Resized to 14% of original (view original)
Prompt | young woman, fully clothed, volumetric lighting, mountain forest background |
---|---|
Negative prompt | nude, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name |
Sampler | DPM2 |
Steps | 100 |
Cfg Scale | 7 |
Model Hash | 1a7df6b8 |
X-Y plot of algorithmically-generated AI art demonstrating Hypernetworks
An X/Y plot of algorithmically-generated AI artworks depicting a woman in various different settings, created using a custom-trained anime-focused Stable Diffusion-based model known as "Anything V3.0" (with hash 1a7df6b8) created by Furqanil Taqwa. This plot serves to demonstrate the usage of Hypernetworks, a technique created by Kurumuz in 2021 which allows Stable Diffusion-based image generation models to imitate the art style of specific artists, even if the artist is not recognised by the original diffusion model, by applying a small neural network at various points within the larger network.
Hypernetworks trained on the artstyles of the following artists were used:
As109, a Chinese artist. Trained on 440 samples using 75,000 steps on 0.0000005 LR.
Asanagi (朝凪), a Japanese artist and the sole member of the Fatalpulse dōjin circle. Trained using 118,500 steps.
homunculus (ホムンクルス), a Japanese artist and mangaka. Trained using 90,000 steps on 5e-7 LR with no normalisation, and layer structure 1.0, 2.0, 1.0.
j.k., a Canadian artist.
Ohisashiburi (お久しぶり), a Japanese artist. Trained with 1e-5 LR up to 7,000 steps, and 5e-6 LR up to 180,000 steps, with layer structure 1.0, 1.5, 1.5, 1.0, mish activation function, normal weight initialisation, layer norm set to false, dropout usage set to true.
Takayaki (たかやKi), a Japanese artist and member of the Jenoa Cake (じぇのばけーき) dōjin circle. Trained on 90 samples using 100,000 steps on 0.0000005 LR.
Date 3 December 2022
Author Benlisquare
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.