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)

Set Veda Settings like this to get stable results and avoid random flashes. Works with FL2VA and Ref2VA

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