Video with Dr Eman and Arooj Fatima unj
็ฅไน๏ผไธญๆไบ่็ฝ้ซ่ดจ้็้ฎ็ญ็คพๅบๅๅไฝ่ ่้็ๅๅๅ ๅฎนๅนณๅฐ๏ผไบ 2011 ๅนด 1 ๆๆญฃๅผไธ็บฟ๏ผไปฅใ่ฎฉไบบไปฌๆดๅฅฝ็ๅไบซ็ฅ่ฏใ็ป้ชๅ่ง่งฃ๏ผๆพๅฐ่ชๅทฑ็่งฃ็ญใไธบๅ็ไฝฟๅฝใ็ฅไนๅญๅ่ฎค็ใไธไธ … Learn more about YouTube YouTube help videos Browse our video library for helpful tips, feature overviews, and step-by-step tutorials. YouTube Known Issues Get information on reported … 31 juil. 2025 · 1080P/2K/4Kๅ่พจ็๏ผไปฅๆๆฐๅๅธ็RTX 5050ไธบๅบๅ๏ผ25ๆฌพไธปๆตๆธธๆๆต่ฏๆ็ปฉๅๅนณๅๅผ๏ผ ๆฐๆฎๆฅๆบไบ๏ผTechPowerUp ๆก้ข็ซฏๆพๅกๅคฉๆขฏๅพ๏ผ Centre d'aide officiel de YouTube où vous trouverez des conseils et des didacticiels sur l'utilisation du produit, ainsi que les réponses aux questions fréquentes. 12 mars 2023 · ๅ ่ฏดๅ ไธชๆ้ฎ้ข๏ผ1ใๆๆๆญๆพๅจ๏ผๆฏๆๅผน็ช็๏ผๆฏๆฌกๆๅผ้ฝๆๅผน็ช๏ผ่ฎฉๆ่ฑ้ฑ2ใQQๅฝฑ้ณ ๅ ้ๆญๆพ1.5ๅๆ้ฎ้ข… Il y a 2 jours · ๆฌ็ฏๆ็ซ ไผๅฎๆๆดๆฐๅ ๅฎน๏ผไผ้็ๅธๅบไปทๆ ผ็ๅๅ๏ผๆฐๅ็ๅๅธๅๆงไปทๆฏ็้ซไฝ๏ผๆฅๆดๆฐๅไธชๆกฃไฝ็ๆจ่ๆพ็คบๅจ๏ผๅฆๆๆฌ็ฏๆ็ซ ๅฏนไฝ ๆๆๅธฎๅฉ๏ผๅซๅฟไบ็น่ต/ๅ ณๆณจ@ ไธ่ง็ป้ฟ ๆฏๆ … m3u8ๆฏไธไธชๆๆฌๆไปถ๏ผๆฌ่บซๅนถไธๆฏๅชไฝๆไปถ๏ผ้้ขๆฏไปฅUTF-8ๆ ผๅผ่ฎฐๅฝ็้ณ้ข่ง้ข่ตๆบ๏ผไปฅๅ่ฟไบ่ตๆบ็ๆญๆพๅฐๅใm3u8็ธๅฝไบ่ง้ข้ณ้ข่ตๆบ็็งๅญๆไปถใMac OSไธๅ ไธบ็ๆ็้ฎ้ข๏ผๆฏ … Awesome Stock Video Clips, Stock Music, Sound Effects & Video Templates. All available for free! Mixkit is a free gallery of awesome stock video clips, music tracks, sound effects and … ็ฅไนๆฏไธไธชไธญๆไบ่็ฝ้ซ่ดจ้้ฎ็ญ็คพๅบๅๅไฝ่ ่้็ๅๅๅ ๅฎนๅนณๅฐ๏ผๆไพ็ฅ่ฏๅ ฑไบซใไบๅจไบคๆตๅไธชไบบๆ้ฟๆบไผใ 11 nov. 2022 · ่ฟไธช่ง้ข่งฃๆ็ฝ็ซๆฏ่พไธไธ๏ผ้คไบๆฅๆๅจ็บฟไธ่ฝฝ่ง้ขๅ่ฝๅค๏ผ่ฟๆฅๆWindowsๅMac็ๅฎขๆท็ซฏ๏ผๆไธไนๆฅๆๅฝๅถๅฑๅน่ง้ขๅDVDๅปๅฝ็ญ่ฝฏไปถใ
็ฝ็ซๅชไธๆณจไบๆๅฝๅค็ไธปๆต่ง … 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: ๐ Effective MoE Architecture: Wan2.2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. VisoMaster is a powerful yet easy-to-use tool for face swapping and editing in images and videos. It utilizes AI to produce natural-looking results with minimal effort, making it ideal for both casual users and professionals. Video RepublicLabs.AI - multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models. Based AI - AI Intuitive Interface for Video creating Promptchan.ai - Explore over 10 million NSFW AI Porn creations generated by our amazing community. ็ฅไน๏ผไธญๆไบ่็ฝ้ซ่ดจ้็้ฎ็ญ็คพๅบๅๅไฝ่ ่้็ๅๅๅ ๅฎนๅนณๅฐ๏ผไบ 2011 ๅนด 1 ๆๆญฃๅผไธ็บฟ๏ผไปฅใ่ฎฉไบบไปฌๆดๅฅฝ็ๅไบซ็ฅ่ฏใ็ป้ชๅ่ง่งฃ๏ผๆพๅฐ่ชๅทฑ็่งฃ็ญใไธบๅ็ไฝฟๅฝใ็ฅไนๅญๅ่ฎค็ใไธไธใๅๅ็็คพๅบๆฐๅดใ็ฌ็น็ไบงๅๆบๅถไปฅๅ็ปๆๅๅๆ่ทๅพ็ไผ่ดจๅ ๅฎน๏ผ่้ไบไธญๆไบ่็ฝ็งๆใๅไธใๅฝฑ่งใๆถ 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 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 Contribute to kijai/ComfyUI-WanVideoWrapper development by creating an account on GitHub. About ๐ฌ ๅกๅกๅญๅนๅฉๆ | VideoCaptioner - ๅบไบ LLM ็ๆบ่ฝๅญๅนๅฉๆ - ่ง้ขๅญๅน็ๆใๆญๅฅใๆ กๆญฃใๅญๅน็ฟป่ฏๅ จๆต็จๅค็๏ผ - A powered tool for easy and efficient video subtitling. 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.
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