<p>Algorithmically-generated AI artworks consisting of short haired women in dynamic posing, in abstract style, created using the <a rel="nofollow" class="external text" href="https://github.com/CompVis/stable-diffusion">Stable Diffusion V1-4</a> AI diffusion model.
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<dl><dt>Procedure/Methodology</dt></dl><p>All artworks created using a single NVIDIA RTX 3090. Front-end used for the entire generation process is <a rel="nofollow" class="external text" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">Stable Diffusion web UI</a> created by <a rel="nofollow" class="external text" href="https://github.com/AUTOMATIC1111">AUTOMATIC1111</a>.
</p><p>A batch of twelve 512x512 images were generated with txt2img using the following prompts:
</p><p><code>Prompt: 19-year-old blonde busty girl, short straight undercut hair, dynamic posing, art style of Albert Lynch, Carne Griffiths, Franz Xaver Winterhal</code>
</p><p><code>Negative prompt: (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing, ((((mutated hands and fingers))))</code>
</p><p><code>Settings: Steps: 50, Sampler: Euler a, CFG scale: 7</code>
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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.
<a href="//commons.wikimedia.org/wiki/User:Benlisquare" title="User:Benlisquare">Benlisquare</a>
CC BY-SA 4.0
<span class="int-own-work" lang="en">Own work</span>