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iperov
DeepFaceLab
Python2019–2024
iperov / DeepFaceLab · Archived

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

11Distinct people
12Mentions
0Explicit recommenders
19.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

DeepFaceLab is the leading software for creating deepfakes.

GitHub

Where it is used

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

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, 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 year12 dated mentions

Observed mentions: 2019-08-13 23:04:43 UTC to 2024-08-22 19:52:26 UTC.

012342019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024

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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC312
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC422
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110

What Hacker News says

12 sources

Are there any open source ML libraries that have good (or any) test coverage?

I have been looking to use lipsync for a project at work, and I have been horrified to see that the most used deepfake library [0] with over 30k stars has the word "test" mentioned in it a whopping 10 times. This naturally made me very hesitant to use this library as who (I guess no one, really) knows how unstable it may be. Are there any examples of projects in ML (other than libs like pytorch) that do have test suites, and perhaps even enforce TDD? Would be very curious to know. [0] DeepFaceLab https://github.com/iperov/DeepFaceLab
2 points · Open discussion
Some recent links and models and code, updated early 2020 Q1 https://github.com/iperov/DeepFaceLab ("More than 95% of deepfake videos are created with DeepFaceLab. DeepFaceLab is used by such popular youtube channels as Ctrl Shift Face, Sham00k, Collider videos, VFXChris Ume") https://github.com/deepfakes/faceswap https://faceswap.dev/ https://forum.faceswap.dev/ https://dfblue.com/ https://pub.dfblue.com/pub/2019-10-25-deepfacelab-tutorial
In Pinscreen Deepfake Live Prototype [video]

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