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The models the OpenPixels web app downloads, pinned by sha256

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LICENSES/DDColor.txt ADDED
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LICENSES/GFPGAN.txt ADDED
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+ BSD 3-Clause License
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+
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+ Copyright (c) 2021, Xintao Wang
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+ All rights reserved.
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LICENSES/YuNet.txt ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) 2020 Shiqi Yu <shiqi.yu@gmail.com>
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
14
+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
LICENSES/qai-hub-models.txt ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Copyright 2025 Qualcomm Technologies, Inc. and/or its subsidiaries.
2
+
3
+ Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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+
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+ 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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+
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+ 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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+
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+ 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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+
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+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS β€œAS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
LICENSES/rembg.txt ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) 2020 Daniel Gatis
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
README.md ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ license_name: per-file
4
+ license_link: https://huggingface.co/openpixels-app/browser-models/tree/main/LICENSES
5
+ library_name: onnx
6
+ pipeline_tag: image-to-image
7
+ tags:
8
+ - onnx
9
+ - onnxruntime-web
10
+ - super-resolution
11
+ - real-esrgan
12
+ - gfpgan
13
+ - face-restoration
14
+ - ddcolor
15
+ - colorization
16
+ - background-removal
17
+ - u2net
18
+ - modnet
19
+ - yunet
20
+ - face-detection
21
+ ---
22
+
23
+ # OpenPixels models
24
+
25
+ The ONNX files the [OpenPixels](https://openpixels.app) web app downloads to
26
+ run in the visitor's own browser: photo upscaling, denoising, face
27
+ restoration, colourisation and background removal. Nothing here is new
28
+ research. Every file is an existing open model, converted or repackaged so a
29
+ browser can run it with onnxruntime-web, and each keeps its own upstream
30
+ licence, listed below and included in full in [`LICENSES/`](LICENSES).
31
+
32
+ The app downloads each file once, from a URL that names a commit of this
33
+ repository rather than a branch, and checks it against the sha256 below
34
+ before using it. Photos are never sent anywhere: they are processed on the
35
+ visitor's device.
36
+
37
+ **Files here are never replaced.** A changed model is published under a new
38
+ file name, so an app pinned to an earlier commit keeps working and every
39
+ checksum below stays true.
40
+
41
+ ## Files
42
+
43
+ | File | Bytes | Task | Licence |
44
+ |---|---:|---|---|
45
+ | `realesr_general_x4v3.onnx` | 4,866,422 | 4Γ— upscale, strong denoise | BSD-3-Clause |
46
+ | `realesr_general_x4v3_dn50.onnx` | 4,866,422 | 4Γ— upscale, medium denoise | BSD-3-Clause |
47
+ | `realesr_general_wdn_x4v3.onnx` | 4,866,422 | 4Γ— upscale, light denoise | BSD-3-Clause |
48
+ | `realesrgan_x4plus_w16.onnx` | 33,724,311 | 4Γ— upscale, detailed | BSD-3-Clause |
49
+ | `realesrgan_x4plus_anime_6b_w16.onnx` | 9,023,048 | 4Γ— upscale, drawings and anime | BSD-3-Clause |
