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)
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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: * Krea2 Turbo: * Krea2 Raw: * Qwen-Image-2512: * Qwen-Image-Edit-2511: * FireRed-Image-Edit 1.1: * FLUX.2 Klein 9B: * Qwen2.5-VL 7B: (Qwen2.5-VL-7B-Instruct-abliterated): (Needed for Qwen-Image and FireRed-Image-Edit) * Qwen3 4B (Huihui-Qwen3-4B-abliterated-v2): (Needed for Z-Image and FLUX.2 Klein 4B) * Qwen3 8B (Huihui-Qwen3-8B-abliterated-v2): (Needed for FLUX.2 Klein 9B) * Qwen3-VL 4B (Huihui-Qwen3-VL-4B-Instruct-abliterated): (Needed for Krea2) * Qwen3-VL 8B (Huihui-Qwen3-VL-8B-Instruct-abliterated): (Needed for Boogu-Image and Ideogram4) 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 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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3 excerptstags: comfyui int4 convrot w4a4 krea2 qwenimage fireredimageedit qwen25vl qwen3 qwen3vl 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…
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)
ariaotp/INT4-ConvRot-W4A4-ComfyUI