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 #14938 · Jul 10
#c_lang#ble#bluetooth_low_energy#iot#nrf52#sensor#soil_moisture#soil_moisture_sensor The b-parasite is a small, open-source device that checks soil moisture, air temperature, humidity, and light for your plants, using a simple coin cell battery that can last over two years. It works with popular smart home systems like Home Assistant and can send data wirelessly using Bluetooth or Zigbee. The device is easy to build or buy, comes with free designs and software, and can be protected with a 3D-printed case. This helps you keep your plants healthy by giving you clear, regular updates on their environment, so you know exactly when to water or adjust conditions[1][2][3]. https://github.com/rbaron/b-parasite
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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