Qwen-Image (base) LoRA - Anatomy / Genital Fixer (stackable)

A base Qwen-Image (t2i) LoRA that improves explicit anatomy. Designed to be stacked at low strength over an edit LoRA on Qwen-Image-Edit-2511 (the DiT target modules are shared), to fix Qwen's malformed/confused explicit anatomy. Trained with DiffSynth-Studio on 1170 close-up/medium anatomy crops.

Triggers: global n5fw activates the fixer domain; per-part tokens control specific anatomy (e.g. z40peni penis, z41vagn vulva, z42anus anus, z60erct erection, z61flac flaccid, z01vpen vaginal penetration, ...). Full trigger reference: TRIGGERS.md. Blurred dataset samples in dataset_example/.

Stacking usage (on Qwen-Image-Edit-2511)

pipe.load_lora(pipe.dit, "edit_charsheet/epoch-8.safetensors")              # forward edit LoRA @1.0
pipe.load_lora(pipe.dit, "checkpoints/epoch-N.safetensors", alpha=0.3)      # this fixer @low strength
# include n5fw + the relevant z-tokens in the prompt; sweep alpha 0.2/0.3/0.4/0.5

Training config

base Qwen/Qwen-Image (DiT only, t2i)
rank / lr 64 / 7e-5
epochs x steps 10 x 1404 (1170 imgs, +20% short dual-caption, repeat 1)
resolution max_pixels 1763584 (~1328^2)
precision bf16 + gradient checkpointing
captions natural-language + custom anatomy tokens; global trigger n5fw

Loss

loss

epoch step EMA loss min
0 344 0.0513
1 2336 0.0531
2 2997 0.0488
3 4862 0.0531
4 6119 0.0494
5 7741 0.0490
6 9226 0.0502
7 10125 0.0478 <- global min
8 11244 0.0490
9 12945 0.0499

Loss is flat/noisy (normal) - pick the checkpoint by visual eval when stacked, not by loss. Tune the stacking alpha for the best anatomy fix without style/likeness interference.

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