PHYGITAL+CREATIVE
@phygitalcreative · Post #3136 · 06/26/2023, 01:04 AM
А вот подвезли официальный код DragGAN. Интересно насколько его работа отличается от неофициальной имплементации. В основе StyleGAN3 и StyleGAN-Human. Код #image2image
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Source channel @olddriverGDstudy · Post #9 · Mar 17
#语录 凡哥语录 也许大家会觉得这里规矩多，甚至去年我还听说别人评价我们这是集中营，可是到头来，所谓“自由”的那些群如今一个个都凉了，只有我们健康持续的发展着，大队就是个平台，平台是属于大家的，我们就是帮你们维持好正常运营，别的真没多想，其实你们扪心自问，应该也有个中肯的评价吧 你这不够推拉，不能这么舔，你要说，我考虑一下，看你表现，下次给你准备点小惊喜 找女朋友炮友什么的，不能一味舔狗，要调动妹子的注意力和心情，不是说要pua人家，但是人pua不也是强调以我为主，讲究拉扯么，这个也一样的呀，当然啦，面对🐔还是给钱实在点，别整那些有的没的
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PHYGITAL+CREATIVE
@phygitalcreative · Post #3158 · 06/29/2023, 01:26 PM
Mixed Image Editing Playground AI выкатили редактор изображений с большинством последних достижений в этой области. #image2image#imageediting
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@githubtrending · Post #14988 · 07/23/2025, 12:00 AM
#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