TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15059 · Aug 14

#python#pyside6#python#youtube_dl#youtube_downloader#yt_dlp#yt_dlp_gui YTSage is a user-friendly app that lets you download YouTube videos in any quality, extract audio, and get subtitles easily through a clean interface. You can download single videos or entire playlists, save thumbnails and descriptions, remove sponsor segments, and even trim videos. It supports login with cookies for private content and updates itself automatically. Installation is simple via pip or pre-built executables for Windows, Linux, and macOS. This tool helps you save and organize YouTube content efficiently with advanced options like speed limiting and custom commands, making video downloading fast and convenient. https://github.com/oop7/YTSage

Results

3 similar posts found

Search: #image2image

当前筛选 #image2image清除筛选
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

Hashtags

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

GitHub Trends

@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