MiniMax H3 with all Local LLM System Prompts

This workflow contains system prompts of VLM prompt enhancer for all T2VA, I2VA, L2VA, FL2VA and Ref2VA.It supports local gguf VLM models. e.g. Gemma 4, Qwen 3.6No API needed.Purpose: To make user prompt conform with MiniMax official prompting guide.Local VLM node accepts: 3 images, 1 video, 1 audioChoose a big MoE VLM model (i.e. something with -A?B) instead of a small non-MoE model.Set "cpu_moe": true to speed up VLM with limited vram. (Q8 Gemma 4 26B-A4B model needs only 6GB vram.)To set image_min_tokens for Gemma 4, follow n_ubatch > image_max_tokens > image_min_tokens. (e.g. 2240, 2240, 560)Qwen 3.6 (e.g. Q6 35B-A3B) can also be used instead of Gemma 4. Just set image_min_tokens to 1024 and n_ctx to a larger value (e.g. 16384).Custom node used:ComfyUI_Simple_Qwen3-VL-ggufComfyUI_Simple_Qwen3-VL-gguf supports 3 images, 1 video and 1 audio input. Please update to the latest nightly version. It requires installation of llama-cpp-python wheel and Nvidia CUDA Toolkit. (Comfyui's built-in CUDA might not work.)e.g.cmdcd /d C:\StabilityMatrix\Data\Packages\ComfyUI\venv\Scripts\python.exe -m pip install ???.whlComfyUI-SolAttn_tritonComfyui kitchen attention seems faster.System prompts modified from:H3_LLM_InstructionsrzgarThanks for their work. Cheers.