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 #14727 · May 20
#javascript#cloud#cloud_os#cloud_storage#desktop#desktop_environment#dropbox#good_first_issue#gui#javascript#nas#open_source#operating_system#os#osjs#puter#remote_desktop#storage#web_desktop#web_os#webtop Puter is a privacy-first personal cloud that lets you store files, apps, and games securely. You can access everything from anywhere at any time, making it very convenient. It's like a personal computer in the cloud, and you can use it on any device—Windows, Mac, Linux, or even your smartphone. Puter also helps you organize your work and entertainment by allowing multiple virtual desktops. This means you can keep different tasks separate but easily accessible, which helps you work more efficiently. Plus, it's open-source, so you can customize it to fit your needs. https://github.com/HeyPuter/puter
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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