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
Modellquelle
- Art
- Other
- Dateigröße
- 1,23–3,57 GB
- Version
- vRevision 34947ed
- Aktualisiert
- 7. Okt. 2026
- Downloads
- 3
- Quelle
- Hugging Face
Quellenbeschreibung
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}
}
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 30. Aug.
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Modellartefakte
6 Artefakte
Modellartefakte
6 ArtefakteVideo/model.safetensors
safetensors · 3,57 GB · SHA-256 33580e4702ac…875d · Hugging Face
Download fileQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- 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
