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Mit YouTube Kids knnen Kinder YouTube-Videos in einer sicheren Umgebung entdecken und Eltern und Aufsichtspersonen knnen sie auf ihrer Entdeckungsreise begleiten. YouTube Kids provides a more contained environment for kids to explore YouTube and makes it easier for parents and caregivers to guide their journey. YouTube Kids biedt een veiligere omgeving waarin kinderen YouTube kunnen ontdekken en waarin ouders en verzorgers het contentaanbod makkelijker kunnen afstemmen. YouTube Kids ofrece un entorno ms controlado para que los nios naveguen por la plataforma y ayuda a los padres y cuidadores a guiarlos en esta aventura. YouTube Kids provides a more contained environment for children to explore YouTube and makes it easier for parents and caregivers to guide their journey. L'app YouTube Kids offre un ambiente pi controllato nel quale i bambini possono esplorare YouTube con la guida ancora pi agevole dei genitori o di chi si occupa di loro. YouTube Kids menyediakan lingkungan yang lebih terkontrol bagi anak-anak untuk menjelajahi YouTube, dan memudahkan orang tua serta pengasuh untuk memandu aktivitas mereka. YouTube Kids proporciona un entorno ms seguro para que los nios exploren YouTube y los padres y tutores puedan guiarlos con ms facilidad. O YouTube Kids um ambiente mais controlado para que as crianas explorem a plataforma. Nele, os pais ou responsveis podem guiar a jornada delas com mais facilidade. YouTube Kids tarjoaa turvallisen ympristn, jossa lapset voivat tutkia YouTubea ja vanhemmat ja huoltajat voivat helposti ohjata lapsen oppimismatkaa. Feb 25, 2025 Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features: Jul 28, 2025 Wan: Open and Advanced Large-Scale Video Generative Models We are excited to introduce Wan2.2, a major upgrade to our

foundational video models. With Wan2.2, we have focused on incorporating the following innovations: Effective MoE Architecture: Wan2.2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. Contribute to kijai/ComfyUI-WanVideoWrapper development by creating an account on GitHub. LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. It can generate 30 FPS videos at 1216704 resolution, faster than it takes to watch them. The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content. The model supports image-to-video, keyframe-based Feb 23, 2025 Video-R1 significantly outperforms previous models across most benchmarks. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35.8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the Check the YouTube videos resolution and the recommended speed needed to play the video. The table below shows the approximate speeds recommended to play each video resolution. About | VideoCaptioner - LLM - - A powered tool for easy and efficient video subtitling. A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x Introduced a novel taxonomy for Vid-LLMs based on video representation and LLM functionality. Added a Preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the LLM Background section. A fast AI Video Generator for the GPU Poor. Supports Wan 2.1/2.2, Hunyuan Video, LTX Video and

Flux. - deepbeepmeep/Wan2GP