@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
Hashtags
TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15122 · Sep 5
#typescript#chatbot#chatwoot#cloud_api#dify#evolution#n8n#openai#pusher#rabbitmq#typebot#whatsapp#whatsapp_api#whatsapp_bot Evolution API is a powerful tool that lets you connect and control WhatsApp and other messaging platforms easily. It supports both free WhatsApp Web-based API and the official WhatsApp Business API, plus upcoming Instagram and Messenger support. You can integrate it with popular services like OpenAI for AI features, Chatwoot for customer support, and Amazon S3 for media storage. There’s also a lightweight version for simple, fast setups. Using Evolution API helps you automate messaging, manage chats, and build smart bots, saving time and improving communication for your business or projects. https://github.com/EvolutionAPI/evolution-api
Search: #image2image
@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
Hashtags
@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
Hashtags
@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