Wan: Open and Advanced Large-Scale Video Generative Models 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:
Navega por YouTube Studio - Computadora - Ayuda de YouTube Editor: Corta el video, agrégale pantallas finales o pistas de audio, y desenfócalo Comentarios: Mira y responde los comentarios de un video específico Subtítulos: Agrega audio en varios idiomas y descripciones y títulos traducidos a tus videos Derechos de autor: Consulta y administra los reclamos por incumplimiento de los derechos de
HunyuanVideo: A Systematic Framework For Large Video . . . - GitHub HunyuanVideo introduces the Transformer design and employs a Full Attention mechanism for unified image and video generation Specifically, we use a "Dual-stream to Single-stream" hybrid model design for video generation In the dual-stream phase, video and text tokens are processed independently through multiple Transformer blocks, enabling each modality to learn its own appropriate
【EMNLP 2024 】Video-LLaVA: Learning United Visual . . . - GitHub Video-LLaVA: Learning United Visual Representation by Alignment Before Projection If you like our project, please give us a star ⭐ on GitHub for latest update 💡 I also have other video-language projects that may interest you Open-Sora Plan: Open-Source Large Video Generation Model