|
--- |
|
library_name: dynamicrafter |
|
pipeline_tag: text-to-video |
|
--- |
|
|
|
# DynamiCrafter (320x512) (text-)Image-to-Video/Image Animation Model Card |
|
 |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
DynamiCrafter (320x512) (Text-)Image-to-Video is a video diffusion model that <br> takes in a still image as a conditioning image and text prompt describing dynamics,<br> and generates videos from it. |
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
<!-- Provide a longer summary of what this model is. --> |
|
|
|
DynamiCrafter, a (Text-)Image-to-Video/Image Animation approach, aims to generate <br> |
|
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 320x512 <br> |
|
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:** VideoCrafter1 (320x512) |
|
|
|
### Model Sources |
|
|
|
<!-- Provide the basic links for the model. --> |
|
For research purpose, we recommend our Github repository (https://github.com/Doubiiu/DynamiCrafter), <br> |
|
which includes the detailed implementations. |
|
- **Repository:** https://github.com/Doubiiu/DynamiCrafter |
|
- **Paper:** https://arxiv.org/abs/2310.12190 |
|
|
|
## Uses |
|
|
|
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
|
|
|
### Direct Use |
|
|
|
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
|
|
|
We develop this repository for RESEARCH purposes, so it can only be used for personal/research/non-commercial purposes. |
|
|
|
|
|
|
|
## Limitations |
|
|
|
<!-- This section is meant to convey both technical and sociotechnical 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 |
|
|
|
|
