đ Text2Video-Zero Model Card - ControlNet Canny GTA-5 Style
Text2Video-Zero is a zero-shot text to video generator that offers multiple video generation and editing capabilities, and this model provides GTA-5 style weights for text2video zero with edge guidance.
đ Quick Start
Text2Video-Zero is a zero-shot text to video generator. It can perform zero-shot text-to-video generation
, Video Instruct Pix2Pix
(instruction-guided video editing),
text and pose conditional video generation
, text and canny-edge conditional video generation
, and
text, canny-edge and dreambooth conditional video generation
. For more information about this work,
please have a look at our paper and our demo:
Our code works with any StableDiffusion base model.
This model provides DreamBooth weights for the GTA-5 style
to be used with edge guidance (using ControlNet) in text2video zero.
⨠Features
Weights for Text2Video-Zero
We converted the original weights into diffusers and made them usable for ControlNet with edge guidance using: https://github.com/lllyasviel/ControlNet/discussions/12.
Original Weights
The Dreambooth weights for the GTA-5 style were taken from CIVITAI.
đ Documentation
Model Details (Weights for Text2Video-Zero)
Property |
Details |
Developed by |
Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan and Humphrey Shi |
Model Type |
Dreambooth text-to-image and text-to-video generation model with edge control for text2video zero |
Language(s) |
English |
License |
The CreativeML OpenRAIL M license. |
Model Description |
This is a model for text2video zero with edge guidance and gta-5 style. It can be used also with ControlNet in a text-to-image setup with edge guidance. |
DreamBoth Keyword |
gtav style |
Resources for more information |
GitHub, Paper, CIVITAI. |
Cite as |
@article{text2video-zero, title={Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators}, author={Khachatryan, Levon and Movsisyan, Andranik and Tadevosyan, Vahram and Henschel, Roberto and Wang, Zhangyang and Navasardyan, Shant and Shi, Humphrey}, journal={arXiv preprint arXiv:2303.13439}, year={2023} } |
Model Details (Original Weights)
Property |
Details |
Developed by |
Quiet_Joker (Username listed on CIVITAI) |
Model Type |
Dreambooth text-to-image generation model |
Language(s) |
English |
License |
The CreativeML OpenRAIL M license. |
Model Description |
This is a model that was created using DreamBooth to generate images with GTA-5 style, based on text prompts. |
DreamBoth Keyword |
gtav style |
Resources for more information |
CIVITAI. |
đ License
The model is under The CreativeML OpenRAIL M license.
đ§ Technical Details
Beware that Text2Video-Zero may output content that reinforces or exacerbates societal biases, as well as realistic faces, pornography, and violence. Text2Video-Zero in this demo is meant only for research purposes.
đ Citation
@article{text2video-zero,
title={Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators},
author={Khachatryan, Levon and Movsisyan, Andranik and Tadevosyan, Vahram and Henschel, Roberto and Wang, Zhangyang and Navasardyan, Shant and Shi, Humphrey},
journal={arXiv preprint arXiv:2303.13439},
year={2023}
}