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| license: cc-by-nc-4.0 | |
| tags: | |
| - depth-estimation | |
| - monocular-depth | |
| - video-depth | |
| - safetensors | |
| - comfyui | |
| library_name: safetensors | |
| pipeline_tag: depth-estimation | |
| base_model: | |
| - depth-anything/Video-Depth-Anything-Large | |
| - depth-anything/Depth-Anything-V2-Large | |
| # Depth Anything, fp16 safetensors | |
| Two depth models converted to fp16 `safetensors`, nothing else changed. They are | |
| the pair used by the **TS Universal Depth** node in | |
| [comfyui-timesaver](https://github.com/AlexYez/comfyui-timesaver): one for | |
| single images, one for video. | |
| | file | source | what it is for | size | | |
| | --- | --- | --- | ---: | | |
| | `depth_anything_v2_vitl_fp16.safetensors` | [depth-anything/Depth-Anything-V2-Large](https://huggingface.co/depth-anything/Depth-Anything-V2-Large) | a single image | 640 MB | | |
| | `video_depth_anything_vitl_fp16.safetensors` | [depth-anything/Video-Depth-Anything-Large](https://huggingface.co/depth-anything/Video-Depth-Anything-Large) | a sequence, temporally consistent | 734 MB | | |
| ## β οΈ Licence: CC BY-NC 4.0 β non-commercial | |
| Both upstream checkpoints are published under | |
| [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/), and this | |
| conversion inherits it unchanged. **You may not use these weights for commercial | |
| purposes.** Attribution goes to the Depth Anything authors; this repository | |
| holds no rights of its own beyond the conversion. | |
| If you need a permissive licence, the *Small* variant of Depth Anything V2 is | |
| Apache-2.0 β a different model, not a smaller copy of this one. | |
| ## What was changed | |
| Exactly two things, both mechanical: | |
| 1. **float32 β float16.** Nothing was pruned, quantised or re-trained. | |
| 2. **`.pth` β `.safetensors`.** The tensors and their names are identical. | |
| Every file carries its provenance in the safetensors metadata: the upstream | |
| repository, the upstream filename and the **sha256 of the original `.pth`** it | |
| was converted from, so the chain back to the source is checkable rather than | |
| promised. | |
| ```python | |
| from safetensors import safe_open | |
| with safe_open("depth_anything_v2_vitl_fp16.safetensors", framework="pt") as f: | |
| print(f.metadata()) | |
| ``` | |
| | file | sha256 of the original `.pth` | | |
| | --- | --- | | |
| | `depth_anything_v2_vitl_fp16.safetensors` | `a7ea19fa0ed99244e67b624c72b8580b7e9553043245905be58796a608eb9345` | | |
| | `video_depth_anything_vitl_fp16.safetensors` | `43df27c6b396042ba34ff7b798ab279f64d204d2e86d7a373968f8fa36d0e6fa` | | |
| ## Does fp16 cost quality? | |
| Measured, not assumed. Depth maps were rendered from the same images at 518 px | |
| on an RTX 3080 Ti, and each variant compared against **pure fp32 with autocast | |
| disabled**, on the normalised 0..1 depth map: | |
| | variant | mean deviation | worst pixel | | |
| | --- | ---: | ---: | | |
| | fp32 weights + autocast | 0.020 % | 0.39 % | | |
| | **fp16 weights (this repo) + autocast** | **0.016 β 0.020 %** | 0.51 % | | |
| | fp16 weights and fp16 compute | 0.021 % | 0.61 % | | |
| The dominant difference is autocast itself; storing the weights in fp16 adds | |
| almost nothing on top of it. Half the download, half the disk, no visible cost. | |
| ## Loading | |
| ```python | |
| from safetensors.torch import load_file | |
| state = load_file("video_depth_anything_vitl_fp16.safetensors") | |
| model.load_state_dict(state) # architecture from the upstream project | |
| ``` | |
| Architectures live in the original projects β | |
| [Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2) and | |
| [Video-Depth-Anything](https://github.com/DepthAnything/Video-Depth-Anything). | |
| This repository ships weights only. | |
| ## Citation | |
| ```bibtex | |
| @article{depth_anything_v2, | |
| title = {Depth Anything V2}, | |
| author = {Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen | |
| and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, | |
| journal = {arXiv:2406.09414}, | |
| year = {2024} | |
| } | |
| @article{video_depth_anything, | |
| title = {Video Depth Anything: Consistent Depth Estimation for Super-Long Videos}, | |
| author = {Chen, Sili and Guo, Hengkai and Zhu, Shengnan and Zhang, Feihu | |
| and Huang, Zilong and Feng, Jiashi and Kang, Bingyi}, | |
| journal = {arXiv:2501.12375}, | |
| year = {2025} | |
| } | |
| ``` | |