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ariaotp/INT4-ConvRot-W4A4-ComfyUI
INT4-ConvRot-W4A4-ComfyUI is a machine learning model from ariaotp. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
For non-INT4 models, go to https://huggingface.co/ariaotp/int8-ComfyUI instead.
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Updated Jul 21, 2026
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From the Hugging Face model README
For non-INT4 models, go to https://huggingface.co/ariaotp/int8-ComfyUI instead.
These models are quantized INT4 Convrot W4A4 for ComfyUI 0.28.0 or later. 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 Or quant_int8_convrot.py of ComfyUI's official ComfyUI model tools https://github.com/Comfy-Org/comfy-model-tools
convert_int4_tensorwise_to_convrot_w4a4.py Script usage (not so useful because I already converted and uploaded)
Not actual convert, but test run
Save to new model(convrot_w4a4 model for ComfyUI)
Overwrite original model
Overwrite existing file
Keep original scale scape [N,1]
If that model doesn't have "convrot: true", but it's convrot_w4a4 model:
*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