CodeFormer

Parts of CodeFormer code had to be copied to be compatible with GFPGAN.

S-Lab License 1.0

Copyright 2022 S-Lab

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ESRGAN

Code for architecture and reading models copied.

MIT License

Copyright (c) 2021 victorca25

Permission is hereby granted, free of charge, to any person obtaining a copy
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Real-ESRGAN

Some code is copied to support ESRGAN models.

BSD 3-Clause License

Copyright (c) 2021, Xintao Wang
All rights reserved.

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modification, are permitted provided that the following conditions are met:

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InvokeAI

Some code for compatibility with OSX is taken from lstein's repository.

MIT License

Copyright (c) 2022 InvokeAI Team

Permission is hereby granted, free of charge, to any person obtaining a copy
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LDSR

Code added by contirubtors, most likely copied from this repository.

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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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

CLIP Interrogator

Some small amounts of code borrowed and reworked.

MIT License

Copyright (c) 2022 pharmapsychotic

Permission is hereby granted, free of charge, to any person obtaining a copy
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SwinIR

Code added by contributors, most likely copied from this repository.

                                 Apache License
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   Copyright [2021] [SwinIR Authors]

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Memory Efficient Attention

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.

MIT License

Copyright (c) 2023 Alex Birch
Copyright (c) 2023 Amin Rezaei

Permission is hereby granted, free of charge, to any person obtaining a copy
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Scaled Dot Product Attention

Some small amounts of code borrowed and reworked.

   Copyright 2023 The HuggingFace Team. All rights reserved.

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

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Curated transformers

The MPS workaround for nn.Linear on macOS 13.2.X is based on the MPS workaround for nn.Linear created by danieldk for Curated transformers

The MIT License (MIT)

Copyright (C) 2021 ExplosionAI GmbH

Permission is hereby granted, free of charge, to any person obtaining a copy
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

TAESD

Tiny AutoEncoder for Stable Diffusion option for live previews

MIT License

Copyright (c) 2023 Ollin Boer Bohan

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