A bare-feet concept LoRA for MOSS-Image. Trigger word: feet
Trained on 300 real studio photographs (watermark removal, resolution
bucketing, natural-language captions). It reliably produces the
"both soles facing the camera, toes clearly defined" composition,
and stays clean: without the trigger word it does NOT force feet into
unrelated scenes.
Recommended: er_sde / 25 steps / cfg 3.0 / empty negative / strength 0.9
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## Tested base models
Works on all 9 MOSS bases I tested. Best results:
| Base | Steps / CFG | Note |
|---|---|---|
| moss_image_sft | 25 / 3.0 | cleanest, official aesthetic |
| Moss-dirtyMoss | 25 / 3.0 | casual snapshot look, 8s |
| Moss-artiusMoss | 10 / 1.0 | fastest (4-6s), built-in turbo LoRA |
| Moss-moodyMossMix | 25 / 3.0 | best skin texture |
| Moss-大师pornmasterMoss | 25 / 3.0 | keeps western adult faces best |
Avoid Moss-动漫miaomiaoHaremMOSS — body-shot composition tends to break.
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## What it does / does not do
✅ Verified
- Close-up with soles facing camera
- Both feet side by side, toes spread
- Socks (half-off style appears correctly when prompted)
- Full-body shots stay normal when feet is not written
⚠️ Known limitation
- Faces drift toward East-Asian / younger appearance. The training set came
from one demographic, so that trait is learned along with the concept.
This is not a plug-in that only adds feet. To suppress: strength 0.7 +
face-lock prompt caucasian woman, mature face, adult).
- Toenail polish appears only sometimes (56/300 in the dataset)
❌ Don't expect
- Style / lighting change (it's a concept LoRA, not a style LoRA)
- Feet appearing without the trigger word
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## Training details
| Item | Value |
|---|---|
| Base | MOSS-Image Base (bf16) |
| Trainer | kohya sd-scripts moss_image_train_network.py |
| Dataset | 300 real photos, 4 buckets |
| Steps | 2400 (300 × repeat2 × 4 epochs) |
| Time | 1h20m @ 1.93 s/step on RTX 5090 |
| Network | dim 32 / alpha 32, networks.lora_generic |
| Timestep | truncated_logit_normal (logit_mean -1.09, logit_std 0.95) |
| Text encoder | frozen (official recommendation) |
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## Compatibility
Requires a ComfyUI build with MOSS-Image support (0.42.0+ tested).
CLIPLoader type must be moss_image. VAE is flux2-vae.
The LoRA is in kohya format and loads directly — no conversion needed.