This is a LoRA trained on the Bike 7110 Jockstrap.About Me:<ul><li>Web Comic: Check out my webtoon <a target="_blank" rel="ugc" href="https://www.webtoons.com/en/canvas/men-of-nearbush/list?title_no=840089">Men of Nearbush</a> for gags from the stone age, featuring Hunter, the thiccums with a heart of gold, and the shabby tribe of Nearbush. It’s near a bush.</li><li>Homoerotic art: <a target="_blank" rel="ugc" href="https://x.com/MenOfNearbush">X/Twitter</a>, <a target="_blank" rel="ugc" href="https://bsky.app/profile/menofnearbush.bsky.social">Bluesky</a></li></ul><hr />Version 0.9 Overview:This is an early Flux Dev Alpha release for experimental use. New features include generating the back of jockstraps and lying face down.<ul><li>Recommended Keywords: [side, front, back] of a [white, yellow, dirty] jockstrap, bulge, [standing, sitting, legs spread, squatting, lying face down].</li><li>Parameters: Weight: 1.0.</li><li>Tested Models: Flux Dev - Steps 30, Flux HyperSD - Steps 8</li></ul>Known Issues:<ul><li>Framing: It leans towards close-up shots, so it helps to describe extremities that should be in the frame, like hair or thighs</li><li>Eyes and Hands: May render with artifacts. Avoid by including "hand", "detailed eyes", or describing the eyes in the prompt.</li><li>Bulges: May appear too large or rounded, lacking definition.</li><li>Straps: May not render, leaving assess tragically covered in fabric.</li></ul>Dataset Keywords:If you encounter issues or want to refine your outputs, try these keywords that were used in the dataset image captions:<ul><li>Appearance: tagless (if the back of the jockstrap shows a label), mesh pouch, detailed cloth fibers, white label with black "Bike" logo centered on the waistband, garter belt with straps (for improved strap rendering)</li><li>Position: buttocks is fully visible, back of jockstrap standing against a wall</li><li>Clothing: pants pulled down, jockstrap partially exposed above jeans or beneath shirt</li></ul><hr />SD 1.5 Versions Overview:This is a LoRA trained on classic jockstraps. Primarily, the Bike Vintage Throwback, Bike white classic 7110 vintage jockstrap. After much experimentation, this version now allows you to use different characters and body types. Trained on 512x512 images, and white, yellow, and red jockstraps.Note:<ul><li>Works best with controlnet openpose.</li><li>It leans towards white backgrounds. Add parenthesis to your locations to get them to work. e.g. (forest in the background:1.1)</li><li>Ass/From behind is not reliable at all and isn't the focus of this LoRA.</li><li>Dial the weight down to 0.8 to allow the checkpoint you're using to have more of an influence on the outputs.</li></ul>Keywords: dirty used white/red/yellow jockstrap with a bulge, ass, from behindExample prompt: photo of a man wearing a dirty used white jockstrap with a bulgeOptional negative prompts: white background, tattoos, close up photo, blurry, assSee other people's prompts and results below and post your own!

Jockstrap

After much experimentation, this version now allows you to use different characters and body types.This is based on the Bike Vintage Throwback Jockstrap. It was trained on white, yellow, and red.Keywords: dirty used jockstrap with a bulgeExample prompt: photo of a man wearing a dirty used white jockstrap with a bulge

jockstrap_v2.safetensors

v2.0

Flux Dev v0.9

This is a LoRA trained on classic jockstraps. Primarily, the Bike Vintage Throwback, Bike white classic 7110 vintage jockstrap. After much experimentation, this version now allows you to use different characters and body types. Trained on 512x512 images, and white, yellow, and red jockstraps.Note:<ul><li style="text-align: start;">Works best with controlnet openpose.</li><li style="text-align: start;">It leans towards white backgrounds. Add parenthesis to your locations to get them to work. e.g. (forest in the background:1.1)</li><li style="text-align: start;">Ass/From behind is not reliable at all and isn't the focus of this LoRA.</li><li style="text-align: start;">Dial the weight down to 0.8 to allow the checkpoint you're using to have more of an influence on the outputs.</li></ul>

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