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DynamiCrafter (576x1024) (text-)Image-to-Video/Image Animation Model Card

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DynamiCrafter (576x1024) (Text-)Image-to-Video is a video diffusion model that
takes in a still image as a conditioning image and text prompt describing dynamics,
and generates videos from it.

Model Details

Model Description

DynamiCrafter, a (Text-)Image-to-Video/Image Animation approach, aims to generate
short video clips (~2 seconds) from a conditioning image and text prompt.

This model was trained to generate 16 video frames at a resolution of 576x1024
given a context frame of the same resolution.

  • Developed by: CUHK & Tencent AI Lab
  • Funded by: CUHK & Tencent AI Lab
  • Model type: Generative (text-)image-to-video model
  • Finetuned from model: DynamiCrafter (320x512)

Model Sources

For research purpose, we recommend our Github repository (https://github.com/Doubiiu/DynamiCrafter),
which includes the detailed implementations.

Uses

Limitations

  • The generated videos are relatively short (2 seconds, FPS=8).
  • The model cannot render legible text.
  • Faces and people in general may not be generated properly.
  • The autoencoding part of the model is lossy, resulting in slight flickering artifacts.

How to Get Started with the Model

Check out https://github.com/Doubiiu/DynamiCrafter

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