DescriptionAlgorithmically-generated artworks of women in imitation thick brushstroke style.png | Algorithmically-generated AI artworks consisting of young women wearing modern-day clothing, in imitation thick brushstroke painted style, created using the Stable Diffusion V1-4 AI diffusion model. - Procedure/Methodology
All artworks created using a single NVIDIA RTX 3090. Front-end used for the entire generation process is Stable Diffusion web UI created by AUTOMATIC1111. A batch of nine 512x512 images were generated with txt2img using the following prompts: Prompt: busty young girl, art style of Michael Garmash
Negative prompt: (((deformed))), bad anatomy, disfigured, mutation, mutated, (extra_limb), (ugly), ((((mutated hands and fingers))))
Steps: 50, Sampler: LMS, CFG scale: 7.5 Then, two passes of the SD upscale script using "Real-ESRGAN 4x plus anime 6B" were run within img2img. The first pass used a tile overlap of 64, denoising strength of 0.3, 50 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, 10 sampling steps with Euler a, and a CFG scale of 7. |
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
Artworks 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, nor can any coincidental resemblance to any particular artist's drawing style fall foul of de minimis. While an artist can claim copyright over individual works, they cannot claim copyright over mere resemblance over an artistic drawing or painting style. In simpler terms, Vincent van Gogh can claim copyright to The Starry Night, however he cannot claim copyright to a picture of a T-34 tank painted with similar brushstroke styles as Gogh's The Starry Night created by someone else. |