AccVideo is a novel and efficient distillation method that accelerates the inference speed of video diffusion models by synthesizing data sets. This model enables 8.5x speed improvements when generating videos while maintaining similar performance. It uses a pre-trained video diffusion model to generate multiple efficient denoising trajectories, thereby optimizing the use and generation of data. AccVideo is especially suitable for scenes that require efficient video generation, such as movie production, game development, etc., and is suitable for researchers and developers.
Demand population:
"This product is suitable for video producers, game developers, animation creators and researchers who need efficient video generation tools to speed up creation and improve video quality. AccVideo helps users better realize their creativity by reducing inference steps and optimizing datasets."
Example of usage scenarios:
Generate a 5-second urban street view video to show a dynamic atmosphere.
Create high-resolution animated short films suitable for advertising or short video platforms.
Create personalized videos based on text descriptions that support multiple styles of expression.
Product Features:
Efficient video generation: Achieve 8.5 times faster generation speed, significantly improving efficiency.
Synthetic dataset utilization: generate effective denoising trajectories and optimize data usage.
Trajectory guidance: Guide the student model to imitate the denoising process of the pre-trained model through a few steps.
Adversarial training: align the output distribution of student model and the distribution of synthetic datasets to improve video quality.
Diversified video output: supports the generation of videos of different styles and content to meet diverse needs.
High resolution video generation: can generate 720x1280 resolution video to meet modern display needs.
Flexible application scenarios: can be used for text-to-video generation, enriching creative methods.
User-friendly: Suitable for all kinds of users and provides a good user experience.
Tutorials for use:
Visit the AccVideo model page and download the relevant code.
Configure the necessary environment and dependencies according to the document.
A synthetic dataset was generated using a pre-trained video diffusion model.
Perform adversarial training to optimize the performance of the student model.
Enter the text description of the video generated and run the model to generate the video.
The output video can be edited and used according to your needs.