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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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Crypto M - Crypto News

@CryptoM · Post #65185 · 04/11/2026, 05:11 PM

🚀 Solana's Drift Protocol Suffers $285 Million Loss in Security Breach Drift Protocol experienced a significant security breach on April 1, 2026, resulting in a loss of $285 million. According to NS3.AI, attackers managed to drain Solana's largest perpetual futures exchange within approximately 12 minutes. The exploit was facilitated by a governance setup that utilized a two-of-five multisig and a zero-delay path for privileged actions. The attackers spent six months cultivating trust with insiders, leading to two Security Council members pre-signing transactions with hidden authorizations. In response to the breach, the Solana Foundation launched STRIDE, a foundation-backed continuous security program, just days after the incident. #Solana#DriftProtocol#SecurityBreach#285MillionLoss#PerpetualFutures#NS3AI#MultisigExploit#GovernanceSetup#STRIDE#SolanaFoundation#CryptoSecurity#InsiderAttack#BlockchainSecurity#SOL