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 #14762 · May 30
#html#bootstrap#devcontainer#html5#jamstack#jekyll#jekyll_theme#pwa#responsive_web_design#rubygems The Chirpy Jekyll theme is a simple and powerful tool for creating websites, especially for technical writing. It offers many features like dark mode, categories, syntax highlighting, and built-in search. This theme helps users create visually appealing sites with ease, making it ideal for sharing knowledge and ideas. It also supports mathematical expressions and diagrams, which is beneficial for technical content. Additionally, it is optimized for SEO and performance, ensuring your site is easily found and runs smoothly. https://github.com/cotes2020/jekyll-theme-chirpy
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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