File size: 2,394 Bytes
4dba40d c74850a 006f16d 4dba40d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
Bf16 safetensors versions of the DynamiCrafter models by Doubiiu: https://huggingface.co/Doubiiu
__________________________________________________________
<!-- Provide a quick summary of what the model is/does. -->
This is a video diffusion model that takes in a single or two still images as a conditioning <br> image and text prompt describing dynamics, and generates looping videos or interpolation from them.
## 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 frame interpolation and looping video generation
- **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
|