nkxx188/ComfyUI-MiniMaxH3-Easy
The easiest way to use MiniMax H3. One compact workflow for T2V, I2V, first/last-frame, and reference video generation, with a unified multi-media input, powerful @ references, and inline dialogue blocks. Less wiring. More creative control.
What it solves
This project simplifies the use of MiniMax H3 for video generation in ComfyUI. It replaces complex manual setups with a unified node suite that handles text-to-video, image-to-video, reference-based generation, and digital human creation, while providing advanced tools for managing media assets and generating long-form content through connected segments.
How it works
The suite provides a streamlined workflow where a single main node handles multiple generation modes. It introduces a Media Loader for visual management of images, audio, and video, and a Context Segments system that breaks long videos into shots. Each segment can have its own prompt and media references, while maintaining continuity through various modes (Motion Context, RGB Guide, or AV Prefix).
To reference media within prompts, the system uses an @ symbol (e.g., @Image1), which the node converts into the required H3 tags at runtime. It also includes a built-in prompt optimizer that can use LLMs (via OpenAI, Gemini, or Ollama) to expand ideas into structured, multi-segment scripts.
Who it’s for
ComfyUI users who want a more intuitive, less cluttered interface for MiniMax H3 video generation, particularly those creating complex, multi-shot videos or digital humans with synchronized audio.
Highlights
- Unified Generation Node: One node for text, image, first/last frame, reference, and digital human modes.
- Visual Media Management: A dedicated loader for dragging, pasting, and caching decoded video references to speed up preparation.
- Long Video Continuity: Tools to generate connected segments with configurable continuity modes to ensure visual and audio consistency across shots.
- @ Media Referencing: Direct insertion of media assets into prompts using a simple mention system.
- Per-Segment Refinement: Built-in options for Pixel Resize and 3D Latent Upscaling to improve quality on a per-shot basis.
- LLM-Powered Prompt Optimization: Integrated support for multiple LLM providers to automatically generate or refine segment-specific prompts.
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