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MP4ๆ ผๅผ็ฑไบๅ ถๅนฟๆณ็ๆฏๆๆงๅๅ ผๅฎนๆง๏ผๆฏๆๅธธ่ง็ไธ็ง่ง้ขๆ ผๅผไบ๏ผ่ฎธๅคๆ ๅตไธ้ฝๆฏๅฏไปฅๆญฃๅธธๆญๆพ็๏ผไฝๆๆถๅไนๅฏ่ฝๅบ็ฐไธไบๆญๆพ้ฎ้ขใ ๆไปถๆๅ๏ผMP4ๆไปถๅจไผ ่พ่ฟ็จไธญ๏ผๅฏ่ฝๅ ็ฝ็ป … 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: 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 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. 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 Jan 21, 2025 · 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 About ๐ฌ ๅกๅกๅญๅนๅฉๆ | VideoCaptioner - ๅบไบ LLM ็ๆบ่ฝๅญๅนๅฉๆ - ่ง้ขๅญๅน็ๆใๆญๅฅใๆ กๆญฃใๅญๅน็ฟป่ฏๅ จๆต็จๅค็๏ผ - A powered tool for easy and efficient video subtitling. Contribute to kijai/ComfyUI-WanVideoWrapper development by creating an account on GitHub. 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. A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x Mar 26, 2025 · Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation. LTX-Video Support for ComfyUI. Contribute to Lightricks/ComfyUI-LTXVideo development by creating an account on GitHub.
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