kalaya-krea2-lora

Krea 2 character LoRA β€” trigger k4ly woman. Trained on Krea 2 RAW, for inference on Krea 2 Turbo.

Status: training complete

Field Value
Base model krea/Krea-2-Raw (raw.safetensors, 12B DiT)
Trainer Musubi Tuner, networks.lora_krea2
LoRA rank/dim 24, alpha 24
Optimizer adamw8bit, lr 1e-4
Precision bf16, SDPA
Timestep sampling krea2_shift, weighting_scheme none
Trigger k4ly woman
Dataset 57 Seedream-v5-flash 2k frames (31 portrait + 24 medium + 2 full-body), chat set: flirty/seductive expressions, every frame in a different outfit (none in her reference outfit), plain hex-colour backgrounds. Natural-prose captions. Messy updo and gold bracelets are baked into the trigger; gold hoop earrings and a thin gold necklace are captioned where visible. batch 1, 1024 buckets, num_repeats 2
Schedule 12 epochs = 1368 steps, save every 2 epochs, seed 42
Econ run no --gradient_checkpointing + PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True

Loss per checkpoint

avr_loss is a rolling average and near-flat for flow-matching β€” pick the checkpoint visually.

checkpoint epoch avr_loss
-000002 2 0.048
-000004 4 0.0426
-000006 6 0.0415
-000008 8 0.0403
-000010 10 0.0424
final 12 0.037

Inference

Prepend k4ly woman. Recommended: stack over the house style LoRA.

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