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xinntao
Real-ESRGAN
Python2021–2024
xinntao / Real-ESRGAN

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

12Distinct people
13Mentions
0Explicit recommenders
37.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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

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, 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 month13 dated mentions

Observed mentions: 2021-08-18 02:17:48 UTC to 2024-01-24 22:19:28 UTC.

01232021-08-01 00:00:00 UTC to 2021-09-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 20212021-09-01 00:00:00 UTC to 2021-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-10-01 00:00:00 UTC to 2021-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-11-01 00:00:00 UTC to 2021-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-12-01 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 2022-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 20222022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 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): 1 mentions; 0 submissions, 1 commentsJan 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
Aug 20212021-08-01 00:00:00 UTC2021-09-01 00:00:00 UTC110
Sep 20212021-09-01 00:00:00 UTC2021-10-01 00:00:00 UTC000
Oct 20212021-10-01 00:00:00 UTC2021-11-01 00:00:00 UTC000
Nov 20212021-11-01 00:00:00 UTC2021-12-01 00:00:00 UTC000
Dec 20212021-12-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
Jan 20222022-01-01 00:00:00 UTC2022-02-01 00:00:00 UTC000
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC000
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC000
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC000
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC000
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC202
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC321
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC101
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC110
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC101
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC000
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC101
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC101
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC000
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
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 UTC101

What Hacker News says

13 sources
You're probably better of using Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN. It's pretty solid and fast, even has portable executables you can just use as is. The upscaler that comes with stable diffusion might work for you, but I suspect it'll probably do a better job at upscaling stable diffusion output rather than a natural images (might be wrong though).
In Stable Diffusion 2.0

Show HN: A couple of links about Stable Diffusion AI Generation

I've been studying Stable diffusion for some days and this Github page I linked in the title shows the incredible power that Stable Diffusion has Right now, and it is growing everyday. I think people on HN ought to know and discuss about it, and share their ideas and discoveries. It can do text-to-image out of nothing with a customer-grade GPU, and image-to-image for incredible variations that you can guide with the criteria you choose. https://imgur.com/a/Jt76AHA Just check that picture out, I made variations from the base picture top-left, either to black-ened, or to white-ened, or to the combination of both... The power is infinite. It is called "Prompts matrix". You can run it from your own computer preferably with 8GB VRAM+ GPU, or cloud-based virtual machine (I managed to run it on Microsoft Azure but not for cheap). To install Stab
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le Diffusion and experiment for yourself, simply follow this page guidance: https://rentry.org/voldy#-guide- If you just want to try out simply you can check out "beta.dreamstudio.ai" but it's not free beyond the first 200 images. It is free on Huggingface but it's struggling with the demand so I Won't link it. It generates 512x512 imges, but you can ENHANCE the fuck out of it with this link: https://github.com/xinntao/Real-ESRGAN Check out the link "Portable Windows". You can commandline it and batch a whole folder with a .bat script, on Windows (and Unix of course). It's free, no strings attached (as far as I know). If you generate texture or paintings you can generate a normal map and a displacement map, with CrazyBump.com. You can BATCH it a whole folder to their respective normals. There is a free trial which does the job, but buy it if you can, because it's awesome. Here is a cool link about SD: https://lexica.art/ ("the SD search engine") Here's to showcase the most important PROMPTs the engine can handle: http://stable-diffusion-guide.s3-website-us-west-2.amazonaws... At this link, you can buy and sell PROMPTS: https://promptbase.com/ (it's a great place to have great ideas) Finally here's a database of prompts and their generated picture, to get ideas: https://laion-aesthetic.datasette.io/laion-aesthetic-6pls/im... That's it for what I learned as of know. I hope people will talk about that and so we can get more nerds into the Stable Diffusion and make it even more open and awesome. Thank you for reading
1 points · Open discussion
I'm currently trying to put 1000x wallpaper seamless textures into UE5 Marketplace. I'm saddened to see this news.^^. Well, fuck money anyway right? Here's a tip, you can produce all you need if you follow this guide: https://rentry.org/voldy#-guide- Just check what this stuff can do: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki... This is the best page on the internet right now. The hottest stuff. Better than Bitcoin. You can get guidance and copy business ideas here: https://lexica.art/ https://laion-aesthetic.datasette.io/laion-aesthetic-6pls/im... http://stable-diffusion-guide.s3-website-us-west-2.amazonaws... For textures: Once you have generated the color map (diffuse) from StableDiffusion, you can use CrazyBump to BATCH create the normal map and displacement map. I'm currently at my 200th file iteration. http://www.
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crazybump.com/ CrazyBump, all the cool kids are using it. Now this is where I'm at. Call me crazy. I'm forgetting stuff surely, but it's the best I can do. Go and change the world. PS: You can Batch Upscale the 512 to beautiful 2k+ with this link: https://github.com/xinntao/Real-ESRGAN
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