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glif-loradex-trainer
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bingbangboom_flux_surf

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Diffusers
template:sd-lora
flux
lora
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bingbangboom_flux_surf
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config:
  name: flux_surf
  process:
  - datasets:
    - cache_latents_to_disk: true
      caption_dropout_rate: 0.2
      caption_ext: txt
      folder_path: /root/lorahub/flux_surf/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: 42
      linear_alpha: 42
      transformer_only: true
      type: lora
    performance_log_every: 500
    sample:
      height: 1024
      neg: ''
      prompts:
      - a woman wearing glasses, wearing a baseball cap, holding a boba tea cup with
        a straw in her hand, the text 'boba' is written on the cup, illustration in
        the style of SRFNGV01
      - a white-haired young woman wearing a flower crown, a very large fiery dragon,
        castle in the background, illustration in the style of SRFNGV01
      - a boy wearing glasses, reading a book, in a cozy bedroom, illustration in
        the style of SRFNGV01
      - text on a poster that says 'flux' placed above a penguin, a orange sun below
        the text, beautiful typography in the style of SRFNGV01
      - a girl wearing a flower crown, standing in a garden, holding a sign that says
        'this is flux surf', illustration in the style of SRFNGV01
      - a robot eating ramen in a busy cafe, illustration in the style of SRFNGV01
      sample_every: 500
      sample_steps: 25
      sampler: flowmatch
      seed: 42
      walk_seed: true
      width: 1024
    save:
      dtype: float16
      max_step_saves_to_keep: 3
      save_every: 500
      save_format: diffusers
    train:
      batch_size: 1
      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: 0.0002
      noise_scheduler: flowmatch
      optimizer: adamw8bit
      reg_weight: 1.0
      steps: 2000
      target_noise_multiplier: 1.0
      train_text_encoder: false
      train_unet: true
    training_folder: /root/lorahub
    trigger_word: SRFNGV01
    type: sd_trainer
job: extension
meta:
  description: ''