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Source channel @githubtrending · Post #14712 · May 16

#php#calendar#contacts#crm#crm_platform#crm_system#customer_portal#customer_support#customizable#documents#email_marketing#kanban#leads#open_source#php#platform#sales_automation#single_page_application#support EspoCRM is a free, open-source CRM tool that helps you manage customer relationships by organizing leads, contacts, sales, marketing, and support in one easy-to-use web app. It has a clean interface, customizable features, and a REST API for integration, making it flexible for startups, small businesses, and developers. It automates repetitive tasks, saving time and reducing errors, while providing detailed reports to improve decision-making. Being open-source, it’s cost-effective with no licensing fees, and supported by a helpful community. This means you get a powerful, adaptable CRM that boosts productivity and customer management without high costs[1][3][5]. https://github.com/espocrm/espocrm

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@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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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