These models are quantized INT4 Convrot W4A4 for latest ComfyUI. It has somewhat inferior image quality than BF16/GGUF Q8/INT8 Convrot but fast in Ampere(RTX30x0)/Ada Lovelace(RTX40x0)

Original models that I used:

For Krea2 models and Qwen-Image-Edit 2511, Since they are already quantized INT4 ConvRot W4A4 by LAXMAYDAY, I fixed keys of those models to convrot_w4a4 for working on official ComfyUI.

That python script I created used ChatGPT 5.6 Sol is convert_int4_tensorwise_to_convrot_w4a4.py.

The rest of them are used Starnodes Model Converter, made by Starnodes2024, quantized from BF16 models https://github.com/Starnodes2024/comfyui-starnodes-modelconverter

convert_int4_tensorwise_to_convrot_w4a4.py Script usage (not so useful because I already converted and uploaded)

Not actual convert, but test run

  • python convert_int4_tensorwise_to_convrot_w4a4.py model.safetensors --dry-run

Save to new model(convrot_w4a4 model for ComfyUI)

  • python convert_int4_tensorwise_to_convrot_w4a4.py model.safetensors model_convrot_w4a4.safetensors *default output name: 'model.convrot_w4a4.safetensors'

Overwrite original model

  • python convert_int4_tensorwise_to_convrot_w4a4.py model.safetensors --in-place

Overwrite existing file

  • python convert_int4_tensorwise_to_convrot_w4a4.py model.safetensors model_convrot_w4a4.safetensors --force

Keep original scale scape [N,1]

  • python convert_int4_tensorwise_to_convrot_w4a4.py model.safetensors --keep-scale-shape

If that model doesn't have "convrot: true", but it's convrot_w4a4 model:

  • python convert_int4_tensorwise_to_convrot_w4a4.py model.safetensors --assume-convrot

*WARNING: If you convert non-ConvRot int4_tensorwise model, it should be MALFUCTIONS!

Can convert these models for official ComfyUI:

License

Qwen-Image, Qwen-Image-Edit, FireRed-Image-Edit, Qwen2.5-VL, Qwen3, Qwen3-VL: Apache 2.0

Krea2: Krea 2 Community License

FLUX.2 Klein 9B: FLUX Non-Commercial License

convert_int4_tensorwise_to_convrot_w4a4.py: MIT

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