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AUTOMATIC1111
stable-diffusion-webui
Python2022–2024
AUTOMATIC1111 / stable-diffusion-webui

stable-diffusion-webui

Stable Diffusion web UI

88Distinct people
98Mentions
1Explicit recommenders
165.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Stable Diffusion web UI

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

For the image generation (or even indexing with the CLIP interrogator) side of things, recommend just installing the AUTOMATIC1111 github repo…

andthenwhat used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 7:56:55 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month98 dated mentions

Observed mentions: 2022-09-02 18:48:56 UTC to 2024-11-29 02:06:09 UTC.

0510152022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 12 mentions; 2 submissions, 10 commentsSep 20222022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 10 mentions; 3 submissions, 7 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 9 mentions; 1 submissions, 8 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 8 mentions; 1 submissions, 7 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 17 mentions; 4 submissions, 13 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsOct 20232023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsNov 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC12210
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC1037
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC918
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC817
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC17413
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC505
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC606
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC101
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC404
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC615
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC404
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC101
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC211
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC101
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC202
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC404
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC101
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC202
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC202

What Hacker News says

9 sources
I've seen references to merging models together to be able to generate new kinds of imagery or styles, how does that work? I think you use Dreambooth to make specialized models, and I think I got an idea about how that basically assigns a name to a vector in the latent space that represents the thing you want to generate new imagery of, but can you generate multiple models and blend them together? Edit: Looks like AUTOMATIC1111 can merge three checkpoints. I still don't know how it works technically, but I guess that's how it's done? https://github.com/AUTOMATIC1111/stable-diffusion-webui
In Stable Diffusion 2.0
If you're reading this and you haven't played with Stable Diffusion yet, try any of the following quick-and-easy generators: https://stablediffusionweb.com https://getimg.ai/editor https://healthydiffusion.com https://holovolo.tv/landing Not sure what to type? Copy and paste prompts from any of the following prompt databases: https://lexica.art https://www.krea.ai/ https://promptbase.com Want to run it on your own computer? Install any of the following: https://github.com/AUTOMATIC1111/stable-diffusion-webui https://github.com/brycedrennan/imaginAIry
In A Coming-Out Party for Generative A.I., Silicon Valley’s New Craze
As said elsewhere in this thread, Automatic1111 gives a local web frontend integration to a lot of the Stable Diffusion variants. There is a pull request to integrate Dreambooth into Stable Diffusion, which I am already a heavy user of - https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull... . This makes it all push-button simple, and integrated with all the other Automatic1111 Stable Diffusion scripts. While with the release of Stable Diffusion there has been a lot of innovation in text to image AI in the past two months, there are problem sets other than that, and Python libraries like scikit-learn ( https://scikit-learn.org/stable/tutorial/machine_learning_ma... ) use machine learning in other domains as well.
In Ask HN: How to get into AI generation(images,text)
andthenwhat·Nov 5, 2022Recommendation phrase
For the image generation (or even indexing with the CLIP interrogator) side of things, recommend just installing the AUTOMATIC1111 github repo (https://github.com/AUTOMATIC1111/stable-diffusion-webui), it's a web ui with pretty much every variant of stable diffusion you could want to try out, like txt2img, img2img, inpainting (both textual inversion and dream booth), outpainting, style customization, clip interrogation, etc. Most importantly, there are about 1000 youtube tutorials on how to do each of these things with it, so you can pick your interest areas and just try it out without having to understand all the details first. From there, if you're interested in how it works, I highly recommend the last 4 videos on Jeremy Howard's youtube channel: https://www.youtube.com/user/howardjeremyp/videos He's currently teaching a class on stab
Read the rest
le diffusion from the ground up and these lectures give a really good introduction to how it all works.
In Ask HN: How to get into AI generation(images,text)
You can use Stable Diffusion on google colab[0] for free, and if you pay for the subscription you can generate several thousand images for $10 worth of credits, additionally you can opt to use a whole A100 40gig to make larger images, or spit out 512x512 at like 3 seconds per image for really rapid exploration. No reason to use midjourney at all, and in fact ethically it's better not to imo. [0]https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
In DALL·E API Now Available in Public Beta

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