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소스 채널 @phpdevelopersuz · Post #3006 · 1월 25일

🌟Telegram 6 ta davlatdagi eng daromadli iOS App Store ilovalari 10 taligiga kirdi. AppFigures maʼlumotlariga koʻra, Telegram 6 mamlakatda daromad boʻyicha birinchi oʻntalikka kiradi: • O'zbekiston — 2-o'rinda. • Afg'oniston — 4-o'rinda. • Gruziya — 4-o'rinda. • Ukraina — 6-o'rinda. • Moldova — 7-o'rinda. • Bulorussiya — 8-o'rinda. Ochiq ma'lumotlarga ko'ra, Telegram Premium auditoriyasi Snapchat + bilan teng va pullik Twitter Blue obunasidan 4-5 baravar ko'p. Hozirgi o‘sish sur’atlarida Telegram’ning Premium obunasi bo‘lgan foydalanuvchilarning 2,5% ga yetishi uchun yana bir necha yil kerak bo‘ladi. #premium#telegram#statistika ✅@TGraphUz| YouTube ♻️IT news | Tg Botskanalini kuzatib boring

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PHYGITAL+CREATIVE

@phygitalcreative · Post #3136 · 2023. 06. 26. AM 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. PM 01:26

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

GitHub Trends

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

#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