PHYGITAL+CREATIVE
@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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Source channel @githubtrending · Post #15056 · Aug 13
#kotlin#android#android_app#android_application#android_firewall#anti_censorship#anti_surveillance#censorship_circumvention#censorship_resistance#dns#dns_over_https#dnscrypt#firewall#internet_freedom#open_source#privacy_enhancing_technologies#wireguard Rethink DNS + Firewall + VPN for Android is an app that helps you control your internet privacy and security easily without needing root access. It combines a VPN using WireGuard, a firewall that blocks internet access for apps based on your preferences (like when apps run in the background or by category), and a DNS-over-HTTPS client that hides your DNS requests from ISPs and censors. You can route different apps through different VPN tunnels, block ads and malware sites, and monitor which apps connect to the internet. This gives you more control over your data, reduces tracking, and helps bypass censorship on your Android device. https://github.com/celzero/rethink-app
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PHYGITAL+CREATIVE
@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