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<h2><a href="https://github.com/sczhou/CodeFormer/blob/master/LICENSE">CodeFormer</a></h2> | |
<small>Parts of CodeFormer code had to be copied to be compatible with GFPGAN.</small> | |
<pre> | |
S-Lab License 1.0 | |
Copyright 2022 S-Lab | |
Redistribution and use for non-commercial purpose in source and | |
binary forms, with or without modification, are permitted provided | |
that the following conditions are met: | |
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notice, this list of conditions and the following disclaimer. | |
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notice, this list of conditions and the following disclaimer in | |
the documentation and/or other materials provided with the | |
distribution. | |
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. | |
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | |
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | |
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In the event that redistribution and/or use for commercial purpose in | |
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please contact the contributor(s) of the work. | |
</pre> | |
<h2><a href="https://github.com/victorca25/iNNfer/blob/main/LICENSE">ESRGAN</a></h2> | |
<small>Code for architecture and reading models copied.</small> | |
<pre> | |
MIT License | |
Copyright (c) 2021 victorca25 | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
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</pre> | |
<h2><a href="https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE">Real-ESRGAN</a></h2> | |
<small>Some code is copied to support ESRGAN models.</small> | |
<pre> | |
BSD 3-Clause License | |
Copyright (c) 2021, Xintao Wang | |
All rights reserved. | |
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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this software without specific prior written permission. | |
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</pre> | |
<h2><a href="https://github.com/invoke-ai/InvokeAI/blob/main/LICENSE">InvokeAI</a></h2> | |
<small>Some code for compatibility with OSX is taken from lstein's repository.</small> | |
<pre> | |
MIT License | |
Copyright (c) 2022 InvokeAI Team | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
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in the Software without restriction, including without limitation the rights | |
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copies of the Software, and to permit persons to whom the Software is | |
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The above copyright notice and this permission notice shall be included in all | |
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
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SOFTWARE. | |
</pre> | |
<h2><a href="https://github.com/Hafiidz/latent-diffusion/blob/main/LICENSE">LDSR</a></h2> | |
<small>Code added by contirubtors, most likely copied from this repository.</small> | |
<pre> | |
MIT License | |
Copyright (c) 2022 Machine Vision and Learning Group, LMU Munich | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
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in the Software without restriction, including without limitation the rights | |
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The above copyright notice and this permission notice shall be included in all | |
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
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SOFTWARE. | |
</pre> | |
<h2><a href="https://github.com/pharmapsychotic/clip-interrogator/blob/main/LICENSE">CLIP Interrogator</a></h2> | |
<small>Some small amounts of code borrowed and reworked.</small> | |
<pre> | |
MIT License | |
Copyright (c) 2022 pharmapsychotic | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
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</pre> | |
<h2><a href="https://github.com/JingyunLiang/SwinIR/blob/main/LICENSE">SwinIR</a></h2> | |
<small>Code added by contributors, most likely copied from this repository.</small> | |
<pre> | |
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<h2><a href="https://github.com/AminRezaei0x443/memory-efficient-attention/blob/main/LICENSE">Memory Efficient Attention</a></h2> | |
<small>The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package that Alex Birch optimized for 3D tensors. This license is updated to reflect that.</small> | |
<pre> | |
MIT License | |
Copyright (c) 2023 Alex Birch | |
Copyright (c) 2023 Amin Rezaei | |
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