File:X-Y plot of algorithmically-generated AI art by different science-fiction subgenres.png

原始文件 (6,912 × 3,211像素,文件大小:31 MB,MIME类型:image/png


摘要

描述

An X/Y plot of algorithmically-generated AI portrait artworks depicting the aesthetics of different science-fiction subgenres, created using a custom merged Stable Diffusion AI diffusion model checkpoint featuring wd-v1-3-full.ckpt merged with F111 and Stable Diffusion V1-5 at 0.5 sigmoid, and then merged with R34_e4 at 0.25 weighted sum. This plot serves to illustrate how the replacement of a single keyword within a text prompt can alter the aesthetic style of an AI-generated artwork.

Procedure/Methodology

These images were generated using an NVIDIA RTX 4090; since Ada Lovelace chipsets (using compute capability 8.9, which requires CUDA 11.8) are not fully supported by the pyTorch dependency libraries currently used by Stable Diffusion, I've used a custom build of xformers, along with pyTorch cu116 and cuDNN v8.6, as a temporary workaround. Front-end used for the entire generation process is Stable Diffusion web UI created by AUTOMATIC1111.

A batch of 768x1024 images were generated with txt2img using the following prompts:

Prompt: extremely detailed, 1girl, (solo:1.3), (white skin:1.0), (beautiful eyes, long eyelashes, hair between eyes, slicked back hair, hair spread out, very long hair, (messy hair:1.0), bangs, :3, parted lips), skindentation, spread hair, soft skin, glossy skin, fisheye, soft focus, (cyberpunk outfit:1.2), (cyberpunk clothes:1.2), (cyberpunk setting in background:1.2)

Negative prompt: 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, deformed, broken body, mutated, extra hands, extra feet, extra arms, extra legs, multiple views, ribbon, pregnant, steam, fat, chubby, obese, bats, bat wings

Settings: Steps: 40, Sampler: Euler a, CFG scale: 9, Size: 768x1024, Highres. fix, Denoising strength: 0.7

During the generation of this batch, the X/Y plot was generated using the "X/Y plot" txt2img script, along with the following settings:

  • X-axis: Prompt S/R: cyberpunk, steampunk, dieselpunk, biopunk, cassettepunk, atompunk, cyberpop, gothic, fantasy
  • Y-axis: Seed: -1, -1, -1
This script searches for the first value (in this case "cyberpunk") within the prompt, and replaces the string with the subsequent comma-separated values.
日期
来源 自己的作品
作者 Benlisquare
授权
(二次使用本文件)
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.

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  • 署名 – 您必须对作品进行署名,提供授权条款的链接,并说明是否对原始内容进行了更改。您可以用任何合理的方式来署名,但不得以任何方式表明许可人认可您或您的使用。
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Usage notes

To display a single grid cell individually, use the {{CSS image crop}} template. For example:

Quarter size

{{CSS image crop |Image=X-Y plot of algorithmically-generated AI art by different science-fiction subgenres.png | bSize = 3456 | cWidth = 384 | cHeight = 512 | oTop = 581 | oLeft = 2304 | Location = none | Description = | Alt = }}

Sixteenth size

{{CSS image crop |Image=X-Y plot of algorithmically-generated AI art by different science-fiction subgenres.png | bSize = 1728 | cWidth = 192 | cHeight = 256 | oTop = 292 | oLeft = 576 | Location = none | Description = | Alt = }}

If using native resolution (warning, very wasteful use of bandwidth), start from an initial top offset value of 139, and then progress each row using multiples of 1024; meanwhile, columns are progressed using increments of 768 starting from zero. Depending on the set size of the image, the vertical offset values should remain divisible by 64/128/256/512/etc plus the initial offset for the header, while the horizontal offset values would be divisible by 48/96/192/384/etc, assuming appropriate size, width and height values have been chosen. Divide the initial top offset of 139 by the same ratio that you wish to rescale the image to, rounding up if it is not a whole number.

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点击某个日期/时间查看对应时刻的文件。

日期/时间缩⁠略⁠图大小用户备注
当前2022年11月2日 (三) 12:362022年11月2日 (三) 12:36版本的缩略图6,912 × 3,211(31 MB)Benlisquareuse upscaled latent space to ensure that finer details are generated. still using SD ft-mse-original VAE
2022年11月1日 (二) 09:182022年11月1日 (二) 09:18版本的缩略图6,912 × 3,211(29.62 MB)Benlisquareuse SD ft-mse-original VAE to adjust minor details
2022年10月31日 (一) 14:292022年10月31日 (一) 14:29版本的缩略图6,912 × 3,211(29.39 MB)Benlisquareinpaint those horrifying looking hands
2022年10月30日 (日) 11:432022年10月30日 (日) 11:43版本的缩略图6,912 × 3,211(29.4 MB)Benlisquare{{Information |Description=An X/Y plot of algorithmically-generated AI portrait artworks depicting the aesthetics of different science-fiction subgenres, created using a custom merged Stable Diffusion AI diffusion model checkpoint featuring [https://huggingface.co/hakurei/waifu-diffusion wd-v1-3-full.ckpt] merged with [https://ai.zeipher.com/ F111] and [https://huggingface.co/runwayml/stable-diffusion-v1-5 Stable Diffusion V1-5] at 0.5 sigmoid, and then merged with R3...

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