The goal is for this model to be able to fully understand the nude male.
Version 2 is rank 64 so the details are slightly better than version 1. It follows prompts better than prior versions. It is trained on:
Nude Male
Pubic hair (default is closer to a hairless body, you do not need to tag hairless but you can put pubic hair & pubes in the negative)
Cumming/Ejaculating Cum works well
Masturbating
Inserting [object name] in foreskin
Inserting finger in foreskin
Grabbing foreskin
Ass/ Ass hole (example: photo of nude male's rear focusing on the ass hole)
Very Small/Small penis or Large penis
Fellatio/inserting tongue in foreskin
Fellatio/sucking foreskin
Fully Retracted Foreskin. tag "fully_retracted_foreskin" at the beginning of your prompt
Partially Retracted Foreskin. tag "partially_retracted_foreskin" at the beginning of your prompt
Long foreskin - doesn't work as intended.
Removed Foreskin (I did not train circumcised penis). tag "removed_foreskin" at the beginning of your prompt.
Pros of 2.0:
Dataset was tweaked after 1.0 and 1.5 to fill in gaps for some concepts making them stronger
Drawings/illustrations were recaptioned to avoid overwriting drawing styles as hard. The result are more realistic drawings.
Trained with less aggressive optimizer parameters making it even more stable than Version 1.0
It is more consistent with skin texture
Dataset was tweaked to properly address leaning while sitting so that subjects no longer lean back as frequently
Cons of 1.5:
Sometimes still ignores prompts
It was not able to meet many of the goals
Does not understand females well.
Version 1.5 is trained on:
Nude Male
Pubic hair (default is closer to a hairless body, you do not need to tag hairless but you can put pubic hair & pubes in the negative)
Cumming/Ejaculating Cum works well
Masturbating - works but the foreskin isn't well defined.
Inserting [object name] in foreskin
Inserting finger in foreskin
Grabbing foreskin
Ass/ Ass hole (example: photo of nude male's rear focusing on the ass hole)
Fellatio/inserting tongue in foreskin
Fellatio/sucking foreskin
Fully Retracted Foreskin
Partially Retracted Foreskin
Long foreskin - doesn't work as intended.
Removed Foreskin (I did not train circumcised penis)
Very Small/Small/(default)/Large penis (does not work well)
The greens work more consistently. Yellow works sometimes. Red rarely works as intended, but you might get a good shot or two.
Pros of 1.5:
Dataset was tweaked after 1.0 to fill in gaps for some concepts making them stronger
Drawings/illustrations were recaptioned to avoid overwriting drawing styles as hard.
Trained with less aggressive optimizer parameters making it even more stable than Version 1.0
Cons of 1.5:
It is not consistent with the skin texture. The foreskin texture should be softer.
subjects frequently lean back or are otherwise not vertical.
Sometimes still ignores prompts
Version 1.0 is is trained on:
Nude Male
Inserting [object name] in foreskin.
Masturbating
Cumming/ Ejaculating cum
Inserting finger in foreskin
Grabbing foreskin
Fellatio/ Inserting tongue in foreskin
Fellatio/ sucking foreskin
Going from green to red, the understanding gets worse
Cons of 1.0:
Drawing styles were overwritten by my illustration style
Example Settings:
Sampler: Res_2s
Scheduler: beta57 (download RES4LYF nodes then close fully & restart comfyui)
Steps - 8-12
CFG - 1-2
Shift - 3-5
Lora Strength - .7-1.0
Sampler: Euler
Scheduler: Normal (my examples use "simple" but i think normal gives much better results)
Steps: 8-12
Cfg: 1.5 (may go down to 1 for speed)
Shift: 3.5
Lora Strength: 1.0
The original version prior to 1.0 is just a prototype! I no longer recommend using it because it does not behave consistently.
My first version is a prototype. I used ~1200 images but I believe they were poorly captioned, so the resulting images are kind of mid to low adherance to prompts.
My first version is overtrained. You will need to set the lora weight lower to like .5-.75.
My first version does not work well with Anime. I decided to test the anime images I tagged for Noob/Illustrious training. It did understand some of the concepts but it adheres to them poorly and has failed to properly capture the anime style.