File:Algorithmically-generated photorealistic AI image of Vladimir Putin kneeling to kiss the Ukrainian national flag.png

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Original file ‎(2,048 × 3,072 pixels, file size: 9.02 MB, MIME type: image/png)

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Description

Algorithmically-generated photorealistic image featuring the President of the Russian Federation, Vladimir Vladimirovich Putin, kneeling to kiss the Ukrainian national flag within a dense forest, created using the Stable Diffusion V1-4 AI diffusion model. The purpose of this image is to demonstrate the capability for AI text-to-image models such as Stable Diffusion to generate almost realistic-looking images of fictional situations.

Procedure/Methodology

All images created using a single NVIDIA RTX 3090. Front-end used for the entire generation process is Stable Diffusion web UI created by AUTOMATIC1111.

A single 512x768 image was generated with txt2img using the following prompts:

Prompt: Vladimir Putin kneeling to ((((kiss)))) a ((cloth flag)) he is holding, body fully in frame, Nikon D7500, 4K, sharp focus, photorealistic high-quality, volumetric lighting, close-up, detailed face, forest background

Negative prompt: (((out of frame))), (((no face))), ((deformed hands)), extra limbs, ((ugly)), (((deformed))), ((bad anatomy)), ((mangled)), (((censored))), (blurry), (((distorted face))), mutation, amputee, hugging

Steps: 65, Sampler: DPM2 a, CFG scale: 12, Seed: 3555520055, Face restoration: CodeFormer, Size: 512x768

Using the above seed, txt2img originally generated a United States flag; the flag was replaced with a Ukrainian flag in img2img using the inpainting functionality at 0.8 denoising strength, CFG scale 7, mask blur 4, and 70 steps on Euler a.

Then, two passes of the SD upscale script using "LDSR" were run within img2img. The first pass used a tile overlap of 64, denoising strength of 0.1, 150 sampling steps with Euler a, and a CFG scale of 7. The second pass used a tile overlap of 128, denoising strength of 0.1, 150 sampling steps with Euler a, and a CFG scale of 7. This creates our final 2048x3072 image.
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Author Benlisquare
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Output images

As the creator of the output images, I release this image under the licence displayed within the template below.

Stable Diffusion AI model

The Stable Diffusion AI model is released under the CreativeML OpenRAIL-M License, which "does not impose any restrictions on reuse, distribution, commercialization, adaptation" as long as the model is not being intentionally used to cause harm to individuals, for instance, to deliberately mislead or deceive, and the authors of the AI models claim no rights over any image outputs generated, as stipulated by the license.

Addendum on datasets used to teach AI neural networks
Images generated by Stable Diffusion are algorithmically created based on the AI diffusion model's neural network as a result of learning from various datasets; the algorithm does not use preexisting images from the dataset to create the new image. Ergo, generated artworks cannot be considered derivative works of components from within the original dataset.

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  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
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current15:09, 6 October 2022Thumbnail for version as of 15:09, 6 October 20222,048 × 3,072 (9.02 MB)Benlisquare (talk | contribs){{Information |Description=Algorithmically-generated photorealistic image featuring the President of the Russian Federation, Vladimir Vladimirovich Putin, kneeling to kiss the Ukrainian national flag within a dense forest, created using the [https://github.com/CompVis/stable-diffusion Stable Diffusion V1-4] AI diffusion model. The purpose of this image is to demonstrate the capability for AI text-to-image models such as Stable Diffusion to generate almost realistic-looking images of fictional...

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