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Source channel @githubtrending · Post #14988 · Jul 23

#python#deep_learning#diffusion#flax#flux#hacktoberfest#image_generation#image2image#image2video#jax#latent_diffusion_models#pytorch#score_based_generative_modeling#stable_diffusion#stable_diffusion_diffusers#text2image#text2video#video2video The Hugging Face Diffusers library is a powerful and easy-to-use tool for generating images, audio, and 3D molecular structures using advanced diffusion models. It offers ready-to-use pretrained models and flexible components like pipelines, schedulers, and model building blocks, allowing you to quickly create or customize your own diffusion-based projects. Installation is simple via pip or conda, and you can generate high-quality outputs with just a few lines of code. This library benefits you by making cutting-edge AI generation accessible, customizable, and efficient, whether you want to run models or train your own[1][2][5]. https://github.com/huggingface/diffusers

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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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