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Source channel @githubtrending · Post #15026 · Aug 3

#typescript#agentic_ai#ai#flow_based_programming#visual_ai#visual_programming#visual_programming_editor#visual_programming_language#vscode#vscode_extension Flyde is a free, open-source tool that lets you build and manage AI workflows visually inside your existing TypeScript codebase using VS Code. It helps you create, test, and improve complex backend AI logic like AI agents and prompt chains with a clear visual interface, making it easier for both developers and non-developers to collaborate. Flyde integrates directly with your code and tools, so you keep full control while simplifying development and debugging. This saves time, reduces errors, and improves teamwork on AI-powered backend projects. https://github.com/flydelabs/flyde

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@phygitalcreative · Post #3136 · 06/26/2023, 01:04 AM

А вот подвезли официальный код DragGAN. Интересно насколько его работа отличается от неофициальной имплементации. В основе StyleGAN3 и StyleGAN-Human. Код #image2image

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@phygitalcreative · Post #3158 · 06/29/2023, 01:26 PM

Mixed Image Editing Playground AI выкатили редактор изображений с большинством последних достижений в этой области. #image2image#imageediting

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@githubtrending · Post #14988 · 07/23/2025, 12:00 AM

#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