25-30 gang 🦍

MUGEN's a fan-game, so that's like finding a Worms-related mod in any other game. I think the article should be limited to more official stuff and it should not include the fan-made stuff.

Also, here's another one:
https://www.reddit.com/r/GamingDetails/comments/opa1b4/in_moving_out_by_team_17_the_vans_plate_says/

Both players safely received their prizes from me. Thanks again everyone for the games.

Before auto-refresh, players are counted by teams (there are 10 teams):


After auto-refresh, players are counted individually (there are 16 players):


Very minor bug, but should be reported regardless

Quote from: tita on November 09, 2024, 12:44 AMAe  Triad, the steam account of my son is: 386264803

Ty ae

aeeee papa tita giving his son an early christmas gift

i added him as a friend, tell him to accept my request

we have to be friends on steam for at least 3 days before I can send anything btw, so he'll have to wait a little bit

based Slam Dunk enjoyers

GGs boys PM me your Steam accounts (or any other recipient Steam account of your choice) and I'll add them to gift your prizes

Quote from: FoxHound on November 05, 2024, 10:39 AMI liked it. You made the icon in 2014? Or recently you edited the scheme's page?

Edited it around 2023 I think.

Good idea! I actually used an AI image for Wascar: https://www.tus-wa.com/schemes/scheme-1409/

Quote from: Impossible on November 01, 2024, 01:54 PMhey Triad, it's nice to see your doing flux lora training.
ask me anything if you're interested in the topic, i can give some tips. i'm actually one of the top researchers in the field. my antiblur lora is the most downloaded lora for flux (800 000 downloads on huggingface)

Shit, that's really yours? Impressive work! I guess I'll DM you some questions before I train a new LoRA then.

Yeah, all fixed now. Thanks!

Don't think it's possible with my specs

Quote from: h3oCharles on October 25, 2024, 03:40 PMwider maps?

what you mean?

Have a good one mate.

Training the AI on symmetrical maps might be much easier, because you can just use halved BnG maps. You can always mirror them on photoshop later to turn them into full maps.

Since you'll be dealing with 960x720 images rather than 1920x720 images, you can speed up training and map generating times.