Base MinimaxH3 (Turbo Merge)

This model is unchanged/untrained from the base model listed. The model was quantized from the source FP32/BF16 model. BOTH THE FL2VA and REF2VA models are 8 step models.

Requirements:

1. Update CUDA to 13.4.2

2. Update Pytorch to 13.2

3. Update at minimum comfy-aimdo, comfy-kitchen

4. Basic workflow shows how to use both first frame text guided and first frame last frame with comfy kitchen backend node to speed up generation by 60% (This prevents pyattention fallback which is slow)

pytorch version: 2.13.0+cu132

xformers version: 0.0.35

Using xformers attention

ComfyUI version: 0.35.0

comfy-aimdo version: 0.5.5

comfy-kitchen version: 0.2.34

Consider --disable-dynamic-vram if you are having OOM issues after a few generation or crash when trying to use comfy kitchen vs pyattention

Note: INT Convrot Group size is 64 vs 256 on the comfy supplied models

NF4 version of the reference to video/audio model works but the quality is very low