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  • Wan: Open and Advanced Large-Scale Video Generative Models
    👍 Multiple Tasks: Wan2 1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation 👍 Visual Text Generation: Wan2 1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications
  • Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub
    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
  • GitHub - k4yt3x video2x: A machine learning-based video super . . .
    A machine learning-based video super resolution and frame interpolation framework Est Hack the Valley II, 2018 - k4yt3x video2x
  • Generate videos with Gemini Apps
    Video generation model availability Gemini Apps uses several models for video generation, Veo 2 and Veo 3 Veo 3, which includes the ability to generate sound with a video, is expanding to additional users over time Find details about current availability below or learn more about Veo2 and Veo3 Veo 3 availability Supported countries
  • Lightricks LTX-Video: Official repository for LTX-Video - 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 1216×704 resolution, faster than it takes to watch them It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them
  • DepthAnything Video-Depth-Anything - GitHub
    This work presents Video Depth Anything based on Depth Anything V2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher
  • Troubleshoot YouTube video errors - YouTube Help - Google Help
    Using multiple devices on the same network may reduce the speed that your device gets You can also change the quality of your video to improve your experience Check the YouTube video’s resolution and the recommended speed needed to play the video The table below shows the approximate speeds recommended to play each video resolution
  • HunyuanCustom: A Multimodal-Driven Architecture for Customized Video . . .
    Customized video generation aims to produce videos featuring specific subjects under flexible user-defined conditions, yet existing methods often struggle with identity consistency and limited input modalities In this paper, we propose HunyuanCustom, a multi-modal customized video generation


















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