PHYGITAL+CREATIVE
@phygitalcreative · Post #3136 · 06/26/2023, 01:04 AM
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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Source channel @githubtrending · Post #14994 · Jul 24
#typescript#accounting#book_keeping#desktop#double_entry_accounting#electron#frappe#inventory_management#invoicing#javascript#offline#open_source#point_of_sale#vuejs Frappe Books is a free, open-source accounting software designed to make managing your business finances simple and efficient. It works on Windows, Mac, and Linux, and you can use it offline since it stores data locally on your computer. It offers easy invoicing with customizable templates, tracks payments, and provides important financial reports like profit and loss, balance sheets, and trial balances. The software has a clean, user-friendly interface and features like a dashboard for quick financial insights and a point-of-sale system for retail. This helps you save time, stay organized, and make smarter business decisions without complex tools or extra costs[1][3][4]. https://github.com/frappe/books
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PHYGITAL+CREATIVE
@phygitalcreative · Post #3158 · 06/29/2023, 01:26 PM
Mixed Image Editing Playground AI выкатили редактор изображений с большинством последних достижений в этой области. #image2image#imageediting
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@githubtrending · Post #14988 · 07/23/2025, 12:00 AM
#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