File:X-Y plot of algorithmically-generated AI art of European-style castle in Japan demonstrating DDIM diffusion steps.png
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Summary
editDescriptionX-Y plot of algorithmically-generated AI art of European-style castle in Japan demonstrating DDIM diffusion steps.png |
An X/Y plot of algorithmically-generated AI artworks depicting a European-style castle in Japan, created using the Stable Diffusion V1-5 AI diffusion model. This plot serves to demonstrate the U-Net denoising process, using the DDIM sampling method. Diffusion models algorithmically generate images by repeatedly removing Gaussian noise, step-by-step, and then decoding the denoised output into pixel space. Shown here are a smaller subset of steps within a 40-step generation process.
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 512x768 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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Date | |
Source | Own work |
Author | Benlisquare |
Permission (Reusing this file) |
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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Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 22:55, 31 October 2022 | 2,560 × 1,734 (7.11 MB) | Benlisquare (talk | contribs) | rearrange images into a 5-by-2 to optimise space | |
22:48, 31 October 2022 | 5,120 × 867 (6.63 MB) | Benlisquare (talk | contribs) | {{Information |Description=An X/Y plot of algorithmically-generated AI artworks depicting a European-style castle in Japan, created using the [https://huggingface.co/runwayml/stable-diffusion-v1-5 Stable Diffusion V1-5] AI diffusion model. This plot serves to demonstrate the noise diffusion process, using the DDIM sampling method. Diffusion models algorithmically generate images by repeatedly applying Gaussian noise, step-by-step, and then decoding the denoised output into pixel space. Shown... |
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Horizontal resolution | 28.35 dpc |
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Vertical resolution | 28.35 dpc |
File change date and time | 22:52, 31 October 2022 |