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ipunktest-9

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ipunktest-9
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config:
  name: last
  process:
  - datasets:
    - cache_latents_to_disk: true
      caption_ext: txt
      folder_path: /cache/images/61f0135e-5d7a-47b2-95f8-5e22b4eae61b/1_lora style
      is_reg: false
      resolution:
      - 512
      - 768
      - 1024
    device: cuda
    model:
      arch: qwen_image
      low_vram: true
      name_or_path: /cache/models/gradients-io-tournaments--Qwen-Image-Jib-Mix
      qtype: float8
      qtype_te: float8
      quantize: true
      quantize_te: true
    network:
      conv_alpha: 32
      conv_rank: 32
      linear: 64
      linear_alpha: 64
      type: lora
    save:
      dtype: bf16
      max_step_saves_to_keep: 4
      save_every: 250
      save_format: diffusers
    train:
      batch_size: 1
      cache_text_embeddings: false
      caption_dropout_rate: 0.15
      cfg_scale: 3.5
      do_cfg: true
      dtype: bf16
      ema_config:
        ema_decay: 0.999
        use_ema: true
      gradient_checkpointing: true
      huber_c: 0.1
      loss_type: huber
      lr: 0.00012
      model_name: Qwen2-VL-7B-Instruct-Jib
      noise_scheduler: flowmatch
      optimizer: adamw8bit
      optimizer_params:
        weight_decay: 0.1
      save_every_n_epochs: 60
      steps: 3000
      timestep_type: weighted
      train_text_encoder: false
      train_unet: true
    training_folder: /app/checkpoints/61f0135e-5d7a-47b2-95f8-5e22b4eae61b/ipunktest-9
    type: diffusion_trainer
job: extension
meta:
  name: qwen_image_lora_jordansky
  version: '1.6'