VEDA Sparse Attention Models to get x1.7-x2 boost speed
custom node https://github.com/veda-sparse/Veda-on-ComfyUI. That node also is in Manager
- [minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors](https://huggingface.co/Veda-Sparse/Minimax-H3-T2VA-Veda-8NFE-600Step-Preview/resolve/main/minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors)
- [minimax_h3_r2va_veda_preview_fp8.safetensors](https://huggingface.co/Veda-Sparse/Minimax-H3-R2VA-Veda-Preview/resolve/main/minimax_h3_r2va_veda_preview_fp8.safetensors)
File save location
ComfyUI/
│ ├───📂 models/
│ │ └─── 📂 veda/
│ │ └─── minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors
│ │ └─── minimax_h3_r2va_veda_preview_fp8.safetensors
All models download from https://huggingface.co/Comfy-Org/MiniMax-H3/tree/main
Heretic Text Encoder int8- https://huggingface.co/ethanfel/Qwen3-VL-32B-Ultra-Heretic-H3-ComfyUI-INT8-ConvRot/tree/main
Heretic Text Encoder nvfp4 - https://huggingface.co/sakamakismile/Qwen3-VL-32B-Heretic-MiniMax-H3-NVFP4/tree/main
My ComfyUI Build - https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.14.0_cu130_cp313_sageattention_triton
My NSFW TG Channel - https://t.me/stefanfalkokmoth
My TG Channel - https://t.me/StefanFalkokAI
My TG Chat - https://t.me/+y4R5JybDZcFjMjFi
Description
Added AGSoft Minimax H3 Cache Node to get 20% speed boost without much loss of quality (best cache I've ever used)
Added VRAM + RAM Cleaning nodes
UPD on 08.09.2026
Added more references inputs in Ref2video workflow
Added kitchen attention option
UPD on 13.09.2026
Added optional workflow for Face Refine