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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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Krebs::OutputStream

@KbsEcho · Post #556 · 08/11/2025, 11:03 AM

今天调试时被 Keystone 创了,发现一个比较奇怪的行为: 对于汇编 mov rax, qword ptr gs:[0x58] Keystone 将编码为 65 48 A1 58 00 00 00 00 00 00 00 而 GCC 会编码为 65 48 8B 04 25 58 00 00 00 主要区别在于 displacement 编码方式不同(前者选择了 64bit,后者使用的是 32bit),其实都没有错,因为这条指令本身有歧义。但坑点在于..... 1) 如果用 Capstone 反汇编 Keystone 的编码结果,将得到 movabs rax, qword ptr gs:[0x58] 可以说是 Keystone 和 Capstone 的一个不一致的地方... (也是我说 Keystone 行为奇怪的原因) 2) Keystone 的结果长了两个字节😇 3) 无法补救,因为 Keystone 不支持 NASM 语法中指定 displacement 的编码方式 mov rax, qword ptr gs:[dword 0x58] # ERROR 目前没有想到好的解决办法,只能换个汇编器,但又懒了,干脆先 dirty patch 一下罢... 🔗相关链接 https://github.com/keystone-engine/keystone/issues/430 https://scz.617.cn/misc/201811071803.txt #Assembly

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叮噹貓iOS资源/限免/脚本分享频道

@ddm1023 · Post #916 · 12/26/2023, 09:52 AM

#脚本#QuantumultX#Loon#Surge#Shadowrocket#Stash#Crack#图像 ✅#Assembly 👤 脚本作者: @ios151 📌 脚本功能: 解锁永久会员 💳 特别说明: 一次性解锁 ⬇️ 下载地址: 点我下载 🔗 脚本链接: 点我复制 和Persona同脚本 🔄 脚本转换: 点击传送 ✈️导航💬群组🤖投稿🎁福利

Crypto M - Crypto News

@CryptoM · Post #64846 · 04/10/2026, 03:47 AM

🚀 Rongqi Technology Delivers Equipment for Meta Smart Glasses Rongqi Technology announced on an interactive platform that it has begun delivering assembly equipment for Meta's smart glasses. According to Jin10, the company's annual order volume will largely depend on the end sales of Meta's smart glasses and will be influenced by Meta's production schedule. #RongqiTechnology#Meta#SmartGlasses#Technology#EquipmentDelivery#Assembly#Jin10