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Stable_Diffusion_architecture.png (435 × 213 pixels, file size: 72 KB, MIME type: image/png)

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Summary

Description Diagram of the architecture of Stable Diffusion, a neural network trained to generate photorealistic images
Date
Source https://github.com/CompVis/latent-diffusion/blob/main/assets/modelfigure.png
Author Machine Vision and Learning Group, LMU Munich

Licensing

This file is licensed under the Expat License, sometimes known as the MIT License:

Copyright © Machine Vision and Learning Group, LMU Munich

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

The Software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other 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.


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22 December 2021

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current19:40, 28 September 2022Thumbnail for version as of 19:40, 28 September 2022435 × 213 (72 KB)Colin M{{Information |Description=Diagram of the architecture of Stable Diffusion, a neural network trained to generate photorealistic images |Source=https://github.com/CompVis/latent-diffusion/blob/main/assets/modelfigure.png |Date=22 December 2021 |Author=Machine Vision and Learning Group, LMU Munich |Permission= |other_versions= }} == {{int:license-header}} == {{MIT|Machine Vision and Learning Group, LMU Munich}} Category:Artificial neural networks Category:Stable Diffusion

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