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Generation, training and LoRA distribution on Civitai are covered by Civitai’s own license agreement with MiniMax. If you download these weights and run them yourself, your use is instead governed by the MiniMax H3 Community License Agreement, whose grant excludes the European Union, the United Kingdom, the Republic of Korea and the United States of America.
MiniMax H3
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 3.6
No API needed.
Purpose: To make user prompt conform with MiniMax official prompting guide.
Local VLM node accepts: 3 images, 1 video, 1 audio Multiple images, videos and audio after recent update.
Choose 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-gguf
ComfyUI_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.
cmd
cd /d C:\StabilityMatrix\Data\Packages\ComfyUI\venv\Scripts\
python.exe -m pip install ???.whl
ComfyUI-SolAttn_triton
Comfyui kitchen attention seems faster.