Expired50% confidenceReleaseExact time
ComfyUI-INT4-Fast is a custom node package that brings INT4 (W4A4) quantized inference into the ComfyUI ecosystem, enabling even a 6GB VRAM RTX 3060 to run Flux-based Krea2 Turbo models.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/12/2026
First Seen
Valid until: 10/10/2026(expired)
Sources
ComfyUI-INT4-Fast：6GB显卡流畅运行Flux大模型实测
redditr/StableDiffusion7/10/2026
Related Claims
UnverifiedComfyUI-INT4-Fast was independently improved upon BobJohnson24's ComfyUI-INT8-Fast, and relies on comfy-kitchen under the hood to invoke the GPU's Tensor Cores.69% similarUnverifiedComfyUI-INT4-Fast supports native mixed-precision checkpoints, determining the compute path at per-layer granularity: backbone modules are routed to INT4 Tensor Cores, while sensitive layers (patch projection) are directed to Triton's INT8 execution path in INT8 format.64% similarUnverifiedA developer has converted several mainstream image models to INT4 ConvRot W4A4 format and adapted them for the latest version of ComfyUI.63% similarUnverifiedTFT_eSPI is a high-performance Arduino graphics library developed by Bodmer, deeply optimized for the ESP8266 and ESP32 platforms, supporting over 40 TFT driver chips and featuring built-in Sprite functionality.63% similarUnverifiedThe RTX 6000 Ada's fourth-generation Tensor Cores support FP8 precision computation.62% similar
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