File:Loss, in first-person view.png
![File:Loss, in first-person view.png](https://upload.wikimedia.org/wikipedia/commons/thumb/1/19/Loss%2C_in_first-person_view.png/450px-Loss%2C_in_first-person_view.png?20230808103418)
原始文件 (1,536 × 2,048像素,文件大小:3.47 MB,MIME类型:image/png)
说明
说明
摘要
[编辑]描述Loss, in first-person view.png |
A collection of four algorithmically-generated AI artwork panels serving as a parody of "Loss" by Tim Buckley, depicting a reinterpretation of the events described in "Loss" from a first-person perspective, 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.
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. Four 768x1024 images were generated with txt2img using the following prompts:
|
日期 | |
来源 | 自己的作品 |
作者 | Benlisquare |
授权 (二次使用本文件) |
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.
R34_e4 and F111 are custom-trained derivative models of Stable Diffusion 1.4. The CreativeML OpenRAIL-M License applies to all downstream derivative versions of the model, as stipulated under the preamble. wd-v1-3-full.ckpt is released under the CreativeML OpenRAIL-M License.
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
[编辑]![w:zh:知识共享](https://upload.wikimedia.org/wikipedia/commons/thumb/7/79/CC_some_rights_reserved.svg/90px-CC_some_rights_reserved.svg.png)
![署名](https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Cc-by_new_white.svg/24px-Cc-by_new_white.svg.png)
![相同方式共享](https://upload.wikimedia.org/wikipedia/commons/thumb/d/df/Cc-sa_white.svg/24px-Cc-sa_white.svg.png)
- 您可以自由地:
- 共享 – 复制、发行并传播本作品
- 修改 – 改编作品
- 惟须遵守下列条件:
- 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。
- 相同方式共享 – 如果您再混合、转换或者基于本作品进行创作,您必须以与原先许可协议相同或相兼容的许可协议分发您贡献的作品。
![]() |
已授权您依据自由软件基金会发行的无固定段落及封面封底文字(Invariant Sections, Front-Cover Texts, and Back-Cover Texts)的GNU自由文件许可协议1.2版或任意后续版本的条款,复制、传播和/或修改本文件。该协议的副本请见“GNU Free Documentation License”。http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
文件历史
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 | 2023年8月8日 (二) 10:34 | ![]() | 1,536 × 2,048(3.47 MB) | Obscure2020(留言 | 贡献) | Optimized with OxiPNG and ZopfliPNG. |
2022年12月3日 (六) 22:16 | ![]() | 1,536 × 2,048(4.07 MB) | Benlisquare(留言 | 贡献) | {{Information |Description=A collection of four algorithmically-generated AI artwork panels serving as a parody of "Loss" by Tim Buckley, depicting a reinterpretation of the events described in "Loss" from a first-person perspective, 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://hugging... |
您不可以覆盖此文件。
文件用途
以下页面使用本文件:
全域文件用途
以下其他wiki使用此文件:
- www.wikidata.org上的用途
- zh.wikipedia.org上的用途