File:Algorithmically-generated portrait art of a young woman with short brown hair.png

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原始文件 ‎（2,048 × 4,096像素，文件大小：7.03 MB，MIME类型：image/png）

摘要

描述

Algorithmically-generated AI portrait artwork in imitation painted style, featuring a young woman with short brown hair, 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: [(Frank Cho):(greg rutkowski):0.5] [Pieter Claesz:Alan Lee:15], [Alphonse Mucha] acrylic (painting) [アニメ] sharp focus. cute (((perfect face))) (Evocative pose) (Seductive Smirk) Intricate (High detail) ((Sharp)) slender ((girly hips)) (((thick_thighs)) ((skindentation)) ((exposed midriff)), young maiden ((busty)) ((sheer tight sundress)) ((bodycon)). dynamic lighting. (detailed realistic face) sex appeal. (glossy lips), detailed pupils

Negative prompt: ((out of frame)) ((extra fingers)) mutated hands, ((poorly drawn hands)) ((poorly drawn face)) (((mutation))) (((deformed))) ((ugly)) blurry, ((bad anatomy)) ((bad proportions)) ((extra limbs)) cloned face, glitchy, ((extra breasts)) (double torso) ((extra arms)) ((extra hands)) ((mangled fingers)) ((missing breasts)) (missing lips) ((ugly face)) ((fat)) ((extra legs)) anime, ((asian face)) (portrait) ((male))

Settings: Steps: 30, Sampler: Euler a, CFG scale: 13.5, Face restoration: CodeFormer, Size: 512x768

Afterwards, the image was extended by 128 pixels on the top and bottom using two 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 top of head and lower dress, which were previously absent from the original AI-generated image made within txt2img which only featured the woman from the waist 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
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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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描繪內容

young adult woman 英语

乳溝

解理

核對和

c4f1eaf6b83d308f8852ef4cb0be2852438abdab

确定方法：​SHA-1

資料大小

7,370,081 字节

高度

4,096 像素

寬度

2,048 像素

文件历史

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当前2022年10月7日 (五) 22:402022年10月7日 (五) 22:40版本的缩略图2,048 × 4,096（7.03 MB）Benlisquare{{Information |Description=Algorithmically-generated AI portrait artwork in imitation painted style, featuring a young woman with short brown hair, 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/A...

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