Dataset:

• v1: 284 images (72 source × ~4 img2img variants each)

• v2: 105 images, cleaner and more focused

Caption format:

• v1: heterochromia, orange eye, ice blue eye — no directional control, base trigger only

• v2: heterochromia, heterochromia_iridum, left_eye_orange, right_eye_blue, different_colored_eyes — full directional control, multiple triggers

Key improvements:

• Added heterochromia_iridum as secondary trigger

• Added different_colored_eyes as tertiary trigger

• left_eye_X and right_eye_X teach the model which color goes on which side

• Red sclera format cleaned up and standardized

• Underscores in all trigger words for cleaner token separation

Training settings:

• v1: 15 repeats, 15 epochs = 31,950 steps, ~17 hours

• v2: 10 repeats, 10 epochs = 5,250 steps, ~3.5 hours

• v2 loss finished at 0.109 vs v1's 0.117 — slightly better convergence

What v2 should do better:

• Consistent left/right eye color assignment when prompted

• Stronger response to specific color combinations

• More reliable red sclera activation

• Better generalization due to cleaner captions

v2 LoRA trigger words:

Main triggers (always include):

heterochromia, heterochromia_iridum, different_colored_eyes

Directional eye control:

left_eye_[color], right_eye_[color]

Color options used in training:

violet, cyan, silver, green, amber, emerald, sapphire, 
turquoise, teal, pink, burgundy, rose, yellow, purple, 
white, ruby, red, magenta, lime, jade, grey, gold, crimson, black

Red sclera format:

left_eye_red_sclera_[iris color]_iris
right_eye_red_sclera_[iris color]_iris

Full example prompts:

heterochromia, heterochromia_iridum, left_eye_blue, right_eye_red, different_colored_eyes, 1girl, white hair

heterochromia, heterochromia_iridum, left_eye_red_sclera_silver_iris, right_eye_violet, different_colored_eyes, 1girl, silver hair, gothic outfit

heterochromia, heterochromia_iridum, left_eye_amber, right_eye_cyan, different_colored_eyes, 1girl

Start with LoRA weight 0.7-0.8 and adjust from there.