job: extension
config:
  name: wizmen
  process:
  - type: sd_trainer
    training_folder: output
    device: cuda:0
    trigger_word: nkman
    network:
      type: lora
      linear: 32
      linear_alpha: 32
    save:
      dtype: float16
      save_every: 250
      max_step_saves_to_keep: 1000
    datasets:
    - folder_path: /opt/LoRA/images/10_nkman
      caption_ext: txt
      caption_dropout_rate: 0.05
      shuffle_tokens: false
      cache_latents_to_disk: true
      resolution:
      - 512
      - 768
      - 1024
      - 1280
    - folder_path: /opt/LoRA/images/10_sksmen
      caption_ext: txt
      caption_dropout_rate: 0.05
      shuffle_tokens: false
      cache_latents_to_disk: true
      resolution:
      - 512
      - 768
      - 1024
      - 1280
    - folder_path: /opt/LoRA/images/5_pexelsgeneral
      caption_ext: txt
      caption_dropout_rate: 0.05
      shuffle_tokens: false
      cache_latents_to_disk: true
      resolution:
      - 512
      - 768
      - 1024
      - 1280
    - folder_path: /opt/LoRA/images/5_pexelsnature
      caption_ext: txt
      caption_dropout_rate: 0.05
      shuffle_tokens: false
      cache_latents_to_disk: true
      resolution:
      - 512
      - 768
      - 1024
      - 1280
    train:
      batch_size: 1
      steps: 40000
      gradient_accumulation_steps: 1
      train_unet: true
      train_text_encoder: false
      gradient_checkpointing: true
      noise_scheduler: flowmatch
      optimizer: adamw8bit
      lr: 1.0e-05
      ema_config:
        use_ema: true
        ema_decay: 0.99
      dtype: bf16
    model:
      name_or_path: black-forest-labs/FLUX.1-dev
      is_flux: true
      quantize: true
    sample:
      sampler: flowmatch
      sample_every: 250
      width: 1024
      height: 1024
      prompts:
      - A young indian man wearing a baggy jacket, no shirt and low rise jeans. The
        background is a various flora and fauna. The photo was shot during golden
        hour and has heavy film grain. The photo was shot on a kodak film camera and
        looks analog style.
      neg: ''
      seed: 42
      walk_seed: false
      guidance_scale: 3.5
      sample_steps: 20
meta:
  name: wizmen
  version: '1.0'