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bfirsh
stable-diffusion
Jupyter Notebook2022–2022
bfirsh / stable-diffusion

stable-diffusion

Discover this repository through its Hacker News conversations.

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
3Distinct people
6Mentions
0Explicit recommenders
425GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

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

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 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 day6 dated mentions

Observed mentions: 2022-09-01 19:06:09 UTC to 2022-09-28 20:32:07 UTC.

012342022-09-01 00:00:00 UTC to 2022-09-02 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 commentsSep 12022-09-02 00:00:00 UTC to 2022-09-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-03 00:00:00 UTC to 2022-09-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-04 00:00:00 UTC to 2022-09-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-05 00:00:00 UTC to 2022-09-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-06 00:00:00 UTC to 2022-09-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-07 00:00:00 UTC to 2022-09-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-08 00:00:00 UTC to 2022-09-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-09 00:00:00 UTC to 2022-09-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-10 00:00:00 UTC to 2022-09-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-11 00:00:00 UTC to 2022-09-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-12 00:00:00 UTC to 2022-09-13 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-09-13 00:00:00 UTC to 2022-09-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-14 00:00:00 UTC to 2022-09-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 142022-09-15 00:00:00 UTC to 2022-09-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-16 00:00:00 UTC to 2022-09-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-17 00:00:00 UTC to 2022-09-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-18 00:00:00 UTC to 2022-09-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-19 00:00:00 UTC to 2022-09-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-20 00:00:00 UTC to 2022-09-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-21 00:00:00 UTC to 2022-09-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-22 00:00:00 UTC to 2022-09-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-23 00:00:00 UTC to 2022-09-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-24 00:00:00 UTC to 2022-09-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-25 00:00:00 UTC to 2022-09-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-26 00:00:00 UTC to 2022-09-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-27 00:00:00 UTC to 2022-09-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-28 00:00:00 UTC to 2022-09-29 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 28

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 12022-09-01 00:00:00 UTC2022-09-02 00:00:00 UTC404
Sep 22022-09-02 00:00:00 UTC2022-09-03 00:00:00 UTC000
Sep 32022-09-03 00:00:00 UTC2022-09-04 00:00:00 UTC000
Sep 42022-09-04 00:00:00 UTC2022-09-05 00:00:00 UTC000
Sep 52022-09-05 00:00:00 UTC2022-09-06 00:00:00 UTC000
Sep 62022-09-06 00:00:00 UTC2022-09-07 00:00:00 UTC000
Sep 72022-09-07 00:00:00 UTC2022-09-08 00:00:00 UTC000
Sep 82022-09-08 00:00:00 UTC2022-09-09 00:00:00 UTC000
Sep 92022-09-09 00:00:00 UTC2022-09-10 00:00:00 UTC000
Sep 102022-09-10 00:00:00 UTC2022-09-11 00:00:00 UTC000
Sep 112022-09-11 00:00:00 UTC2022-09-12 00:00:00 UTC000
Sep 122022-09-12 00:00:00 UTC2022-09-13 00:00:00 UTC101
Sep 132022-09-13 00:00:00 UTC2022-09-14 00:00:00 UTC000
Sep 142022-09-14 00:00:00 UTC2022-09-15 00:00:00 UTC000
Sep 152022-09-15 00:00:00 UTC2022-09-16 00:00:00 UTC000
Sep 162022-09-16 00:00:00 UTC2022-09-17 00:00:00 UTC000
Sep 172022-09-17 00:00:00 UTC2022-09-18 00:00:00 UTC000
Sep 182022-09-18 00:00:00 UTC2022-09-19 00:00:00 UTC000
Sep 192022-09-19 00:00:00 UTC2022-09-20 00:00:00 UTC000
Sep 202022-09-20 00:00:00 UTC2022-09-21 00:00:00 UTC000
Sep 212022-09-21 00:00:00 UTC2022-09-22 00:00:00 UTC000
Sep 222022-09-22 00:00:00 UTC2022-09-23 00:00:00 UTC000
Sep 232022-09-23 00:00:00 UTC2022-09-24 00:00:00 UTC000
Sep 242022-09-24 00:00:00 UTC2022-09-25 00:00:00 UTC000
Sep 252022-09-25 00:00:00 UTC2022-09-26 00:00:00 UTC000
Sep 262022-09-26 00:00:00 UTC2022-09-27 00:00:00 UTC000
Sep 272022-09-27 00:00:00 UTC2022-09-28 00:00:00 UTC000
Sep 282022-09-28 00:00:00 UTC2022-09-29 00:00:00 UTC101

What Hacker News says

6 sources
zimpenfish·Sep 28, 2022
No, sorry, but there's a whole bunch of one-click things now, I think? I'm running it on Windows 10 using (a modified version of) https://github.com/bfirsh/stable-diffusion.git and Anaconda to create the environment from their `environment.yaml` (all of which was done using the normal `cmd` shell). Then to use it, I activate that env from `cmd` and switch into cygwin `bash` to run the `txt2img.py` script (because it's easier to script, etc.) [edit: probably helps that I already had a working VQGAN-CLIP setup which meant all the CUDA stuff was already there. For that I followed https://www.youtube.com/watch?v=XH7ZP0__FXs which covered the CUDA installation for VQGAN-CLIP.]
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