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Source channel @githubtrending · Post #15091 · Aug 24

#python#comfyui#diffusion#flux#genai#mlsys#quantization Nunchaku is a fast and efficient engine that runs 4-bit neural networks using a special method called SVDQuant, which compresses models to use less memory and speed up processing by 2 to 5 times compared to older methods. It supports advanced AI models for tasks like high-quality text-to-image generation and image editing, working best on modern NVIDIA GPUs. You can easily install and use it with ComfyUI, and it has active community support on Slack, Discord, and WeChat. This means you can generate or edit images quickly with less computing power, saving time and resources. It also offers tutorials and example workflows to help you get started smoothly. https://github.com/nunchaku-tech/ComfyUI-nunchaku

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AIGC

@aigcrubbish · Post #201 · 02/18/2026, 05:48 PM

[$] More accurate congestion notification for TCP 更准确的 TCP 拥塞通知机制 AccECN 即将在 Linux 内核 7.0 版本中默认启用。这一机制改进了 TCP 协议中显式拥塞通知(ECN)的精度,有望提升公共和私有网络中的流量传输效率。 AccECN 通过更精细地反馈网络拥塞状况,帮助 TCP 连接更及时地调整数据传输速率,从而减少延迟和丢包。该功能已在过去几个内核版本中逐步引入,7.0 版本将默认开启以供广泛使用。 原文链接:https://lwn.net/Articles/1058666/ #网络协议#Linux内核#TCP#ECN #AIGC Read more