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 #15120 · Sep 5
#shell#cloudflare#grpc_cloudflare#httpupgrade#hysteria2#nginx#reality#reality_grpc#shell#sing_box#trojan#trojan_grpc#tuic_v5#v2ray#vless#vmess#websockettlscdn_cloudflare_ip#xray#xray_core#xray_install#xtls_rprx_vision v2ray-agent is a tool that helps you quickly install and manage proxy servers using popular cores like Xray-core and sing-box. It supports many protocols such as VLESS, VMess, Trojan, and more, and automatically handles SSL certificates for secure connections. You can easily manage users, ports, and subscriptions through a simple menu. It also offers features like traffic routing, domain blocking, and P2P download control, which can help you unblock streaming services and control internet access. Installation is simple with a one-command script, making it convenient to set up and maintain your proxy server securely and efficiently. https://github.com/mack-a/v2ray-agent
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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