config:
  name: last
  process:
  - datasets:
    - cache_latents_to_disk: true
      caption_dropout_rate: 0.1
      caption_ext: txt
      folder_path: /dataset/images/4812fd26-28f0-464f-a4d7-ad3acf363f00/img
      is_reg: false
      resolution:
      - 512
      - 768
      - 1024
    device: cuda
    model:
      arch: zimage:turbo
      assistant_lora_path: /opt/models/adapters/zimage_turbo_training_adapter_v2.safetensors
      name_or_path: /cache/models/gradients-io-tournaments--Z-Image-Turbo
      qtype: qfloat8
      qtype_te: qfloat8
      quantize: true
      quantize_te: true
    network:
      conv: 8
      conv_alpha: 8
      linear: 32
      linear_alpha: 32
      type: lora
    save:
      dtype: bf16
      max_step_saves_to_keep: 4
      save_every: 250
      save_format: diffusers
    train:
      batch_size: 1
      do_cfg: true
      dtype: bf16
      ema_config:
        ema_decay: 0.995
        use_ema: true
      gradient_checkpointing: true
      lr: 0.0001
      noise_scheduler: flowmatch
      optimizer: adamw8bit
      steps: 1221
      timestep_type: weighted
    training_folder: /app/checkpoints/4812fd26-28f0-464f-a4d7-ad3acf363f00/y
    trigger_word: Petrova
    type: diffusion_trainer
job: extension
meta:
  name: zimage_lora
  version: '1.0'