ComfyUI Native INT8 ConvRot Fix (No more KeyError: 'int8_rowwise')

If you tried using several INT8 ConvRot versions of this model available on others platforms in ComfyUI (v0.27.0+), you probably encountered a nasty crash: KeyError: 'int8_rowwise'.

Why did that happen? Early experimental quantization scripts generated files using row-wise scaling. However, ComfyUI's native INT8 implementation only supports tensor-wise scaling out of the box (int8_tensorwise). Even custom loaders like KJNodes bridge back to Comfy's native core, causing an instant pipeline crash.

What this version fixes: I re-quantized the official BF16 model from scratch using the official parameters, strictly forcing --scaling_mode tensor.

How to use it:

1. Drop this .safetensors file into your ComfyUI/models/diffusion_models/folder.

2. Load it natively using the standard Load Diffusion Model.

3. No custom nodes required! Enjoy massive VRAM savings and FP16-like image quality natively on your GPU.

Works with Sage Attention too for more speed!