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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
Search: #kfunc
@aigcrubbish · Post #158 · 01/27/2026, 05:06 PM
[$] Implicit arguments for BPF kfuncs Linux 内核的 kfunc 机制允许 BPF 程序直接调用内核函数。目前内核中有超过 300 个 kfunc，功能涵盖字符串处理（如 `bpf_strnlen()`）到自定义调度器（如 `scx_bpf_kick_cpu()`）等。 有时，这些 kfunc 需要访问 BPF 程序无法直接获取的上下文信息，因此无法通过参数传递。Ihor Solodrai 提交的“隐式参数”补丁集旨在解决这个问题，它允许 kfunc 隐式地接收额外的上下文参数。 原文链接：https://lwn.net/Articles/1055559/ #Linux#内核#BPF#kfunc #AIGC Read more