Breast! - Realistic Breast Generation LoRA
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Model description
Breast!
Breast! LoRA is here to restore proportions as the cornerstone for the beautiful and the sacred.
Specification:
Base Model: SDXL 1.0
Type: LoRA
Training Steps: 900 steps, 71 images total, masked and captioned individually by me.
File Size: 200 MB
Description
We all went through the"bigger is better" era, and we were far from being wrong. The fact is that i felt that we had not yet created a series of LoRAs that would somehow regard proportions between the breast and the feminine body.
Technical
Images are preprocessed using a pose estimation model or a semantic segmentation network to extract keypoints/masks for torso, waist, and breast regions. For each image ( I_i ), computed isolate perceptions for Torso-to-waist, Breast-to-Torso and Waist-to-Breast ratios, that were then represented in a low dimensional folder structure.
The whole idea was to make sure that the U-Net’s cross-attention layers are conditioned on text prompts in such a way that we effectively disentangle anatomical traits from non-useful textual semantics.
This is my first LoRA, and the methodology tries and explore the sparsity in anatomical variation to create interactive and compartmentalized LoRA adapters, effectively acting as a form of mixture-of-experts fine-tuning for diffusion models.
For breast size specifically, I've used "large breasts:yy" tag to teach the diffusion net about sizes, and they pair with a denotative tag about the size, that ranges from large to gigantic:
large (yy=0.5 to 0.7), huge (0.8 to 1.2), massive (1.2 to 1.5), gigantic (1.5 and forth).
Example: ... ((massive breasts, large breast:1.3)) ...
Each one of them having their own softness and size parametric behavior.
What Makes It Special:
Decoupled Aging: Breasts remain anatomically correct without affecting facial age.
Face Preservation: Minimal facial distortion even at higher weights (tested up to 1.9).
Shape Control: Precise slider-like behavior through trigger words.
Clothing Interaction: Realistic fabric deformation and layering.
Multi-Style Compatible: Works with illustration, anime, and realistic photography.
Trigger Words System
**Size Control:**
[small, medium,] large (0.5 to 0.7), huge (0.8 to 1.2), massive (1.2 to 1.5), gigantic (1.5 and forth).
**Shape & Form:**
round, full, natural, sagging, tear
**Detail Enhancement:**
backboob, underboob, sideboob,
**Pose/Clothing:**
grabbing, squeezing, hiding
Training Dataset
Total Images: 71 curated, tagged and masked images.
Resolution: 1024x1024
Base model: SDXL 1.0
AI Training Tool
Home trained with a RTX 5070.
Usage Instructions
Recommended Settings:
Weight Range: 0.5-0.8 (optimal), up to 1.2 for extreme results
CLIP Skip: 2 (for SDXL base models)
Sampler: Euler A or DPM++ 2M SDE Karras
HiRes Fix: Compatible at 0.4-0.6 denoising strength
Common Pitfalls:
Weights above 1.5 cause anatomical distortions
Avoid combining with [specific incompatible LoRAs]
For face preservation, use weight ≤0.8
Support:
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Version History
v.1 - 27.12.2025