job: custom_job
config:
  name: wan_train_replicate
  process:
  - type: custom_sd_trainer
    training_folder: output
    device: cuda:0
    trigger_word: LAEZEL
    network:
      type: lora
      linear: 32
      linear_alpha: 32
    save:
      dtype: float16
      save_every: 2001
      max_step_saves_to_keep: 1
    datasets:
    - folder_path: input_images
      caption_ext: txt
      caption_dropout_rate: 0.05
      shuffle_tokens: false
      cache_latents_to_disk: false
      cache_latents: true
      resolution:
      - 632
    train:
      batch_size: 1
      steps: 2000
      gradient_accumulation_steps: 1
      train_unet: true
      train_text_encoder: false
      gradient_checkpointing: false
      noise_scheduler: flowmatch
      timestep_type: sigmoid
      optimizer: adamw8bit
      optimizer_params:
        weight_decay: 0.0001
      lr: 0.0001
      ema_config:
        use_ema: true
        ema_decay: 0.99
      dtype: bf16
    model:
      name_or_path: Wan-AI/Wan2.1-T2V-14B-Diffusers
      quantize: false
      arch: wan21
    sample:
      sampler: flowmatch
      sample_every: 2001
      width: 832
      height: 480
      num_frames: 33
      fps: 16
      prompts: []
      neg: ''
      seed: 42
      walk_seed: true
      guidance_scale: 5
      sample_steps: 30
meta:
  name: wan_train_replicate
  version: '1.0'