Kuchiki Rukia - Bleach

Only trained on Season 1 with https://github.com/negaga53/neme-anima on Anima Base v1.

Only trained on images without post processing (bright/dark scenes, flashbacks, etc.)

=== Triggers ===

Character: rkia, official style, kuchiki rukia,

Hair/Eyes: black hair, hair between eyes, purple eyes

Outfit 1: black kimono, black hakama, sandals, // katana

Outfit 2: blazer, school uniform, skirt, kneehighs, bow, ribbon

Outift 3: white shirt, school uniform, skirt, kneehighs, bow, ribbon
Extra: pajamas

Previerw images have been upcsaled with x2 Hires Fix and (partially) with Adetailer (Face and Hand).

Use strength 0.8 - 1.0

This was one of the things I REALLY missed from Illustrious and I finally beat my laziness and trained it myself. It's not perfect by no means but it gets the job done pretty well.

If you think you can create a better lora, PLEASE do it! I attached the training data. I love her man 😭

=== Technical details ===

Training parameters from run.toml and dataset.toml:

epochs = 60

micro_batch_size_per_gpu = 1

pipeline_stages = 1

gradient_accumulation_steps = 2

gradient_clipping = 1.0

warmup_steps = 100

eval_every_n_epochs = 5

eval_before_first_step = true

eval_micro_batch_size_per_gpu = 1

eval_gradient_accumulation_steps = 1

save_every_n_epochs = 10

activation_checkpointing = true

partition_method = "parameters"

save_dtype = "bfloat16"

caching_batch_size = 1

map_num_proc = 8

steps_per_print = 1

compile = true

[model]

type = "anima"

transformer_path = "/home/main/.cache/neme-anima/models/anima-base-v1.0.safetensors"

vae_path = "/home/main/.cache/neme-anima/models/qwen_image_vae.safetensors"

llm_path = "/home/main/.cache/neme-anima/models/qwen_3_06b_base.safetensors"

dtype = "bfloat16"

llm_adapter_lr = 0.0

sigmoid_scale = 1.3

[adapter]

type = "lora"

rank = 32

dtype = "bfloat16"

[optimizer]

type = "adamw_optimi"

lr = 5e-05

betas = [0.9, 0.99]

weight_decay = 0.01

eps = 1e-08

resolutions = [512, 1024, 1536]

enable_ar_bucket = true

min_ar = 0.5

max_ar = 2.0

num_ar_buckets = 9

num_repeats = 1.0