File:X-Y plot of algorithmically-generated AI art by different science-fiction subgenres.png
![File:X-Y plot of algorithmically-generated AI art by different science-fiction subgenres.png](https://upload.wikimedia.org/wikipedia/commons/thumb/c/cc/X-Y_plot_of_algorithmically-generated_AI_art_by_different_science-fiction_subgenres.png/800px-X-Y_plot_of_algorithmically-generated_AI_art_by_different_science-fiction_subgenres.png?20221102123611)
原始檔案 (6,912 × 3,211 像素,檔案大小:31 MB,MIME 類型:image/png)
說明
說明
摘要
[編輯]描述X-Y plot of algorithmically-generated AI art by different science-fiction subgenres.png |
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.
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:
During the generation of this batch, the X/Y plot was generated using the "X/Y plot" txt2img script, along with the following settings:
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日期 | |
來源 | 自己的作品 |
作者 | Benlisquare |
授權許可 (重用此檔案) |
As the creator of the output images, I release this image under the licence displayed within the template below.
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.
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![]() | File history includes unedited version(s) The upload history for this file includes one or more unedited versions of the file uploaded shortly before the final version was uploaded. The unedited versions are not intended to be used independently, and should not be split out as separate files unless this is needed for a specific known use. |
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![姓名標示](https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Cc-by_new_white.svg/24px-Cc-by_new_white.svg.png)
![相同方式分享](https://upload.wikimedia.org/wikipedia/commons/thumb/d/df/Cc-sa_white.svg/24px-Cc-sa_white.svg.png)
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已授權您依據自由軟體基金會發行的無固定段落、封面文字和封底文字GNU自由文件授權條款1.2版或任意後續版本,對本檔進行複製、傳播和/或修改。該協議的副本列在GNU自由文件授權條款中。http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
Usage notes
[編輯]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.
檔案歷史
點選日期/時間以檢視該時間的檔案版本。
日期/時間 | 縮圖 | 尺寸 | 用戶 | 備註 | |
---|---|---|---|---|---|
目前 | 2022年11月2日 (三) 12:36 | ![]() | 6,912 × 3,211(31 MB) | Benlisquare(對話 | 貢獻) | use upscaled latent space to ensure that finer details are generated. still using SD ft-mse-original VAE |
2022年11月1日 (二) 09:18 | ![]() | 6,912 × 3,211(29.62 MB) | Benlisquare(對話 | 貢獻) | use SD ft-mse-original VAE to adjust minor details | |
2022年10月31日 (一) 14:29 | ![]() | 6,912 × 3,211(29.39 MB) | Benlisquare(對話 | 貢獻) | inpaint those horrifying looking hands | |
2022年10月30日 (日) 11:43 | ![]() | 6,912 × 3,211(29.4 MB) | Benlisquare(對話 | 貢獻) | {{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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檔案用途
下列2個頁面有用到此檔案:
全域檔案使用狀況
以下其他 wiki 使用了這個檔案:
- en.wikipedia.org 的使用狀況
- zh.wikipedia.org 的使用狀況
詮釋資料
此檔案中包含其他資訊,這些資訊可能是由數位相機或掃描器在建立或數位化過程中所新增的。若檔案自原始狀態已被修改,一些詳細資料可能無法完整反映出已修改的檔案。
水平解析度 | 28.35 dpc |
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垂直解析度 | 28.35 dpc |
檔案修改日期時間 | 2022年11月2日 (三) 12:27 |