@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
Hashtags
TGINSIGHT SIMILAR POSTS
Chaîne source @OnePlusGuide · Post #2485 · 12 mai
~ NOKIA CAM CON SLOWMOTION FUNZIONANTE PER OP3/3T ~ #OP3#OP3T#modding Per chiunque fosse su custom Rom su OnePlus 3/3T, fin'ora non c'è stato modo per avere lo slow motion funzionante (se non con un modulo Magisk che al momento non funziona su Android 10), dal momento che sia la camera di Oxygen OS che le varie GCam non riuscivano a produrre slow motion di buona qualità. Ora fortunatamente la situazione è cambiata grazie ad un porting della Nokia Camera a cura del dev linuxct. Al momento è testata per OnePlus 3/3T, ma forse funziona anche su altri dispositivi, in ogni caso lascio qua sotto il link per scaricarla. Filippo
Recherche : #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
Hashtags
@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
Hashtags
@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