TransBody2026 – SDXL Enhancer

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モデル説明

TransBody2026 – SDXL Enhancer

TransBody2026 - SDXL Enhancer is a LoRA designed to stabilize transfeminine anatomy in SDXL generations.

The model was trained on a diverse dataset including different poses, clothing styles, environments and camera perspectives.
The goal is to maintain consistent transfeminine anatomy while allowing other LoRAs and the base model to control style, fashion and scene composition.

This LoRA works particularly well as a modifier or stabilizer when combined with character or concept LoRAs.

Instead of forcing a specific character style, it helps maintain anatomical consistency across many different image contexts.


Recommended Base Model

Best results were achieved using:

EpicRealism - LastFame (SDXL)

Other realistic SDXL models may also work well.


Recommended LoRA Stack

The following setup produced the most stable results during testing:

  • <lora:TransBody2026- SDXL Enhancer:0.6>

  • <lora:TransBody2026- SDXL Anatomy:0.3>

This combination preserves anatomy while allowing the base model and additional LoRAs to define the final appearance.


Usage with Character LoRAs

When combining with strong character or concept LoRAs, higher weights may be required.

Example guideline:

  • Character LoRA: 0.8 – 1.2

  • TransBody2026 - SDXL Enhancer: up to ~1.6–1.9

In this configuration the model primarily acts as an anatomy stabilizer.


Training Information

Dataset size
~2700 images

Training settings

Epochs: 14
Steps: ~14k
Base architecture: SDXL

The dataset intentionally includes:

  • clothed subjects

  • fashion outfits

  • public environments

  • dynamic poses

  • mixed framing (full body, medium, close-up)

This helps the LoRA function in a wider range of scenes instead of only close-up anatomy images.


Notes

This LoRA was designed to work together with other LoRAs, rather than replace them.

It can be useful for:

  • character LoRA stacks

  • style LoRAs

  • fashion scenes

  • pose-heavy compositions

where anatomy consistency is often lost.

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