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README.md
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---
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datasets:
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- laion/laion400m
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language:
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- en
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---
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## Intended uses
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You can use this model to generate RGB and depth map given a text prompt.
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A short video summarizing the approach can be found at [this url](https://t.ly/tdi2) and a VR demo can be found [here](https://www.youtube.com/watch?v=3hbUo-hwAs0)
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### How to use
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### Limitations and bias
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For the image generation, limitations and bias are the same as the ones from [Stable diffusion](https://huggingface.co/CompVis/stable-diffusion-v1-4#limitations)
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For the depth map generation, limitations and bias are the same as the ones from [DPT](https://huggingface.co/Intel/dpt-large)
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## Training data
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### BibTeX entry and citation info
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```bibtex
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@misc{stan2023ldm3d,
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title={LDM3D: Latent Diffusion Model for 3D},
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author={Gabriela Ben Melech Stan and Diana Wofk and Scottie Fox and Alex Redden and Will Saxton and Jean Yu and Estelle Aflalo and Shao-Yen Tseng and Fabio Nonato and Matthias Muller and Vasudev Lal},
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year={2023},
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eprint={2305.10853},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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---
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license: creativeml-openrail-m
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datasets:
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- laion/laion400m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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language:
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- en
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---
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## Intended uses
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You can use this model to generate RGB and depth map given a text prompt.
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A short video summarizing the approach can be found at [this url](https://t.ly/tdi2) and a VR demo can be found [here](https://www.youtube.com/watch?v=3hbUo-hwAs0).
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### How to use
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### Limitations and bias
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For the image generation, limitations and bias are the same as the ones from [Stable diffusion](https://huggingface.co/CompVis/stable-diffusion-v1-4#limitations)
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For the depth map generation, limitations and bias are the same as the ones from [DPT](https://huggingface.co/Intel/dpt-large).
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## Training data
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### BibTeX entry and citation info
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```bibtex
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@misc{stan2023ldm3d,
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title={LDM3D: Latent Diffusion Model for 3D},
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author={Gabriela Ben Melech Stan and Diana Wofk and Scottie Fox and Alex Redden and Will Saxton and Jean Yu and Estelle Aflalo and Shao-Yen Tseng and Fabio Nonato and Matthias Muller and Vasudev Lal},
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year={2023},
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eprint={2305.10853},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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