- 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
- HunyuanVideo: A Systematic Framework For Large Video . . . - GitHub
We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models In order to train HunyuanVideo model, we adopt several key technologies for model learning, including data
- 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
- 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
- GitHub - lllyasviel FramePack: Lets make video diffusion practical!
FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively FramePack compresses input contexts to a constant length so that the generation workload is invariant to video length FramePack can process a very large number of frames with 13B
- GitHub - Tencent-Hunyuan HunyuanVideo-Avatar
HunyuanVideo-Avatar supports various downstream tasks and applications For instance, the system generates talking avatar videos, which could be applied to e-commerce, online streaming, social media video production, etc In addition, its multi-character animation feature enlarges the application such as video content creation, editing, etc
- Create your first video in Google Vids
Optional: To make changes to your video clip, click Edit prompt To add the video clip to your Vid: Hover over the generated video Click Insert This adds the video clip to your canvas At the bottom of the Vids window, in the timeline, the video clip has its own object track Learn more about generating video clips Start by recording a video
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