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PAIR/text2video-zero-controlnet-canny-gta5
text2video-zero-controlnet-canny-gta5 is a text-to-video model from PAIR. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
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 an…
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From the Hugging Face model README
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.
We converted the original weights into diffusers and made them usable for ControlNet with edge guidance using: https://github.com/lllyasviel/ControlNet/discussions/12.
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
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}
}
The Dreambooth weights for the GTA-5 style were taken from CIVITAI.
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.
@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}
}