TL;DR: We propose StyleCrafter, a generic method that enhances pre-trained T2V models with style control, supporting Style-Guided Text-to-Image Generation and Style-Guided Text-to-Video Generation. 1.
Abstract: This paper presents a study conducted to classify emotions in social media texts using machine learning. With the rapid increase in the amount of data in digital media, efficient and highly ...
Abstract: Speech-to-Text (STT) and Text-to-Speech (TTS) recognition technologies have witnessed significant advancements in recent years, transforming various industries and applications. STT allows ...
Kokoro Web is powered by hexgrad/Kokoro-82M, an open-weight 82 million parameter Text-to-Speech model available on Hugging Face. Despite its lightweight architecture, it delivers comparable quality to ...
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Playing with Slime in Real Time
A simple visual and audio recording of slime movements, focusing on texture, stretching, and natural handling sounds. This video contains no music, and no added effects — only the raw interaction ...
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