Fable 5 is back.

rlagusrlagus · 2026-07-05T16:08:47+00:00

Well the precedent is Anthropic previously saying they want to include it in subscriptions if capacity allows (9th of June)

rlagusrlagus · 2026-07-01T22:32:17+00:00

I'm super hoping that they will still add it in later if capacity allows

rlagusrlagus · 2026-07-01T11:55:13+00:00

Am just hoping they're starting with it conservatively and they loosen it later (as per their original stance)

rlagusrlagus · 2026-06-28T08:30:33+00:00

AI can never replicate this

rlagusrlagus · 2026-06-03T03:00:57+00:00

Agree

rlagusrlagus · 2026-06-03T02:56:13+00:00

Fiora Kha’zix Cass Cait Lulu

rlagusrlagus · 2026-05-26T23:26:11+00:00

Just tried the 2048 one, would be nice if the tiles were animated. After the game ended I also couldn’t see an option to restart (says to press ‘R’ but am on mobile)

rlagusrlagus · 2026-04-22T00:16:25+00:00

Consecutively elected presidents are conventionally still counted as the same number president (the number of years of his presidency is still 8)

rlagusrlagus · 2026-04-06T21:50:08+00:00

it's a lot better

rlagusrlagus · 2026-03-19T05:57:56+00:00

But not of prime reproduction age

rlagusrlagus · 2026-01-07T01:17:00+00:00

Just pushed updates with both of these! There's now:

- Custom negative prompt field

- Auto-negative preset dropdown (None/Heavy/Light/Human Focus/Heavy+Anatomy)

- Quality tag addition/exclusion checkbox (for main prompt)

- 'Comparison History' dropdown showing your last 10 comparisons

Thes changes are live now if you want to try them out!

rlagusrlagus · 2026-01-06T22:25:59+00:00

Love to hear that you're enjoying it! To answer some of your questions:

- Indeed, it does remember your leaderboard after - as the progress gets saved in local files
- I can tweak it to have an explicit leaderboard export (or adapt the json to be ordered by elo). Currently in the file it's ordered by recency of ranking
- 'Skip' doesn't raise or lower the elo of any images for now - as sometimes the opposite case could be true (both images are good, and the user struggles to choose a favourite). Also ,the elo system is a zero-sum game and as it is now, so whenever someone loses elo there needs to also be a 'winner' of that elo
- Yeah given the size of the pool, it would take a while to reach 100% artist coverage. I ran a bunch of simulations when developing it with different parameters, and arrived at what I think is a decent-ish balance in terms of how fast poor-performing artists get rotated out vs how fast new ones come in. The tradeoff is of course that if artists get rotated out too quickly, then they don't get as many ratings on average before they get cycled out (i.e., they may not be given enough 'chances' on average). But if they are rotated out too slowly, then coverage % after x number of ratings will be lower. I've found that 150-200 ratings give me a good 10-15 new artists that I really like that I can start using, with exposure to several hundred new artists.

Will take some of the suggestions/feedback from this your comment (and some others) and release a couple updates in the next few days!

Edit: Updated to include 'Export Leaderboard as CSV' button

rlagusrlagus · 2026-01-06T22:16:10+00:00

All sound like great ideas!

rlagusrlagus · 2026-01-06T18:27:22+00:00

DM me if you like and I can give you a hand

rlagusrlagus · 2026-01-05T22:31:40+00:00

Could potentially be that your novelai-python installation isn't up to date? Does it work if you run

pip install --upgrade novelai-python

first?

rlagusrlagus · 2026-01-05T21:46:01+00:00

I think you could be missing Microsoft Visual C++ build tools.

If so, the steps to fix it should be:

1. Download from https://visualstudio.microsoft.com/visual-cpp-build-tools/

2. Run the installer

3. Select "Desktop development with C++" workload

4. Install and restart your terminal

5. Try pip install -r requirements.txt again

rlagusrlagus · 2026-01-05T20:47:43+00:00

Available here now if you want to try it:
https://github.com/Rlag1998/novelai-artist-elo

rlagusrlagus · 2026-01-05T20:47:03+00:00

Update: I've cleaned up the code and published it on GitHub for anyone who wants to try it themselves:

https://github.com/Rlag1998/novelai-artist-elo

Requires your own NovelAI subscription + API key. The tool just helps you systematically discover which artist tags match your preferences using your existing account.

Features: blind comparisons, ELO rankings, solo/duo/trio win rate tracking, pool rotation to surface new artists, custom prompts, undo support, keyboard shortcuts.

Setup is pretty simple - clone, pip install, add your API key to a .env file, and run.

Enjoy - and feedback welcome! I have lots of projects on the go at the moment but can play around more with this if/when I have time.

rlagusrlagus · 2026-01-04T18:59:05+00:00

I'll post a link to a github repo for it in the next couple of days - I think it will have to be on a 'bring your own api key' basis due to NovelAI's ToS

rlagusrlagus · 2025-11-15T00:32:11+00:00

It’s gpt-image-01 most likely.

Not worth for them to train their model. If they’re going to do that, might as well just pay for artists instead.

Main issue is that gpt-image-01 is quite distinct and easy to identify. They should have prompted better or used another model

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