t01nstyle Qwen-Image-Edit-2511 LoRA (40-epoch run)

LoRA for Qwen-Image-Edit-2511 trained with musubi-tuner for paired edit-mode sketch β†’ stylized image generation in style t01nstyle.

Caption / trigger format

t01nstyle, <description>

Dataset

Paired dataset with matching basenames:

  • TargetStyleArt β€” target/style images + captions
  • ControlSketch β€” sketch controls

Training setup

  • model version: edit-2511
  • network dim / alpha: 32 / 32
  • optimizer: adamw8bit
  • learning rate: 1e-4
  • scheduler: constant_with_warmup
  • warmup steps: 400
  • timestep sampling: shift
  • discrete flow shift: 2.2
  • timestep buckets: 4
  • epochs: 40
  • checkpoint save interval: every 1 epoch
  • batch size: 2
  • seed: 42

Exact target modules

This run uses an explicit exact 12-pattern target selection:

  • to_q
  • to_k
  • to_v
  • add_q_proj
  • add_k_proj
  • add_v_proj
  • to_out.0
  • to_add_out
  • img_mlp.net.2
  • img_mod.1
  • txt_mlp.net.2
  • txt_mod.1

Observed module count at launch: 720 LoRA modules.

Files

  • checkpoints/ β€” uploaded epoch checkpoints for this run
  • config/dataset.toml β€” active dataset config
  • config/train_qwen2511_edit_runpod.sh β€” launched train script
  • logs/training.log β€” current training log snapshot
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