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 @githubtrending · Post #15109 · Sep 1
#python#bot#python#tiktok#tiktok_api#tiktok_bot#tiktok_python#tiktok_views#tiktokbot#views#zefoy You can learn how to build the Zefoy bot yourself through a new course that shares 5+ years of reverse engineering knowledge, so you don’t have to rely on frequent fixes. The updated bot script now includes an automatic captcha solver, making it easier to run without interruptions. It’s fast, lightweight, works with TikTok’s API for dynamic view counts, and can be used on mobile devices. To use it, you just need Python and a few packages installed, then run the provided Python file. This gives you control and efficiency in automating TikTok views and interactions. https://github.com/xtekky/TikTok-ViewBot
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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