DynamiCrafter (576x1024) (text-)Image-to-Video/Image Animation Model Card
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.
- Repository: https://github.com/Doubiiu/DynamiCrafter
- Paper: https://arxiv.org/abs/2310.12190
- Demo1: https://huggingface.co/spaces/Doubiiu/DynamiCrafter
- Demo2: https://replicate.com/camenduru/dynami-crafter-576x1024
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
Inference Providers
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