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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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djangoproject

@djangoproject · Post #254 · 02/02/2017, 06:31 PM

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https://groups.google.com/forum/#!topic/pyside-dev/pqwzngAGLWE Dear #Pyside2 contributors, As you might know, Pyside was originally developed for Nokia while it was the owner of the #Qt technology. When Nokia sold Qt to Digia (and now The Qt Company), all the copyrights over the original Pyside code for Qt 4 got transferred to The Qt Company as well. For different reasons, it was not possible for The Qt Company to push Pyside forward as much as we would have wished over the last few years. Fortunately this changed now, and The Qt Company is today in a position, where it can and will invest into Pyside. The goal is to ensure Pyside becomes a fully supported part of the Qt product family, with a similar development and licensing model as the rest of Qt. We want to make sure Pyside works on new Qt releases when they come out and are committed to invest long term into the technology.

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