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Text2video Zero ControlNet Canny Gta5

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...

Sourcehuggingface.co/PAIR/text2video-zero-controlnet-canny-gta5/tree/b999ecc5368f96d57e8b612b8cde0b50673e306d
TypeOtherVersionpytorch_modelBClasse

Source du modèle

Type
Other
Taille du fichier
1,13 GB
Version
vpytorch_model
Mis à jour
6 oct. 2026
Téléchargements
24
Source
Hugging Face

Description de la source

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 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}
  }

Sources

1 source
Hugging FacePrincipalVersion b999ecc5368f96d57e8b612b8cde0b50673e306d
huggingface.co/PAIR/text2video-zero-controlnet-canny-gta5/tree/b999ecc5368f96d57e8b612b8cde0b50673e306d

Vérifié 6 oct.

Artefacts du modèle

1 artefact

safety_checker/pytorch_model.bin

bin · 1,13 GB · SHA-256 16d28f2b3710…a394 · Hugging Face

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Extraits de sources

3 extraits
Readme29 juil.huggingface.co/PAIR/text2video-zero-controlnet-canny-gta5

--- license: creativeml-openrail-m library_name: diffusers inference: true pipeline_tag: text-to-video tags: - text-to-video - text-to-image --- # Text2Video-Zero Model Card - ControlNet Canny GTA-5 Style [Text2Video-Zero](https://arxiv.org/abs/2303.13439) 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](https://arxiv.org/abs/2303.13439) and our demo: [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/PAIR/Text2Video-Zero) Our [code](https://github.com/Picsart-AI-Research/Text2Video-Zero) works with any StableDiffusion base model. This model provides [DreamBooth](https://arxiv.org/abs/2208.12242) weights for the `GTA-5 style` to be used with edge guidance (using [ControlNet](https://arxiv.org/abs/2302.05543)) in text2video zero. ## Weights for Text2Video-Zero We converted the original weights into diffusers and made them usable for [ControlNet](https://arxiv.org/abs/2302.05543) 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](https://huggingface.co/spaces/CompVis/stable-diffusion-license). - **Model Description:** This is a model for [text2video zero](https://github.com/Picsart-AI-Research/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](https://github.com/Picsart-AI-Research/Text2Video-Zero), [Paper](https://arxiv.org/abs/2303.13439), [CIVITAI](https://civitai.com/models/1309/gta5-artwork-diffusion). - **Cite as:** @article{text2video-zero, title={Text2Video-Zero: Text-to-Image Diffusio...

Note6 oct.huggingface.co/PAIR/text2video-zero-controlnet-canny-gta5

Source context: 24 downloads · 14 likes · Pipeline text-to-video · Library diffusers · Repo PAIR/text2video-zero-controlnet-canny-gta5

Note29 juil.huggingface.co/PAIR/text2video-zero-controlnet-canny-gta5

Source context: 18 downloads · 14 likes · Pipeline text-to-video · Library diffusers · Repo PAIR/text2video-zero-controlnet-canny-gta5