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stepfun-ai/Step-Video-T2V - GitHub
We present Step-Video-T2V, a state-of-the-art (SoTA) text-to-video pre-trained model with 30 billion parameters and the capability to generate videos up to 204 frames. To enhance both training and inference efficiency, we propose a deep compression VAE for videos, achieving 16x16 spatial and 8x temporal compression ratios.

GitHub - bytedance/VideoWorld: [CVPR 2025] VideoWorld is a simple ...
👉 We construct Video-GoBench, a large-scale video-based Go dataset for training and evaluation, facilitating future research on knowledge learning from pure videos. Introduction This work explores whether a deep generative model can learn complex knowledge solely from visual input, in contrast to the prevalent focus on text-based models like ...

GitHub - kijai/ComfyUI-HunyuanVideoWrapper
Now you can feed image to the VLM as condition of generations! This is different from image2video where the image become the first frame of the video. IP2V uses image as a part of the prompt, to extract the concept and style of the image. So - very much like IPAdapter - but VLM will do the heavy lifting for you!

Lightricks/ComfyUI-LTXVideo: LTX-Video Support for ComfyUI - GitHub
Sequence Conditioning – Allows motion interpolation from a given frame sequence, enabling video extension from the beginning, end, or middle of the original video. Prompt Enhancer – A new node that helps generate prompts optimized for the best model performance. See the Example Workflows section for more details.

GitHub - kijai/ComfyUI-WanVideoWrapper
Contribute to kijai/ComfyUI-WanVideoWrapper development by creating an account on GitHub.

#> Movavi Video Editor 25.0.1 Crack + Activation Key [2025] - GitHub
Movavi Video Editor 25.0.1 Crack Full is the name of a simple and ideal program for editing videos on Windows. If you are one of those people who use many video editing software and are tired of the complex user interface, then we highly recommend you to download and install Movavi Video Editor With Activation Key.

WEIFENG2333/VideoCaptioner: 卡卡字幕助手 - GitHub
卡卡字幕助手(VideoCaptioner)操作简单且无需高配置,支持网络调用和本地离线(支持调用GPU)两种方式进行语音识别,利用可用通过大语言模型进行字幕智能断句、校正、翻译,字幕视频全流程一键处理!

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