50
+ | `gfpgan_1.4_w16.onnx` | 170,305,678 | Face restoration | Apache-2.0, with the notices in GFPGAN's LICENSE (below) |
51
+ | `ddcolor_paper_tiny_w16.onnx` | 115,401,645 | Colourisation | Apache-2.0 |
52
+ | `u2netp.onnx` | 4,574,861 | Background removal | Apache-2.0 |
53
+ | `modnet_photographic_portrait_matting.onnx` | 25,888,640 | Background removal for portraits | Apache-2.0 |
54
+ | `face_detection_yunet_2023mar.onnx` | 232,589 | Face detection | MIT |
55
+
56
+ ```
57
+ 0e121299bf9b23a764d3f9e2120d0d0727d5ac5032e03a46cb78d28bcc7c6872 realesr_general_x4v3.onnx
58
+ b345bc59c38dbb78d871b5adf9519c475fe243c198f70cc9d0b97a464715d50b realesr_general_x4v3_dn50.onnx
59
+ be536211515f088de05f1aa799a8079e92f49978b47aad6cec007f9fca62bb68 realesr_general_wdn_x4v3.onnx
60
+ 29fbb9bc95708f9f63966804a389be77fe060dbdda882402bd1592a10908d364 realesrgan_x4plus_w16.onnx
61
+ 26e4edb17ecd25676f58ffca1af3352cbd928bd4bc2eaec1461b7b72be0a2c41 realesrgan_x4plus_anime_6b_w16.onnx
62
+ 008e67bccdcbdb611273f106dca6f88703cd02884b3ac35dbb8b3785c99a2831 gfpgan_1.4_w16.onnx
63
+ 87854113d29989a6fc3c680b92b21f2cd5377a54b5babd0c5d2a53469f59244a ddcolor_paper_tiny_w16.onnx
64
+ 309c8469258dda742793dce0ebea8e6dd393174f89934733ecc8b14c76f4ddd8 u2netp.onnx
65
+ 07c308cf0fc7e6e8b2065a12ed7fc07e1de8febb7dc7839d7b7f15dd66584df9 modnet_photographic_portrait_matting.onnx
66
+ 8f2383e4dd3cfbb4553ea8718107fc0423210dc964f9f4280604804ed2552fa4 face_detection_yunet_2023mar.onnx
67
+ ```
68
+
69
+ The scripts that produced every converted file, and the full provenance
70
+ notes, are in the app's source repository:
71
+ [MODELS.md](https://gitlab.com/openpixelsapp/OpenPixels/-/blob/main/MODELS.md).
72
+
73
+ ## What `_w16` means
74
+
75
+ The four `*_w16.onnx` files are the float32 networks with every weight of
76
+ 1,024 values or more stored as float16 and followed by a `Cast` back to
77
+ float32. Nothing else in the graph changes. onnxruntime folds the casts into
78
+ ordinary float32 weights when it builds the session, so all arithmetic is
79
+ still float32; what is lost is the rounding of each weight to 11 significant
80
+ bits. Measured against the float32 files over ten real photographs, the
81
+ outputs agree to 59–69 dB PSNR, and no pixel differs by more than 5 of 255
82
+ levels. The download is half the size.
83
+
84
+ ## Where each file comes from
85
+
86
+ **Real-ESRGAN** β€” Xintao Wang et al., <https://github.com/xinntao/Real-ESRGAN>.
87
+ BSD 3-Clause License, Copyright (c) 2021, Xintao Wang
88
+ ([`LICENSES/Real-ESRGAN.txt`](LICENSES/Real-ESRGAN.txt)). Real-ESRGAN
89
+ publishes PyTorch weights; these ONNX files are exports of them, checked
90
+ against the PyTorch forward pass.
91
+
92
+ - `realesr_general_x4v3.onnx` β€” exported from `realesr-general-x4v3.pth`
93
+ (release v0.2.5.0).
94
+ - `realesr_general_wdn_x4v3.onnx` β€” exported from
95
+ `realesr-general-wdn-x4v3.pth` (release v0.2.5.0).
96
+ - `realesr_general_x4v3_dn50.onnx` β€” the two state dicts above interpolated
97
+ 50/50 before export, which is what Real-ESRGAN's own
98
+ `--denoise_strength 0.5` does at run time.
99
+ - `realesrgan_x4plus_w16.onnx` β€” exported from `RealESRGAN_x4plus.pth`
100
+ (release v0.1.0), weights stored at half size as described above.
101
+ - `realesrgan_x4plus_anime_6b_w16.onnx` β€” exported from
102
+ `RealESRGAN_x4plus_anime_6B.pth` (release v0.2.2.4), likewise.
103
+
104
+ **GFPGAN v1.4** β€” Tencent ARC, <https://github.com/TencentARC/GFPGAN>.
105
+ `gfpgan_1.4_w16.onnx` is `gfpgan_1.4.onnx` as published in
106
+ [facefusion/models-3.0.0](https://huggingface.co/facefusion/models-3.0.0)
107
+ (sha256 `accc4757…1385`), with its weights stored at half size as described
108
+ above. That repository publishes the file without a model card; its name
109
+ corresponds to the GFPGAN v1.4 weights, which Tencent ARC distributes as
110
+ `GFPGANv1.4.pth` in GFPGAN release v1.3.0.
