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Bf16 safetensors versions of the DynamiCrafter models by Doubiiu: https://huggingface.co/Doubiiu
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This is a video diffusion model that takes in a single or two still images as a conditioning
image and text prompt describing dynamics, and generates looping videos or interpolation from them.
## 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 320x512
given a context frame of the same resolution.
- **Developed by:** CUHK & Tencent AI Lab
- **Funded by:** CUHK & Tencent AI Lab
- **Model type:** Generative frame interpolation and looping video generation
- **Finetuned from model:** VideoCrafter1 (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
## Uses
### Direct Use
We develop this repository for RESEARCH purposes, so it can only be used for personal/research/non-commercial purposes.
## 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