controlnet-depth-1.5.license

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