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PAIR/text2video-zero-controlnet-canny-gta5

sourceHugging Facecreativeml-openrail-mupdated 3y agoView on Hugging Face
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Model Card

Text2Video-Zero Model Card - ControlNet Canny GTA-5 Style

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: ![Hugging Face Spaces](https://huggingface.co/spaces/PAIR/Text2Video-Zero) 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.

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.

Model 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} }

Original Weights

The Dreambooth weights for the GTA-5 style were taken from CIVITAI.

Model 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.

Biases content acknowledgement:

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.

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} }