ComfyUI Pixel Perfect Depth
Working on tonight the RT versions Model Downloads for ComfyUI custom node Here Node usage on github Orgin models can be found linked here at orgin github in google drives or some at these Huggingfaces listed below
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 1,23–3,57 GB
- Versión
- vRevision 34947ed
- Actualizado
- 7 oct 2026
- Descargas
- 3
- Fuente
- Hugging Face
Descripción de la fuente
PPD sample output
-
Working on tonight the RT versions
-
Model Downloads for ComfyUI custom node Here Node usage on github
-
Orgin models can be found linked here at orgin github in google drives or some at these Huggingfaces listed below
-
https://huggingface.co/depth-anything/Depth-Anything-V2-Large
Acknowledgement
We are grateful to the Depth Anything V2, MoGe and DiT teams for their code and model release. We would also like to sincerely thank the NeurIPS reviewers for their appreciation of this work (ratings: 5, 5, 5, 5).
Citation
If you find this project useful, please consider citing:
@article{xu2025pixel,
title={Pixel-perfect depth with semantics-prompted diffusion transformers},
author={Xu, Gangwei and Lin, Haotong and Luo, Hongcheng and Wang, Xianqi and Yao, Jingfeng and Zhu, Lianghui and Pu, Yuechuan and Chi, Cheng and Sun, Haiyang and Wang, Bing and others},
journal={arXiv preprint arXiv:2510.07316},
year={2025}
}
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 30 ago
Download files
Artefactos del modelo
6 artefactos
Artefactos del modelo
6 artefactosVideo/model.safetensors
safetensors · 3,57 GB · SHA-256 33580e4702ac…875d · Hugging Face
Download fileExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: apache-2.0 pipeline_tag: image-to-3d tags: - art ---  - Working on tonight the RT versions - Model Downloads for ComfyUI custom node [Here](https://github.com/Apache0ne/ComfyUI-pixel-perfect-depth) Node usage on github - Orgin models can be found linked [here](https://github.com/gangweix/pixel-perfect-depth) at orgin github in google drives or some at these Huggingfaces listed below - https://huggingface.co/gangweix/Pixel-Perfect-Depth - https://huggingface.co/depth-anything/Depth-Anything-V2-Large - https://huggingface.co/Ruicheng/moge-2-vitl-normal - https://huggingface.co/yyfz233/Pi3 ## Acknowledgement We are grateful to the [Depth Anything V2](https://github.com/DepthAnything/Depth-Anything-V2), [MoGe](https://github.com/microsoft/MoGe) and [DiT](https://github.com/facebookresearch/DiT) teams for their code and model release. We would also like to sincerely thank the NeurIPS reviewers for their appreciation of this work (ratings: 5, 5, 5, 5). ## Citation If you find this project useful, please consider citing: ```bibtex @article{xu2025pixel, title={Pixel-perfect depth with semantics-prompted diffusion transformers}, author={Xu, Gangwei and Lin, Haotong and Luo, Hongcheng and Wang, Xianqi and Yao, Jingfeng and Zhu, Lianghui and Pu, Yuechuan and Chi, Cheng and Sun, Haiyang and Wang, Bing and others}, journal={arXiv preprint arXiv:2510.07316}, year={2025} }
Source context: 3 downloads · 0 likes · Pipeline image-to-3d · Repo ApacheOne/ComfyUI-pixel-perfect-depth
Source context: 1 downloads · 0 likes · Pipeline image-to-3d · Repo ApacheOne/ComfyUI-pixel-perfect-depth
