MinimaxH3 Auto Prompter V5.1

🚀 MiniMax H3 Prompt Enhancer — V5.1 Turn simple ideas into detailed, structured prompts for MiniMax video generation.

This ComfyUI workflow is a prompt enhancer built around the official MiniMax H3 prompting guide. It helps transform short, rough ideas into clearer and more effective video prompts — without any complex LLM installation.

Supports T2VA, I2VA, FL2VA, L2VA, and REF2V workflows.

List of models: https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF/tree/main

Choose the best for your hardware. *MTP models incompatible with the Custom LLM node*

Custom nodes needed (also in comfyui manager):

• LLM Text Processor: *Must be insalled manually from here, there is a bug for that node in the node manager* https://github.com/KingManiya/ComfyUI-LLM-text-processor

• Comfyui-RMBG: https://github.com/1038lab/ComfyUI-RMBG

• rgthree-comfy: https://github.com/rgthree/rgthree-comfy

✨ What's New in V5.0-5.1

• Model upgraded to Qwen3.6 27B GGUF (smarter and faster)

• Cleaner instruction prompts

✨ What's New in V5.1

• Removed old Ref2v.

• Removed some nodes and replaced with basic comfyui nodes to reduce dependencies.

• Fixed a bug where inputing only one image in Expand concept and Ref2v sections would only output a black square.

🎯 The Goal

This workflow isn’t meant to blindly generate the “perfect” prompt for you. Instead, it gives you a well-structured starting point that you can quickly review, tweak, and customize before sending it to MiniMax.

Simple idea → Enhanced prompt → Your edits → Video generation

💡 Tip: The generated prompt is a starting point. Read through it and adjust the details, actions, camera movement, timing, and style to match your exact vision.

Feel free to use, modify, and integrate this workflow into your own projects. If you create something with it or improve the prompting method, share your results and prompting tips in the comments so the community can keep improving it!

If you use this workflow in your own workflow pack, a quick mention would be greatly appreciated. ❤️