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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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Libreware

@libreware · Post #1197 · 10/31/2023, 01:57 PM

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. Louis Rossman and FUTO have released another not -FOSS app of interest. This time they bring us the #video#streaming app #Grayjay, which is designed to let you surf and search all you favorite video streaming services at once. Grayjay does everything the popular NewPipe app does, plus more. Unfortunately NewPipe only worked with YouTube and PeerTube. So far Grayjay works w/these platforms (to a certain extent) - Rumble - Odysee - Youtube - FUTO's PeerTube Instance - Twitch - Patreon - Soundcloud - Kick - Nebula Sorry, no BitChute so far. You can download videos for offline viewing, and then export those to your Movies folder on your phone. You can download the apk install file here: https://grayjay.app/ Their GitLab source code can be found here: https://gitlab.futo.org/videostreaming/grayjay Casting: https://gitlab.futo.org/videostreaming/grayjay/-/blob/master/docs/casting.md ⚠️ License https://gitlab.futo.org/alex/voiceinput/-/blob/master/FTL_LICENSE.md ⚡️@LinuxTechIndex

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