Triggers: 🔥🔥🔥

1. cellulite: creates deep skin dimples and a wrinkled skin effect, often seen on mature woman.

2. thick thighs: creates wide thighs below the butt cheeks.

3. wide hips: makes the butt cheeks wider, and the hip bones compared to the waist.

4. blemishes: adds a form of pimples, which can look like a rash sometimes. Use with caution or not at all.

5. Chubby: Makes the woman plumper and creates a mature body type.

6. Obese: makes the woman overweight and very curvy.

7. Shiny oiled skin: makes the skin glossy and oily, with specularity.

Testing:

I have tested the lora to a peak strength of +1.2, above this strength decreases prompt accuraccy and creates worse anatomy.

the lora works best when the triggers are used in a array, seperated by comma's: e.g: cellulite, thick thighs, wide hips, blemishes. However, you can still use natural language for the rest of the prompt. My prefered method is to start with the string of triggers, followed by the rest of the prompt.

It can do bodyshapes other than obese or chubby, you can use for example: hourglass bodyshape figure, or: fit muscular with only a obese lowerbody, thin waist legs knees arms. So quite alot is possible if you describe what you want each bodypart too look like.

With a very long context length you can either move the triggers to the beginning of the prompt, and if that is not sufficient, increase the lora strength after that.

When using cellulite as token, skindentation is automatically applied as well, so no need to prompt for this.

Notes: 💌💌💌
This is based of my Krea2 dataset, and seems to work the same until now.
I did not train on tokens such as: mature woman, or elderly, etc.etc. so it's highly versatile with all ages.
I used comfyui for my examples, my prompts and the standard MOSS workflow is attached to the images, just drag'n'drop the images in comfyui.
The images in the dataset exist out of mainly nudes, lingerie, and thight mini outfits in amateur settings. It might be able to do other things too, but I haven't tested this extensively yet. So don't expect to see cellulite through jeans or a long dress.
Use words such as "photography" for realism, not "realistic" which implies semi-reality.

For the examples I used MOSS Image model: artiusMoss_v10_3309287, CLIP: qwen-3.5_9b_heretic_v2_int8_hq, VAE: artiusMoss_v1_fp32, inference steps: 15, CFG:2.5, sampler: euler_ancestral, scheduler: sgm_uniform, resolution: 1.5MP, 2.0MP, resolutions 2:3 portrait and 1:1 square.

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