@phygitalcreative · Post #3136 · 26/06/2023, 01:04
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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Canale sorgente @WritingWay · Post #1597 · 6 mar
Fonologia, morfologia e sintassi: le basi della grammatica 📖 #writingtips#scriverebene Sai qual è la differenza tra fonologia, morfologia e sintassi? 👇 1. Fonologia 🗣️ 👉Studia i suoni della lingua e il loro valore distintivo. Es.: "Pala" e "Bala" si distinguono per un solo suono, ma cambiano completamente significato. 2. Morfologia 🔤 👉 Analizza la struttura delle parole, le loro forme e le regole di flessione. Es.: "Cantare", "cantavo", "canterò" → stessa radice, ma forme diverse. 3. Sintassi 🏗️ 👉 Studia come le parole si combinano per formare frasi corrette e comprensibili. Es.: "Il cane rincorre il gatto" 🆚 "Il gatto rincorre il cane" → stessi elementi, ma significato diverso! 💡 In breve: 📌 Fonologia = suoni 🔊 📌 Morfologia = parole 📝 📌 Sintassi = frasi 🏗️ 🔥 Conoscere queste regole ti aiuta a scrivere testi più chiari, scorrevoli e corretti. @writingway 🙌Se pensi che questo post possa interessare ad altre persone, condividilo cliccando sulla freccia a destra.
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Cerca: #image2image
@phygitalcreative · Post #3136 · 26/06/2023, 01:04
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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@phygitalcreative · Post #3158 · 29/06/2023, 13:26
Mixed Image Editing Playground AI выкатили редактор изображений с большинством последних достижений в этой области. #image2image#imageediting
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@githubtrending · Post #14988 · 23/07/2025, 00:00
#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