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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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@PTPPAction · Post #2399 · 10/19/2024, 12:10 PM

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#Rhilip#open 抢先体验版本不保证稳定性 feat: add lemonhd commit Merge branch 'dev' into dev * feat: add lemonhd 描述屏幕截图 2024-10-19 193700 屏幕截图 2024-10-19 193218

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@PTPPAction · Post #1982 · 05/10/2024, 02:05 PM

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#Rhilip:dev_full_vite #Rhilip#open 抢先体验版本不保证稳定性 build: full use vite to build pkg deps: use vite plugin to provide node polyfills 移除webpack构建部分，全部转为vite构建。普通用户请勿在生产环境中使用本pr的相关action构建。

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@PTPPAction · Post #1970 · 05/08/2024, 03:50 PM

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#Rhilip:dev_full_vite #Rhilip#open build: full use vite to build pkg

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@PTPPAction · Post #1967 · 05/08/2024, 03:45 PM

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#Rhilip:dev_full_vite #Rhilip#open build: full use vite to build pkg