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

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.

How does it work

For now ; http://10.208.30.24:8000/

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

1. open webpage
2. 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'
3. click 'generate'
4. wait ~45 seconds per queue item (you cant see queuesize yet)
5. 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.

1. open webpage
2. enter a prompt for what you want to see the image become (for example 'trump raking the forest')
3. next to 'img2img' click on 'choose file' , choose some trump.jpg , preferebly somewhat close to the prompt you want
4. 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)
5. click 'generate'
6. wait ~45 seconds per queue item (you cant see queuesize yet)
7. you get a picture \o/

Please don't over abuse it :D

Some tips

• https://mrdeepfakes.com/forums/threads/guide-using-stable-diffusion-to-generate-custom-nsfw-images.10289/

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? :)

Extra links

• Checkout the GPU stats in Grafana on https://metrics.nurd.space/d/tAe_RuWVz/erratic-gpu

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

• https://mrdeepfakes.com/forums/threads/guide-using-stable-diffusion-to-generate-custom-nsfw-images.10289/
• https://www.reddit.com/r/StableDiffusion/comments/wnlsn8/steps_and_cfg_scale_tests/