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 #15100 · Aug 29
#typescript#commerce#e_commerce#javascript#marketplace#marketplace_solution#medusa#medusajs#medusajs_v2#multi_vendor#multi_vendor_ecommerce#multivendor_ecommerce#nodejs#open_source#shopping_cart Mercur is a free, open-source platform that lets you build and run your own multi-vendor marketplace with full control over your data, infrastructure, and customizations. It combines the ease of SaaS with the freedom of open source, so you avoid transaction fees and vendor lock-in. Built on modern MedusaJS technology, Mercur supports both B2C and B2B marketplaces, offering customizable storefronts, admin and vendor panels, and integrations like Stripe for payments. This means you can create a unique, scalable marketplace tailored to your business needs without relying on costly or restrictive platforms. It requires some technical skill but gives you complete ownership and flexibility. https://github.com/mercurjs/mercur
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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