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Source channel @githubtrending · Post #14988 · Jul 23

#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

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Ultimora.net - POLITICS

@Ultimorapolitics · Post #38028 · 04/29/2022, 07:52 PM

#Sondaggi#Italia#Regionali#Sicilia Sondaggio di Quorum: Nello #Musumeci (#DB|Destra autonomista): 39% Giancarlo #Cancelleri (#M5S|NI): 17,5% Candidato di CSX: 13,5% Cateno #DeLuca (#SiciliaVera|Populisti di centro): 13% Claudio #Fava (Lista Fava-#A1MDP|S&D): 10% Altro: 7% Data rilevazione: 19-21 aprile Intervistati: 807 @UltimoraPolitics