config:
  name: Dark_Industrial
  process:
  - datasets:
    - cache_latents_to_disk: true
      caption_dropout_rate: 0.2
      caption_ext: txt
      folder_path: /root/lorahub/Dark_Industrial/dataset
      resolution:
      - 512
      - 768
      - 1024
      shuffle_tokens: false
      token_dropout_rate: 0.01
    device: cuda:0
    model:
      is_flux: true
      name_or_path: black-forest-labs/FLUX.1-dev
      quantize: true
      text_encoder_bits: 8
    network:
      linear: 64
      linear_alpha: 64
      transformer_only: true
      type: lora
    performance_log_every: 500
    sample:
      guidance_scale: 3.5
      height: 896
      neg: ''
      prompts:
      - '[trigger]. A giant dark underground industrial spacious rounded location
        composed of concrete and rusted steel, filled with water with a smooth reflective
        surface and a slight haze.'
      - '[trigger]. In this dark location, corridors, walls, openings, floor and ceiling
        are built only of thick rusty expanded metal mesh and rusty steel angles.
        Behind expanded metal meshes a multilayer structure of the location is visible.
        Through the openings, rusty columns and the meshes of another floor are visible.
        Rare dim industrial lamps could be seen on the walls.'
      - '[trigger]. Living room with sofa and TV, but is underground and has a industrial
        feel. Bent rusty steel iron, peeling crumbling concrete walls, industrial
        trash, darkness, very dim industrial lamp, bent rebar is embedded in the walls.
        Photo.'
      - '[trigger], IMG_1025.HEIC RAW photograph: sewer tunnel with water, rebar sticking
        out of the walls.'
      - '[trigger]. Photo of a statue of a man made only of bent rusty steel rebar.
        It''s dark.'
      - New Year's tree in an empty apartment, garlands, photo.
      sample_every: 500
      sample_steps: 25
      sampler: flowmatch
      seed: 1000
      walk_seed: true
      width: 1152
    save:
      dtype: float16
      max_step_saves_to_keep: 3
      save_every: 500
      save_format: diffusers
    train:
      batch_size: 2
      dtype: bf16
      ema_config:
        ema_decay: 0.99
        use_ema: true
      gradient_accumulation_steps: 1
      gradient_checkpointing: true
      linear_timesteps: true
      loss_type: mse
      lr: 0.0003
      noise_scheduler: flowmatch
      optimizer: adamw8bit
      reg_weight: 1.0
      steps: 3000
      target_noise_multiplier: 1.0
      train_text_encoder: false
      train_unet: true
    training_folder: /root/lorahub
    trigger_word: IndustrialC0re
    type: sd_trainer
job: extension
meta:
  description: v1