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Source channel @CodeXBotz · Post #1457 · 10月8日

🚀 Exciting Project Announcement! 🚀 I'm thrilled to share that I’ve developed GitInvite – an open-source platform that makes collaborating on GitHub easier than ever! 🎉 💡 What is GitInvite? GitInvite allows users to generate secure GitHub repository invite links that can be shared with collaborators. No more manual collaborator additions! With just one link, you can grant access to your repos in a secure and efficient way. 🌟 Key Features: - Generate secure invite links to share repository access. - Cancel invite links anytime to prevent further use. - Revoke access from users who gained access via the link. - Easy collaboration for developers, teams, and open-source projects. 🎯 Beta Stage: GitInvite is currently in its beta stage, and I'm actively seeking feedback and suggestions for improvements. I would love to hear from the developer community to help shape the future of this tool! 💻 Want to try it out? You can access GitInvite here: https://gitinvite.vercel.app/ 🛠 Developers: The code is open-source, and I welcome contributions! Check out the GitHub repo here: https://github.com/rahulps1000/GitInvite Feel free to share your feedback, open issues, or contribute to the project! Let’s make GitHub collaboration even smoother together. 🙌 #GitHub#OpenSource#NextJS#GitInvite#Collaboration#Beta#WebDevelopment

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

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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PHYGITAL+CREATIVE

@phygitalcreative · Post #3158 · 2023/06/29 13:26

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

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

#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