111
+
112
+ GFPGAN's LICENSE ([`LICENSES/GFPGAN.txt`](LICENSES/GFPGAN.txt), included
113
+ unchanged) reads: *"GFPGAN is licensed under the Apache License Version 2.0
114
+ except for the third-party components listed below."* Those components are
115
+ source code in the GFPGAN repository, and two of them carry non-commercial
116
+ terms: StyleGAN2 code, modified from rosinality's stylegan2-pytorch, whose
117
+ upstream (NVlabs/stylegan2) is under the NVIDIA licence reproduced there,
118
+ including its section 3.3 use limitation; and code "largely modified from"
119
+ DFDNet, under CC BY-NC-SA 4.0. GFPGAN's README separately offers a "clean"
120
+ version of the architecture that does not require its customised CUDA
121
+ extensions. The full text is included so the terms can be read as they are
122
+ written rather than as summarised here.
123
+
124
+ **DDColor** β€” Xiaoyang Kang et al., <https://github.com/piddnad/DDColor>.
125
+ Apache License 2.0 ([`LICENSES/DDColor.txt`](LICENSES/DDColor.txt)).
126
+ `ddcolor_paper_tiny_w16.onnx` comes from the `ddcolor_paper_tiny` ONNX
127
+ export in Qualcomm AI Hub Models release v0.63.0 (`ddcolor-onnx-float.zip`;
128
+ model card licence apache-2.0, AI Hub Models code under BSD-3-Clause,
129
+ [`LICENSES/qai-hub-models.txt`](LICENSES/qai-hub-models.txt)). That release
130
+ is a graph plus a separate weights file; they were merged into one file,
131
+ which gives output identical to the published pair, and the weights were
132
+ then stored at half size as described above.
133
+
134
+ **UΒ²-Net-p** β€” Xuebin Qin et al., <https://github.com/xuebinqin/U-2-Net>.
135
+ Apache License 2.0 ([`LICENSES/U-2-Net.txt`](LICENSES/U-2-Net.txt)).
136
+ `u2netp.onnx` is the file rembg publishes in its release v0.0.0, unchanged
137
+ (<https://github.com/danielgatis/rembg>, MIT,
138
+ [`LICENSES/rembg.txt`](LICENSES/rembg.txt)).
139
+
140
+ **MODNet** β€” Zhanghan Ke et al., <https://github.com/ZHKKKe/MODNet>, whose
141
+ README states that "the code, models, and demos in this repository … are
142
+ released under the Apache License 2.0"
143
+ ([`LICENSES/MODNet.txt`](LICENSES/MODNet.txt)).
144
+ `modnet_photographic_portrait_matting.onnx` is the official photographic
145
+ portrait matting weights as redistributed, unchanged, by HivisionIDPhotos in
146
+ its release `pretrained-model`
147
+ (<https://github.com/Zeyi-Lin/HivisionIDPhotos>, Apache-2.0,
148
+ [`LICENSES/HivisionIDPhotos.txt`](LICENSES/HivisionIDPhotos.txt)).
149
+
150
+ **YuNet** β€” Shiqi Yu et al., OpenCV Zoo,
151
+ <https://github.com/opencv/opencv_zoo/tree/main/models/face_detection_yunet>.
152
+ MIT License, Copyright (c) 2020 Shiqi Yu
153
+ ([`LICENSES/YuNet.txt`](LICENSES/YuNet.txt)).
154
+ `face_detection_yunet_2023mar.onnx` is the file published there, unchanged.
155
+
156
+ ## Changes made to the upstream works
157
+
158
+ As required by the Apache License 2.0, section 4(b): the files marked
159
+ `_w16` have had their weights re-stored as float16 with a cast back to
160
+ float32; `realesr_general_x4v3_dn50.onnx` is an interpolation of two
161
+ upstream state dicts; the Real-ESRGAN files are ONNX exports of PyTorch
162
+ weights; and the DDColor file merges a graph with its external weights.
163
+ Every other file is redistributed byte for byte as its upstream published it.
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