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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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DSR Corporation News

@dsr_news · Post #1036 · 06/19/2025, 09:18 AM

❓Интересуешься внедрением DI в Kotlin-скрипты и хочешь избежать tight coupling? Мы подробно разобрали это в свежей статье на Medium — ‘Keep your scripts decoupled: flexible and safe dependency injection for Kotlin Scripts’! Наши инженеры: Игорь Покотило, Senior Software Engineer, и Константин Некрасов, Principal Software Engineer рассказывают: ✅ как внедрить DI в скрипты так, чтобы не переписывать их при развитии приложения ✅ как использовать Spring IoC ✅ и как при этом не завязать бизнес-логику на инфраструктуру 📖 Читать: ссылка ✍️ Статья на английском языке #Kotlin#DependencyInjection#BackendDevelopment

Repositorio data science

@repo_science · Post #4259 · 12/08/2025, 03:46 AM

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