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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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ALL About RSS

@AboutRss · Post #1051 · 06/13/2021, 01:00 PM

本周 RSS #玩家#教程 分享 1️⃣「搭建一个 rss 订阅 bot」 https://ednovas.xyz/2021/06/07/rss_bot/ 2️⃣「How to add a RSS feed to a #rails blog」 https://webdevchallenges.com/how-to-add-a-rss-feed-to-a-rails-blog 3️⃣「How to use #GitHub actions and Contentful webhooks to show your latest blog posts on your GitHub profile README」 https://whitep4nth3r.com/blog/how-to-github-actions-contentful-webhooks-to-show-latest-blog-posts-readme 4️⃣「How To Create RSS Feeds In #Golang」 https://medium.com/canopas/how-to-create-rss-feeds-in-golang-43a99fa302e9

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@githubtrending · Post #15303 · 12/04/2025, 07:00 PM

#ruby#hotwire#kanban#rails#ruby Fizzy is an open-source Kanban tool by 37signals that helps you visually track tasks and ideas using boards with columns. You can set it up easily, run it locally or with MySQL, and test it with built-in commands. It supports email previews and web push notifications for updates. Fizzy is designed to be simple, modern, and customizable, letting you self-host for full control over your data. It also offers a companion SaaS gem for billing and production setups. This means you get a flexible, transparent way to manage projects and workflows, with the option to run it yourself or use a hosted service. https://github.com/basecamp/fizzy