#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
#Elezioni#Slovenia
Secondo l'exit poll di Mediana, il partito del Primo Ministro Janez #Janša#SDS|EPP registra il suo secondo peggior risultato degli ultimi 18 anni (il peggiore rimane quindi quello del 2014, quando SDS prese il 20,7% dei voti).
@UltimoraPolitics
🇸🇮 Elezioni #Slovenia — Il partito del premier liberale uscente Robert #Golob (#GS) vince di misura contro quello dell’ex premier di destra Janez #Janša (#SDS). Golob potrebbe ora formare una nuova maggioranza di centro-sinistra o di centro, oppure ricorrere a elezioni anticipate.
@UltimoraPolitics24