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bulge models for adult image and video generation

Compare 5 public adult AI checkpoints and LoRAs tagged bulge. Review each model's versions, base-model family, trigger words, previews, and validated image or video workflows before you create.

5 models available

LoRA · SD

Bulge Mania

0385
This model generates images featuring extremely large bulges. It is designed to create images with prominent and emphasized genital areas.bulgeconceptgaymannsfwvisible penis line

LoRA · SD

Overstuffed Futa panties(IL + SD 1.5 + Pony)

3297
This model creates images of futanari with genitalia overflowing from underwear. The trigger word is "futa_overflow" and it works best with garments like panties, bikinis, pants, or loincloths. It may produce a bulge instead of overflow in some cases.bulgeconceptfutanari

LoRA · IL

Futanari Side Bulge(IL+ Pony)

2225
This model generates images of female characters with futanari and pony features, focusing on front-facing views. It's trained on images without male characters, so results with male subjects are untested. Example prompts include elements like breast size, clothing, and skin tone.bulgeconceptfutanari

LoRA · IL

Futanari Down Bulge(IL+ Pony)

3218
This model is trained on front-facing images to generate content related to "Futanari Down Bulge(IL+ Pony)." It was trained on data containing no men, so performance with male subjects is untested. The model developer also considers informal requests for new content generation.bulgeconceptfutanari

LoRA · SD

Bulgerk-dickprint

0166
Bulgerk-dickprint is a LoRA trained on images of real people to create images with pronounced bulges. It's designed to be used with varying LoRA weights and CFG scales, and prompting with terms like "bulge" or "crotch bulge" along with specifying clothing types will influence the results. The model aims to provide bigger, more visible bulge effects compared to the original "bulgerk-soft" textual inversion.bulgeconcepthomoeroticloraman

How checkpoints and LoRAs fit together

Start with a checkpoint

A checkpoint controls the base rendering system. Its supported modes determine whether it can create images, edit an input, or produce video.

Match the base model

A LoRA must target the same base-model family as the checkpoint. Similar names do not guarantee compatible weights.

Check the validated workflows

A catalog version can be documented before it is generator-ready. Only versions with validated broker and artifact mappings can spend credits.