W4A8_mixed models quantized by me. (Makes my mixed int4 models obsolete) True int4 model size with int8 activations, near int8 quality, same speed as int8. For RAM/VRAM-constrained systems. Update to latest comfyui for asym_w4a8 support 25/06/2026 UPDATE - Replaced the models with versions that work with the new native implementation of INT8 in comfyui, for use with the native Load Diffusion Model node, Make sure you update you ComfyUI (Still works with the custom node but using native loads the model a bit faster for me) Simple workflow Embeded into images Krea 2 Int8 ConvRot quant. For use in ComfyUI with <a target="_blank" rel="ugc" href="https://github.com/BobJohnson24/ComfyUI-INT8-Fast">https://github.com/BobJohnson24/ComfyUI-INT8-Fast</a> or any other INT8 Custom node Krea 2 is licensed under the Krea 2 Community License Agreement. For more information, visit <a target="_blank" rel="ugc" href="https://krea.ai/krea-2-licensing">https://krea.ai/krea-2-licensing</a>.

Krea2 Turbo/Raw INT8/INT4

Full int4 quantization with int8 activation, achieves near int8 quality with int4 model size

Files with SHA256: cdc627d39dc9bc29fc6718fd55ef1a268241d2c36fdda06ab0064ae85e414557