This is the version that was trained to 43000 steps. At this step number, at times the LoRA will fail to generate a penis, or will be slightly blurred. Batch generation is recommended. Beyond this step number the LoRA became overtrained and began to at times lose prompt adherence, increased hallucinating, or render a penis to such a degree that it was no longer aesthetically appealing.

This is a concept LoRA that produces a penis using the Flux_1.dev model. The goals of this LoRA were to:

generate a circumcised penis

generate a circumcised penis interacting with clothing

test the feasibility of tagging the same image with categorically different tags

I consider this an alpha because like TwinkCockXL, it works most of the time, but still is not perfect.

This LoRA was trained on the basic set of images from TwinkCockXL but has some notable additions which are:

More representation of Asian, Black and Latino young men. Addition of older men that are "post-twink". The majority of images still are white twinks. This LoRA appears more context dependent and less age sensitive than TwinkCockXL.

Added comment: on further testing hair color and lighting seems to have an interaction with non-White generations. Hair colors other than black or brown may skew the generation away from Asian, Black or Latino characters. Extreme low light may cause the LoRA to confuse Black and South Asian generations. Adding "a dim white light above his head" may fix the problem.

A different tagging strategy to overcome the 70 tag word limit of Stable Diffusion, where each image was tagged three different ways which were:

Penis: Describing the penis (ethnicity, erection state, size, special interactions with clothing)

{white,black,latino,asian}; {flaccid, semi-erect, erect}, {small-sized, average-sized, large-sized}

Guided: Describing the main character of the photograph (ethnicity, body type, hair color and style, clothing)

Generalist: Describing the photograph in general (Description of photograph, angle of shot, the time of day the photograph was taken, the decade when the photograph was taken, what kind of camera was used to take the picture, the lighting and color tone of the photograph)

The addition of "Flying Cum" as an experimental concept of the "magic moment".

The primary activation tag "twinkcockFlux" was added to all images. A secondary tag (both the single word tag and the natural language phrase) was added to the following subconcepts:

"cutbetweenpantsandshirtFlux", "his penis is between his pants and shirt" - a man wearing a shirt and bottom wear (pants, shorts, underwear), with a cut penis visible.

"cutcockthruflyFlux", "his dick is poking through his fly", "his penis is poking through his fly" - a man with a cut penis visible through his fly.

"cutcockthrulegholeFlux", "his penis is slipping out of his leghole", "his penis is poking out of his leghole" - a man with a cut penis visible through the leghole of his bottom wear, not consistent, may need to specify shorts.

"cutnopantsFlux", "he is not wearing pants" - a man with a cut penis visible while wearing a shirt but no pants.

"cutnoshirtFlux", ""he is not wearing a shirt" - a man with a cut penis visible while wearing bottom wear but no shirt.

"cutfullynudeFlux", "he is fully nude"- a man with a cut penis visible while not wearing any clothing.

"cutflyingcumFlux", "He is holding his erect penis and having an orgasm" also "he is holding his erect penis, he is having an orgasm, he is jerking off, he is cumming, he is masturbating" - a man with a cut penis at the "magic moment".

The use of secondary tags is not necessary if randomness is desired. If a subconcept is desired, unlike twinkcockXL, Flux appears to be more prompt compliant after adding both the single word secondary tag and the natural language phrase. Secondary tags should not contradict each other for consistent generations.

The cutflyingcumFlux data set was cross-tagged with other secondary concepts, which at times leads to generations having a "unexpected ejaculations" even if not explicitly specified. I am on the fence as to whether this is a flaw or a feature of the LoRA. Prompts with the subject sitting down, or holding his erect penis, will more likely generate this subconcept due to the source images for this subconcept. This secondary concept is experimental and is not consistent, recommend a strength of 1.2.

https://civitai.com/models/978474/twinkcockfluxalpha?modelVersionId=1095908