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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Chaîne source @OnePlusGuide · Post #2385 · 27 mars
⁓ INIZIATO IL RILASCIO DI LINEAGEOS 17.1 ⁓ #OP#MODDING Finalmente è iniziato il rilascio delle build ufficiali della nuova incarnazione di LineageOS, la versione 17.1. Questa nuova versione della famosa custom ROM si basa su Android 10 e ne eredità tutte le novità, dal tema scuro alle nuove gestures di navigazione. D'altro canto, Lineage questa volta non ha voluto inserire nessuna sua novità come invece era successo per le versioni 15.1 e 16.0. Per quanto riguarda OnePlus, i dispositivi che tra pochi giorni dovrebbero iniziare a riceverla sono: • OnePlus 3/3T (oneplus3) • OnePlus 6 (enchilada) • OnePlus 6T (fajita) • OnePlus 7 Pro (guacamole) La proverete? Fatecelo sapere nei gruppi! Pierre
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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
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@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