@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 #3099 · 30 mars
🔻ROM DI ONEPLUS 9 E 9 PRO DISPONIBILI AL DOWNLOAD🔻 #OP9#OP9PRO#OOS#DOWNLOAD Come per ogni altro telefono, vi fornirò il download di ogni OxygenOS che potrebbe mai servire anche per i nuovi 9 e 9 Pro. I canali saranno sempre gli stessi: 🔸Sito: ideale se dovete scaricarle dal telefono 🔸App: ideale per scaricarle dal computer Le ROM disponibili, per chi di voi è nuovo, saranno: 🔸Stabile: ultimo ZIP della stabile EEA disponibile 🔸Beta: ultimo ZIP dell'Open Beta disponibile 🔸Rollback: pacchetto stabile che formatta il telefono, ideale per passare da beta a stabile 🔸EDL: tool per ripristinare completamente il telefono Al momento solo la stabile è disponibile, le altre arriveranno non appena avrò un link. Pierre — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity
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@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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@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