Gloomifier currently has 3 versions. Please read blow for information about each one of them!
Gloomifiers are simple LECO's that makes images gloomier on positive and happier on negative. Can go from really low weights to really high weights giving different results.
Gloomifier The Dread
Negative weight gives really happy results. Can go down to -1.5 weight or even further. Depends on model how it reacts
Positive weight makes the image darker and dreadier. Weight can go to +3 giving stronger results. Depends on model how it reacts.
Does not require trigger words, but helping words that makes images darker, creepier can help. For example dread, dark lighting,glowing eyes etc...
Gloomifier The glow
Weights -3 to 5 give decent results
Can go even lower or higher giving stronger results. Results may wary between models. Meina V11 gave good results.
Does not require trigger word, but helping words like: bioluminescence, dark, night,darkness, cold, cold lighting, fog, glowing, can give stronger and different results.
Gloomifier The Darkifier
Positive makes the images darker and negative makes images more light
Please leave some images, i'd love to see them (～￣▽￣)～
Description
FAQ
Comments (9)
Yes, it's easy to use.
(～￣▽￣)～ glad to hear.
Good LORA, easy to handle but difficult to master. Cannot be used as if you were adding salt to adjust flavor.
It is recommended to use it on the premise that it can be put in and taken out, as it can deviate from the image you are aiming for.
Yes it is quite difficult to control and often alters image to strange directions, might train it again to fix some issues i noticed while testing. Thank you for comment and review (～￣▽￣)～
This is really cool.
Can you give me some details of that LECO thing? I'm interested in experimenting.
This is pretty much what there is, or what i have found about it. https://github.com/p1atdev/LECO
First time read about it in this model page https://civitai.com/models/115408/lecos-or-actionpose
If you have some general idea how LORA's are trained you should get it to work (～￣▽￣)～
@Potatovision This is really interesting, thank you!
This video explains it well. Subtitles available.
https://youtu.be/NQyBvKlvB5c
@hamso Thank you for this video!