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File:Algorithmically-generated black and white portrait art of a young Japanese woman in the snow.png

原始文件 ‎（2,048 × 4,096像素，文件大小：11.19 MB，MIME类型：image/png）

摘要

描述

Algorithmically-generated AI portrait artwork in monochrome style, featuring a young Japanese woman at the front of a castle on a snowy day, 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 single 512x768 image was generated with txt2img using the following prompts:

Prompt: black and white, highly detailed line art, (close up shot of:0.6) (full body1.3) of a teenage Japanese geisha girl (pretty face:1.4) (realistic eyes:1.2) (detailed pupils) (ornate coiffed hair), in front of battlements, on a moonlit night, snowfall, [:falling snowflakes:0.7], by (Yoji Shinkawa:1.2), (Kentaro Miura), (WLOP), (Artgerm), (intricate human hands), [bodycon] intricate

Negative prompt: disney, two heads, ((mutated hands and fingers and face and nose)) (walleyed), blurred face, ((poorly drawn face)) (long neck) ((ugly)) frown, ((neutral expressions)), curly hair, [[child]]

Settings: Steps: 50, Sampler: Euler a, CFG scale: 6, Size: 512x768

Afterwards, the image was extended by 256 pixels total on the bottom using two 128 pixel passes of the "Outpainting mk2" script within img2img. This was done using a setting of 100 sampling steps with Euler a, denoising strength of 0.8, CFG scale of 7, mask blur of 8, fall-off exponent value of 1.8, colour variation set to 0.03. This subsequently increases the image's dimensions to 512x1024, while also revealing the young woman's hands and lower dress, which were previously absent from the original AI-generated image made within txt2img which only featured the woman from the navel upwards.

Then, two passes of the SD upscale script using "SwinIR_4x" were run within img2img. The first pass used a tile overlap of 64, denoising strength of 0.1, 150 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, 150 sampling steps with Euler a, and a CFG scale of 7. This creates our final 2048x4096 image.
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.

许可协议

Public domain
这个作品属于公有领域，因为其由计算机算法或人工智能生成，不包含足够的人类作者信息来支持版权主张。
英国以及香港为计算机生成的作品提供自创作后50年的有限版权期限。 [1][2]
AI derivative works 法律免责声明
大多数图像生成人工智能模型都是使用受版权保护的作品进行训练的。在某些情况下，此类模型可以生成包含受版权保护的训练图像的主要版权元素的图像，从而使这些输出物成为衍生作品。因此，上传到维基共享资源的人工智能生成的艺术作品可能会侵犯原始作品作者的权利。有关更多详细信息，请参阅共享资源:人工智能生成媒体文件。

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创作作者 简体中文（已转写）

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作者姓名字符串 简体中文（已转写）：​Benlisquare
维基媒体用户名 简体中文（已转写）：​Benlisquare
网址：​https://commons.wikimedia.org/wiki/User:Benlisquare

版权状态 简体中文（已转写）

版权所有 简体中文（已转写）

媒体类型 简体中文（已转写）

image/png

文件来源 简体中文（已转写）

上传者的原创作品 简体中文（已转写）

校验和 简体中文（已转写）

85e491d4b02985c4ea993dd1f12b01b1a18319ea

断定方法：​SHA-1 简体中文（已转写）

数据大小 简体中文（已转写）

11,730,108 字节

高度

4,096 像素

宽度

2,048 像素

隶属于

人工智能生成图像 简体中文（已转写）

类型 简体中文（已转写）

人工智能艺术 简体中文（已转写）

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当前2022年10月7日 (五) 22:472022年10月7日 (五) 22:47版本的缩略图2,048 × 4,096（11.19 MB）Benlisquare{{Information |Description=Algorithmically-generated AI portrait artwork in monochrome style, featuring a young Japanese woman at the front of a castle on a snowy day, created using the [https://github.com/CompVis/stable-diffusion 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 [https://github.com/AUTOMATIC1111/stable-diffusion-webui Stable Diffusion web UI] created by [...

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