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Canale sorgente @WritingWay · Post #1113 · 10 mag

Ci vediamo in diretta questa sera?🎧📺 #live#pubblicareunlibro 📣Io e Fulvio Julita abbiamo una serie di cose da raccontarvi e una news in anteprima. 📞Parleremo di quando un progetto di pubblicazione non va a buon fine - una sconfitta, insomma - e ci si domanda come reagire, che cosa fare. 📽Ci confronteremo su come cercare e raggiungere i lettori, sui canali di distribuzione del libro e sulle risposte alle vostre domande. Seguiteci sulla mia pagina FB e sul canale Youtube alle 18.30.

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PHYGITAL+CREATIVE

@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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PHYGITAL+CREATIVE

@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