@repo_science · Post #3771 · 12/01/2023, 11:53 PM
#python#cheatsheets Here is an amazing Python cheat sheet for you all! ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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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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@repo_science · Post #3771 · 12/01/2023, 11:53 PM
#python#cheatsheets Here is an amazing Python cheat sheet for you all! ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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@githubtrending · Post #15000 · 07/27/2025, 12:00 PM
#markdown#android#bsd#cheatsheet#cheatsheets#command_line#console#documentation#examples#hacktoberfest#help#linux#macos#man_page#manpages#manual#osx#shell#terminal#tldr#windows The tldr-pages project offers simple, easy-to-understand help pages for command-line tools, focusing on practical examples rather than long, complex manuals. It’s great if you’re new to the command line or forget command options, as it shows the most useful commands clearly. You can access these pages through various clients or online without installing anything. This saves you time and frustration by giving quick, clear guidance on common tasks, making it easier to learn and use command-line tools effectively. Plus, you can contribute by adding or improving pages yourself. This helps you and others get fast, practical help with commands[1][4]. https://github.com/tldr-pages/tldr