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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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EdgeMarket.AI 📣

@edgemarketai · Post #8128 · 04/24/2026, 07:54 AM

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VISION11

@vision11official · Post #1199 · 04/17/2023, 12:30 PM

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EdgeMarket.AI 📣

@edgemarketai · Post #8143 · 04/29/2026, 09:42 AM

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djangoproject

@djangoproject · Post #447 · 09/18/2017, 10:35 AM

https://pybee.org/news/buzz/2017-google-summer-of-code-final-report-dayanne-fernandes/ After almost 4 months of work on Google Summer of Code 2017, finally I'm completing my proposal. Every widget migration and every commit/PR/issue/discussion with my mentors about Cricket , Toga and rubicon-objc were detailed on the Issue 58. "Eating your own dog food" The best way to show that a product is reliable to the customers is use it. So, the way to show that #Toga is an effective tool to build a #GUI is to build a complete application using it. #Cricket is a graphical tool that helps you run your #test suites. Its current version is implemented using #Tkinter as the main GUI framework. So, why not test Toga inside of another product from #BeeWare? That's what I have acomplished during my GSoC work.

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