config:
  name: last
  process:
  - datasets:
    - cache_latents_to_disk: true
      caption_dropout_rate: 0.3
      caption_ext: txt
      folder_path: /dataset/images/956b14d3-7c4d-4d1a-8614-19d6bd025b2f/img
      is_reg: false
      resolution:
      - 512
      - 768
      - 1024
      shuffle_tokens: false
    device: cuda
    model:
      arch: zimage:turbo
      assistant_lora_path: /opt/adapters/zimage/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:
      linear: 16
      linear_alpha: 16
      type: lora
    save:
      dtype: bf16
      max_step_saves_to_keep: 4
      save_every: 200
      save_format: diffusers
    train:
      batch_size: 1
      cache_text_embeddings: false
      dtype: bf16
      ema_config:
        ema_decay: 0.995
        use_ema: false
        use_num_updates: true
      gradient_checkpointing: true
      lr: 0.0001
      noise_scheduler: flowmatch
      optimizer: adamw8bit
      steps: 1610
      timestep_type: sigmoid
    training_folder: /app/checkpoints/956b14d3-7c4d-4d1a-8614-19d6bd025b2f/test-task4
    type: diffusion_trainer
job: extension
meta:
  name: zimage_lora
  version: '1.0'