File:Algorithmically-generated AI-generated artwork of a cyberpunk cityscape.png

原始檔案 (8,192 × 4,096 像素,檔案大小:36.8 MB,MIME 類型:image/png


摘要

描述

Algorithmically-generated AI artwork featuring a cyberpunk cityscape, 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 768x512 image was generated with txt2img using the following prompts:

Prompt: digital painting of a cyberpunk cityscape, neon signs, futuristic, art style of range murata artgerm norman rockwell wlop katsuhiro otomo shintaro kago monet

Negative prompt: none

Settings: Steps: 50, Sampler: Euler a, CFG scale: 7, Size: 768x512

Afterwards, the image was extended by 128 pixels on the top, bottom, left and right sides using fourteen successive passes of the "Outpainting mk2" script within img2img, adding additional detail to the image one after the other, until the image's dimensions reached 2048x1024 as its natively generated size (prior to the commencement of any upscaling). For each individual pass, 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 increased the field of view of the image compared to the originally generated image, from one tiny portion of the street in the centre of the image, to a significantly wider view showing the buildings on both sides, in addition to the pedestrian foreground and cityscape in the distance.

Then, two passes of the SD upscale script using "SwinIR_4x" were run within img2img. The first pass used a tile overlap of 128, 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 256, denoising strength of 0.1, 150 sampling steps with Euler a, and a CFG scale of 7. This creates our final 8192x4096 image.
日期
來源 自己的作品
作者 Benlisquare
授權許可
(重用此檔案)
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.

授權條款

Public domain
這個作品屬於公有領域。本作品由電腦演算法人工智能生成,所以沒有著作權的歸屬人。

英國以及香港為電腦生成的作品提供自創作後50年的有限版權期限。 [1][2]
AI derivative works 法律免責聲明
大多數的圖像生成人工智慧模型都是使用受著作權保護的作品進行訓練。在某些情況下,此類模型可以產生包含受著作權保護的訓練圖像的主要版權元素的圖像,從而使這些輸出成為衍生作品。因此,上傳到維基共享資源的人工智慧生成的藝術作品可能會侵犯原始作品作者的權利。有關更多詳細資訊,請參閱Commons:AI-generated media

azərbaycanca  Deutsch  English  español  français  galego  हिन्दी  日本語  português do Brasil  русский  slovenščina  Türkçe  Tiếng Việt  中文  中文(简体)  中文(繁體)  +/−

說明

添加單行說明來描述出檔案所代表的內容

在此檔案描寫的項目

描繪內容

人工智慧藝術 中文 (已轉換拼寫)

1b1ce85f8eb9877ec9e82e3eddfdd9c868e98f0d

斷定方法:​SHA-1 中文 (已轉換拼寫)

38,584,745 位元組

4,096 像素

8,192 像素

人工智慧生成圖像 中文 (已轉換拼寫)

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⁠圖尺寸使用者備⁠註
目前2022年10月4日 (二) 15:54於 2022年10月4日 (二) 15:54 版本的縮圖8,192 × 4,096(36.8 MB)Benlisquarere-do final steps using 0.1 denoising strength SwinIR_4x (instead of 0.01), as I'm not too satisfied with how the building detail turned out with the lower denoising setting
2022年10月4日 (二) 15:04於 2022年10月4日 (二) 15:04 版本的縮圖8,192 × 4,096(37.03 MB)Benlisquare{{Information |Description=Algorithmically-generated AI artwork featuring a cyberpunk cityscape, 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 [https://github.com/AUTOMATIC1111 AUTOMATIC1111]. A single 768x512 imag...

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: