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rinongal
textual_inversion
Jupyter Notebook2022–2022
rinongal / textual_inversion

textual_inversion

Discover this repository through its Hacker News conversations.

4Distinct people
4Mentions
0Explicit recommenders
3.1KGitHub stars
REPOSITORY AT A GLANCE

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What it is

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Where it is used

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What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 week4 dated mentions

Observed mentions: 2022-08-29 22:13:24 UTC to 2022-10-26 18:29:24 UTC. Weeks start Monday, UTC.

0122022-08-29 00:00:00 UTC to 2022-09-05 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsAug 292022-09-05 00:00:00 UTC to 2022-09-12 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-09-12 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 2022-09-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-26 00:00:00 UTC to 2022-10-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 262022-10-03 00:00:00 UTC to 2022-10-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-10 00:00:00 UTC to 2022-10-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-17 00:00:00 UTC to 2022-10-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-24 00:00:00 UTC to 2022-10-31 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsOct 24

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
Aug 292022-08-29 00:00:00 UTC2022-09-05 00:00:00 UTC202
Sep 52022-09-05 00:00:00 UTC2022-09-12 00:00:00 UTC101
Sep 122022-09-12 00:00:00 UTC2022-09-19 00:00:00 UTC000
Sep 192022-09-19 00:00:00 UTC2022-09-26 00:00:00 UTC000
Sep 262022-09-26 00:00:00 UTC2022-10-03 00:00:00 UTC000
Oct 32022-10-03 00:00:00 UTC2022-10-10 00:00:00 UTC000
Oct 102022-10-10 00:00:00 UTC2022-10-17 00:00:00 UTC000
Oct 172022-10-17 00:00:00 UTC2022-10-24 00:00:00 UTC000
Oct 242022-10-24 00:00:00 UTC2022-10-31 00:00:00 UTC110

What Hacker News says

4 sources
If the current method we use turns out to actually lead to producing content that has a history and can regenerate characters then it will likely be within 5 years. But right now it is possible it is only a nice math trick that is already near its limits. GPT3 and Stable Diffusion are great for developing one moment / conversation and that may even turn into one scene but beyond that it is extremely difficult to have something coherent. There is a really exciting model That may mostly solve that but it’s too early right now: https://github.com/rinongal/textual_inversion For fun I tried to make an entire animated music video but it took over one week of processing and basically fell apart coherently by 30 seconds so just did one third: https://youtu.be/f3GfUKJBUYA
In How close are we to full movie generation from a technical standpoint?

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