49 lines
2.2 KiB
Plaintext
49 lines
2.2 KiB
Plaintext
Acknowledgements
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Portions of this STARFLOW Software may utilize the following copyrighted
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material, the use of which is hereby acknowledged.
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_____________________
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The Alibaba Wan Team Authors (Wan2.2)
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Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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Portions of the VAE implementation in misc/wan_vae2.py are based on or adapted from
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the Wan2.2 project (https://github.com/Wan-Video/Wan2.2).
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ByteDance Ltd. (1D-Tokenizer)
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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Portions of the loss functions and discriminator implementations in misc/ae_losses.py
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and misc/discriminator.py are based on or adapted from the 1D-Tokenizer project
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(https://github.com/bytedance/1d-tokenizer).
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CompVis (Taming Transformers)
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Portions of the LPIPS implementation in misc/lpips.py are based on or adapted from
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the Taming Transformers project. References:
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- https://github.com/CompVis/taming-transformers/blob/master/taming/modules/losses/lpips.py
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- https://github.com/CompVis/taming-transformers/blob/master/taming/util.py
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- https://github.com/CompVis/taming-transformers/blob/master/taming/modules/losses/vqperceptual.py
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