---
job: "extension"
config:
  name: "wan2.2_5b_missionary"
  process:
    - type: "ui_trainer"
      training_folder: "C:\\ai-toolkit\\output"
      sqlite_db_path: "./aitk_db.db"
      device: "cuda"
      trigger_word: "missionary"
      performance_log_every: 10
      network:
        type: "lora"
        linear: 64
        linear_alpha: 64
        conv: 16
        conv_alpha: 16
        lokr_full_rank: true
        lokr_factor: -1
        network_kwargs:
          ignore_if_contains: []
      save:
        dtype: "bf16"
        save_every: 250
        max_step_saves_to_keep: 20
        save_format: "diffusers"
        push_to_hub: false
      datasets:
        - folder_path: "C:\\ai-toolkit\\datasets/missionary"
          control_path: null
          mask_path: null
          mask_min_value: 0.1
          default_caption: ""
          caption_ext: "txt"
          caption_dropout_rate: 0.05
          cache_latents_to_disk: false
          is_reg: false
          network_weight: 1
          resolution:
            - 512
          controls: []
          shrink_video_to_frames: true
          num_frames: 72
      train:
        batch_size: 1
        bypass_guidance_embedding: false
        steps: 6000
        gradient_accumulation: 1
        train_unet: true
        train_text_encoder: false
        gradient_checkpointing: true
        noise_scheduler: "flowmatch"
        optimizer: "adamw8bit"
        timestep_type: "weighted"
        content_or_style: "balanced"
        optimizer_params:
          weight_decay: 0.0001
        unload_text_encoder: true
        lr: 0.0001
        ema_config:
          use_ema: false
          ema_decay: 0.99
        skip_first_sample: true
        disable_sampling: true
        dtype: "bf16"
        diff_output_preservation: false
        diff_output_preservation_multiplier: 1
        diff_output_preservation_class: "person"
      model:
        name_or_path: "C:\\models\\Diffusers\\models--Wan-AI--Wan2.2-TI2V-5B-Diffusers\\snapshots\\4b2672c6ea255d3258fd9f9f04c85780b02ae2bf"
        quantize: false
        qtype: "qfloat8"
        quantize_te: false
        qtype_te: "qfloat8"
        arch: "wan22_5b"
        low_vram: true
        model_kwargs: {}
      sample:
        sampler: "flowmatch"
        sample_every: 250
        width: 768
        height: 1280
        samples: []
        neg: ""
        seed: 42
        walk_seed: true
        guidance_scale: 5
        sample_steps: 15
        num_frames: 73
        fps: 24
meta:
  name: "[name]"
  version: "1.0"