_Promptor turns that report into a structured prompt. Cloud providers need paid API keys, and local Qwen models need a second node pack.

Best for: Prompt writers who want cinema-style MiniMax H3 prompts without re-reading their media on every run.

What it does

  • Reads up to 9 images, 3 videos and 3 audios in one H3_Vision node
  • Picks the task mode for you from the media you connect (T2V, I2V, L2VA and more)
  • Writes a shot list paced to a length you set, from 4.0 to 15.0 seconds
  • Composes prompts by hand with 8 official task-mode starters and @ tag menus
  • Refines one shot, subject or section with AI, then restores the old version
  • Unloads local models from VRAM after each run so video generation doesn't crash

Quickstart

Rewritten from the README. Check the repo for the latest steps.

  1. 1
    Install the node pack into your ComfyUI custom_nodes folder and restart ComfyUI.
  2. 2
    Open the settings panel (gear icon) and set up your LLM providers and API keys.
  3. 3
    Add the H3_Vision node, connect or drag in your images, videos and audio, then pick a provider.
  4. 4
    Add the H3_Promptor node, connect the VISION_CONTEXT output, write your scene description and set the duration.
  5. 5
    Leave task_type on Auto, or force a mode such as L2VA, and choose English or Chinese output.
  6. 6
    Optionally open H3_PromptComposer or H3_PromptEditor to refine the prompt before sampling.

Models and languages

Models it works with

  • MiniMax H3
  • Claude
  • GPT-4o
  • Gemini
  • DeepSeek
  • Qwen-VL
  • Ollama
  • LM Studio
  • llama.cpp

Interface and docs

  • English
  • Chinese

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Reviewed Oct 1, 2026. We write these descriptions ourselves. The repo's own docs are the final word.