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 #2919 · 9 nov.
🔻LINEAGEOS 17.1 PER ONEPLUS 5 E 5T 🔻 #OP5#OP5T#LOS#ROM Finalmente, dopo mesi e mesi, anche per OnePlus 5 e 5T è arrivato il supporto ufficiale a LineageOS 17.1. 5 e 5T sono quasi arrivati alla fine del supporto e questa ROM potrebbe essere la soluzione per continuare a riceve le ultime patch di sicurezza di Android grazie alla sua stabilità. Se volete provarla, vi lascio il link qui. 🔸 Download: OP5 | OP5T Pierre __ Il nostro canale 👉🏼@oneplusguide I nostri gruppi 👉🏼@onepluscommunity
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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