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sd-1.5.license
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Copyright (c) 2022 Robin Rombach and Patrick Esser and contributors
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CreativeML Open RAIL-M
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dated August 22, 2022
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Section I: PREAMBLE
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Multimodal generative models are being widely adopted and used, and have
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the potential to transform the way artists, among other individuals,
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conceive and benefit from AI or ML technologies as a tool for content
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creation.
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Notwithstanding the current and potential benefits that these artifacts
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can bring to society at large, there are also concerns about potential
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misuses of them, either due to their technical limitations or ethical
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considerations.
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In short, this license strives for both the open and responsible
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downstream use of the accompanying model. When it comes to the open
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character, we took inspiration from open source permissive licenses
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regarding the grant of IP rights. Referring to the downstream responsible
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use, we added use-based restrictions not permitting the use of the Model
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in very specific scenarios, in order for the licensor to be able to
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enforce the license in case potential misuses of the Model may occur. At
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the same time, we strive to promote open and responsible research on
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generative models for art and content generation.
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Even though downstream derivative versions of the model could be released
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under different licensing terms, the latter will always have to include -
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at minimum - the same use-based restrictions as the ones in the original
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license (this license). We believe in the intersection between open and
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responsible AI development; thus, this License aims to strike a balance
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between both in order to enable responsible open-science in the field of
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AI.
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This License governs the use of the model (and its derivatives) and is
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informed by the model card associated with the model.
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NOW THEREFORE, You and Licensor agree as follows:
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1. Definitions
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- "License" means the terms and conditions for use, reproduction, and
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Distribution as defined in this document.
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- "Data" means a collection of information and/or content extracted from
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the dataset used with the Model, including to train, pretrain, or
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otherwise evaluate the Model. The Data is not licensed under this
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License.
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- "Output" means the results of operating a Model as embodied in
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informational content resulting therefrom.
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- "Model" means any accompanying machine-learning based assemblies
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(including checkpoints), consisting of learnt weights, parameters
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(including optimizer states), corresponding to the model architecture as
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embodied in the Complementary Material, that have been trained or tuned,
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in whole or in part on the Data, using the Complementary Material.
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- "Derivatives of the Model" means all modifications to the Model, works
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based on the Model, or any other model which is created or initialized by
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transfer of patterns of the weights, parameters, activations or output of
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the Model, to the other model, in order to cause the other model to
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perform similarly to the Model, including - but not limited to -
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distillation methods entailing the use of intermediate data
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representations or methods based on the generation of synthetic data by
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the Model for training the other model.
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- "Complementary Material" means the accompanying source code and scripts
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used to define, run, load, benchmark or evaluate the Model, and used to
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prepare data for training or evaluation, if any. This includes any
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accompanying documentation, tutorials, examples, etc, if any.
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- "Distribution" means any transmission, reproduction, publication or
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other sharing of the Model or Derivatives of the Model to a third party,
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including providing the Model as a hosted service made available by
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electronic or other remote means - e.g. API-based or web access.
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- "Licensor" means the copyright owner or entity authorized by the
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copyright owner that is granting the License, including the persons or
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entities that may have rights in the Model and/or distributing the Model.
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- "You" (or "Your") means an individual or Legal Entity exercising
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permissions granted by this License and/or making use of the Model for
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whichever purpose and in any field of use, including usage of the Model
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in an end-use application - e.g. chatbot, translator, image generator.
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- "Third Parties" means individuals or legal entities that are not under
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common control with Licensor or You.
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- "Contribution" means any work of authorship, including the original
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version of the Model and any modifications or additions to that Model or
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Derivatives of the Model thereof, that is intentionally submitted to
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Licensor for inclusion in the Model by the copyright owner or by an
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individual or Legal Entity authorized to submit on behalf of the
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copyright owner. For the purposes of this definition, "submitted" means
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any form of electronic, verbal, or written communication sent to the
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Licensor or its representatives, including but not limited to
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communication on electronic mailing lists, source code control systems,
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and issue tracking systems that are managed by, or on behalf of, the
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Licensor for the purpose of discussing and improving the Model, but
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excluding communication that is conspicuously marked or otherwise
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designated in writing by the copyright owner as "Not a Contribution."
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- "Contributor" means Licensor and any individual or Legal Entity on
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behalf of whom a Contribution has been received by Licensor and
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subsequently incorporated within the Model.
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Section II: INTELLECTUAL PROPERTY RIGHTS
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Both copyright and patent grants apply to the Model, Derivatives of the
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Model and Complementary Material. The Model and Derivatives of the Model
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are subject to additional terms as described in Section III.
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2. Grant of Copyright License. Subject to the terms and conditions of
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this License, each Contributor hereby grants to You a perpetual,
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worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright
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license to reproduce, prepare, publicly display, publicly perform,
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