DescriptionAlgorithmically-generated photorealistic AI image of Vladimir Putin kneeling to kiss the Ukrainian national flag.png |
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. |
Permission (Reusing this file) |
- 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. |