Overview
A clothed version of my other macromastia LoRA. This one here cannot produce X or XXX reliably.
The model is pretty straight forward. Use the trigger early in your prompt. Further descriptions to the breasts position, framing and focus can help a lot to emphasize the effect.
Sometimes it creates thicker or chubby bodies, for that you can include descriptors like slim or skinny or use negative prompts.
Values over 1.0 may produce heavy artifacts. Decrease strength if you encounter artifacts. Most samples use a strength of 0.9.
For more, have a look at the example images/videos.
LTXV 2.3 (Sulphur 2) - V1
Coming in June...
Krea 2 Turbo - V1
Use the trigger mcrmst and describe the breast/cleavage in some detail. Use the WAN 2.1 VAE for more realistic outcomes. Use the filter bypass LoRA for better results.
Training model: Krea 2 Turbo + Training Adapter
LoRA strength: 0.5-1.3
Sampler: euler / euler a
Steps: 8+
VAE: WAN 2.1
mcrmst, A photograph of a woman with gigantic breasts, her voluminous, heavy breasts dramatically stretching and filling the soft beige cable-knit turtleneck sweater, creating deep curves and visible fabric tension despite the modest high neckline, sitting on a picnic blanket in a serene autumn forest.Ideogram 4 - V1
Experimental model. Things break and body horror may occur.
Trained on bounding boxes and JSON, but can be used without JSON structure prompts. Use the trigger gigantic breasts on a bounding box that should represent the woman's breasts. This way, the size and position can sort of be controlled.
Training model: Ideogram 4 fp8
LoRA strength conditional: 0.7-1.0
LoRA strength unconditional: 0.3-0.5
Sampler: euler / euler a
Steps: 20+
CFG: 3.0-6.0
{...} // have a look at the showcase promptsWAN 2.2 T2V - V1
After using the trigger macromastia, use additional triggers large, huge and gigantic to control the size further, see example video. Can be combined with Thiccification.
Training model: WAN 2.2 T2V
LoRA strength: 0.5-1.0
Sampler: euler / euler a
Use TripleKSampler with 1/4/4 steps or no lightning LoRAs at all for quality.
Use breast physics LoRAs to improve jiggle and motion for very large breasts. I highly recommend Huge Natural Breasts Physics at strength 0.3-0.5 for the high noise, no low noise needed or it will degrade texture quality.
macromastia, a 21-year-old ginger woman drinking a milkshake from a straw in a cafe. she's wearing a tight blouse and jeans. She has gigantic breasts and a large cleavage. Her face is pretty and freckled, she has big lips. Looking out the window, sitting at a table.Flux.2 [klein] 9B - V2
Use the trigger mcrmst and describe the breast/cleavage in some detail.
Training model: Flux.2 [klein] Base 9B
LoRA strength: 0.3-1.0
Sampler: euler / res_2s
Steps: 4+
CFG: 1.0
mcrmst, A photograph of a woman with gigantic breasts, her voluminous, heavy breasts dramatically stretching and filling the soft beige cable-knit turtleneck sweater, creating deep curves and visible fabric tension despite the modest high neckline, sitting on a picnic blanket in a serene autumn forest.Z-Image - V1
This model may also work with Z Image Turbo on higher strengths (1.0-2.0). You can also give Z Image Distilled a try.
After using the trigger macromastia, use additional triggers large, huge and gigantic to control the size further.
Experimenting with negative prompts and strengths can be very rewarding.
Training model: Z Image
LoRA strength: 0.3-1.0 (up to 2.0 on Turbo)
Sampler: res_2s+beta57 / euler / res_multistep / DPM++ 3M SDE
Steps: 40+ (8+ on Turbo)
CFG: 3.0-5.0 (1.0 on Turbo)
macromastia, A high quality photo of a beautiful young woman with long flowing auburn hair standing gracefully as the central figure in a vast field of tall sunflowers during golden hour sunset. She wears a light, flowing white summer dress that catches the warm breeze and is stretched over her large breasts, her skin glowing in soft natural light, subtle smile on her face.Z-Image Turbo - V2
Not compatible with Z Image Base.
Training model: Z Image De-Turbo
LoRA strength: 0.3-1.0
Sampler: euler / res_multistep / DPM++ 3M SDE
Steps: 8+
CFG: 1.0
Prompt example:
A photo of a cute woman with macromastia lying on a beach towel, wearing a yellow bikini revealing her breasts. Her breasts spill out the top of her bikini, forming a significant cleavage. She's bathing in the sun smiling at the camera. A summer day and warm candid setting.Description
More data and more steps. Should perform slightly better with more variation. Lying position still kinda undertrained and require more careful prompting.
FAQ
Comments (8)
Yo, was wondering if this was gonna get made haha. IG4 has been interesting to play around with, so this will be fun.
@cupra there's ideogram 4 category now btw
It’s not possible to add NSFW LoRAs to that category, as Ideogram 4 is a „safe“ model. That’s why all NSFW Ideogram 4 models are under „Other“.
@cupra jesus, civitai are such cucks sometimes
@Unscathed7928 Much as I like to complain about civ, in this case the ones to shame are ideogram for putting stupid shit like "Do not submit, transmit, display, perform, post or store any content that is [...] unethical, obscene, lewd, lascivious, filthy, excessively violent, pornographic, invasive [...] insensitive [...] objectionable (collectively and individually)" at the top of their usage terms. We did it for sd3 and it never took off, unfortunately id4 is an actually good technological step up hampered by the ai ethics propaganda.
@cupra A potential workaround for searchability, if you feel like it, is add a sfw version with base=id4 on this model containing whatever; thanks to civ's crappy version squashing design, the whole model along with the nsfw version will now appear under id4 filter. 👌
Edit: Scratch that, I see the nsfw flag is at the model level. : /
What does work is: Publish the model as sfw + id4, edit the model to nsfw, id4 base remains. But do not (un)publish, that one does raise an error for no nsfw bases. Civ might fix that at some point.
@firemanbrakeneck Thanks. I’ll see how this develops and what the other creators are going to do.








