OpenSora
OpenSora is an open-source implementation inspired by Sora, OpenAI’s text-to-video model. While it is not an exact replica of Sora, OpenSora aims to provide similar functionality and serves as a valuable resource for researchers and developers in the field of text-to-video AI.
Key features of OpenSora include:
- 1.1B parameters for v1.2 (latest as of 2024)
- Can create up to 16s videos at a maximum resolution of 720p
- Capable of handling any aspect ratio for text-to-image, text-to-video, image-to-video, video-to-video, and infinitely long video generation requirements
CogVideoX 5B
CogVideoX 5B is another prominent open-source text-to-video AI model. Developed by the Tsinghua University Data Mining Group, CogVideoX 5B builds upon the success of its predecessor, CogVideo, offering improved performance and capabilities.
Notable aspects of CogVideoX 5B include:
- 5 billion parameters for enhanced video generation (note that this is 5x more parameters than open-sora)
- Open-source version of the video generation model originating from QingYing
- Generate 6s video clips at 720 x 480 resolution, 8 FPS
- Improved visual quality and coherence in generated videos
PyramidFlow
PyramidFlow is an innovative text-to-video AI model that leverages a pyramid structure to enhance video generation quality. This model is designed to produce high-resolution videos from textual descriptions by progressively refining the output through multiple stages.
Key features of PyramidFlow include:
- Trained on open-source datasets
- Generates high-quality 10-second videos at 768p resolution and 24 FPS
- Support image-to-video generation
Running Text-to-Video AI Models
Text-to-video AI models are inherently memory intensive due to their large parameter sizes and the complexity of video generation tasks. As a result, it is essential to run these models on powerful GPUs to ensure optimal performance and efficiency. For those looking for a reliable solution, Modal offers an excellent platform to deploy and run text-to-video AI models in the cloud, providing the necessary computational resources to handle these demanding applications.
