## 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

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## Real-ESRGAN

Some code is copied to support ESRGAN models.

    BSD 3-Clause License

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    All rights reserved.

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## InvokeAI

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

    MIT License

    Copyright (c) 2022 InvokeAI Team

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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

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    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.

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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.
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          http://www.apache.org/licenses/LICENSE-2.0

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       distributed under the License is distributed on an "AS IS" BASIS,
       WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
       See the License for the specific language governing permissions and
       limitations under the License.

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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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## TAESD

Tiny AutoEncoder for Stable Diffusion option for live previews

    MIT License

    Copyright (c) 2023 Ollin Boer Bohan

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