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Chaîne source @OnePlusGuide · Post #3085 · 23 mars

🔻SEGUI LA PRESENTAZIONE DEI ONEPLUS 9 CON NOI🔻 #OP#OP9PRO#OP9R#LIVE Siamo felici di annunciarvi che, come per OnePlus 8 ed 8T commenteremo Live presentazione di OnePlus 9 oggi dalle ore 14:30. Quest'anno abbiamo deciso di utilizzare ben 2 piattaforme per lo streaming, infatti saremo Live sia su YouTube che su Twitch. 📝 Per ricordarvi dell'evento vi consigliamo attivare la campanella sulla vostra piattaforma preferita tramite i link sottostanti. Vi aspettiamo numerosissimi! 🟣LIVE TWITCH (principale) 🔴LIVE YOUTUBE 📝 Dalle 14:45 gruppi verranno chiusi per spostare le discussioni in live — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity

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PHYGITAL+CREATIVE

@phygitalcreative · Post #3136 · 26/06/2023 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 · 29/06/2023 13:26

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

GitHub Trends

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