HAIrk

hAIrk

Participants	User:buzz, Melan
Skills	software, neural networks, gpu
Status	Active
Niche	Artsy stuff
Purpose	Fun
Tool	No
Location	gpu.vm.nurd.space
Cost
Tool category

HAIrk.png {{#if:No | [[Tool Owner::{{{ProjectParticipants}}} | }} {{#if:No | [[Tool Cost::{{{Cost}}} | }}

What is this

There's so many fun networks now to run on GPUs! We wanted to share playing with them.

There's a queuing system in place, and soon it'll get hooked up through ghbot , maybe discord(?) and perhaps mediawiki(!!!)

open webpage
enter a prompt (this is a piece of text describing what you want to see , for example 'a digital artwork of a rake floating in cyberspace with many fragments of keyboards floating around , photorealistic , trending on artstation'
click 'generate'
wait ~45 seconds per queue item (you cant see queuesize yet)
you get a picture \o/

Stuff to tweak ;

' cfg scale ' has some complexity addition to the generated image (see the reddit post somewhere below)
' steps ' is amount of iterations the model runs on top of itself to match your prompt, higher takes longer, but most samplers (default we use is KLMS) dont do well with <32 steps , notably k_euler_a DOES get some nice results for ~10 steps already, so if you're in a hurry ...

Another thing you can try is remixing original images with the 'img2img' features.

open webpage
enter a prompt for what you want to see the image become (for example 'trump raking the forest')
next to 'img2img' click on 'choose file' , choose some trump.jpg , preferebly somewhat close to the prompt you want
lowering 'img2img strength' will make it MORE the original picture (under 0.4 is usually nowhere near any changes, unless you use a high cfg scale?? see tips below)
click 'generate'
wait ~45 seconds per queue item (you cant see queuesize yet)
you get a picture \o/

Please don't over abuse it :D

Stolen from that site (if you dont wanna click links with 'nsfw' in the url)

You can drag your favorite result from the output tab on the right back into img2img for further iteration
The k_euler_a and k_dpm_2_a samplers give vastly different, more intricate results from the same seed & prompt
Unlike other samplers, k_euler_a can generate high quality results from low steps. Try it with 10-25 instead of 50
If you have more Vram but are still forced to use the optimized parameter, you can try --optmized-turbofor a faster experience
The seed for each generated result is in the output filename if you want to revisit it
Using the same keywords as a generated image in img2img produces interesting variants
It's recommended to have your prompts be at least 512 pixels in one dimension, or a 384x384 square at the smallest
Anything smaller will have heavy artifacting
512x512 will always yield the most accurate results as the model was trained at that resolution
Try Low strength (0.3-0.4) + High CFG in img2img for interesting outputs
You can use Japanese Unicode characters in prompts

Maybe people can place some cool stuff they made here, and what parameters they used? :)

There are many tutorials for this stuff around, not all as SFW, but still good: