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nihui
waifu2x-ncnn-vulkan
C++2019–2022
nihui / waifu2x-ncnn-vulkan

waifu2x-ncnn-vulkan

waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

2Distinct people
2Mentions
0Explicit recommenders
3.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

GitHub

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, 5:04:57 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 year2 dated mentions

Observed mentions: 2019-12-24 00:19:58 UTC to 2022-11-06 11:29:30 UTC.

012019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

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 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

2 sources
> I don't have any ROCm-specific kernel drivers loaded I'm pretty sure it needs amdkfd, which is not really "specific" but doesn't have any other consumers. > but OpenCL on my AMD GPU works fine Well, if instead of ROCm (or proprietary "pro" stuff) you have Mesa's Clover… that's the opposite of fine. I mean, fine for simple things, but Darktable won't work (no image support), Blender won't work (just too complex lol)… --- my casual user opinion: I HATE ALL the special compute-specific GPU APIs. I don't want a special fancy kernel driver that loads everything differently, I don't like OpenCL and other unusual special garbage. Please please please just use Vulkan compute shaders for everything. (And thankfully, people are starting to do that https://github.com/nihui/waifu2x-ncnn-vulkan https://github.com/hanatos/vkdt …)
In Radeon Open Compute 3.0

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