{
  "job": "custom_job",
  "config": {
    "name": "flux_train_replicate",
    "process": [
      {
        "type": "custom_sd_trainer",
        "training_folder": "output",
        "device": "cuda:0",
        "trigger_word": "SABA",
        "network": {
          "type": "lora",
          "linear": 18,
          "linear_alpha": 18
        },
        "save": {
          "dtype": "float16",
          "save_every": 1501,
          "max_step_saves_to_keep": 1
        },
        "datasets": [
          {
            "folder_path": "input_images",
            "caption_ext": "txt",
            "caption_dropout_rate": 0.05,
            "shuffle_tokens": false,
            "cache_latents_to_disk": true,
            "resolution": [
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              768,
              1024
            ]
          }
        ],
        "train": {
          "batch_size": 1,
          "steps": 1500,
          "gradient_accumulation_steps": 1,
          "train_unet": true,
          "train_text_encoder": false,
          "content_or_style": "balanced",
          "gradient_checkpointing": true,
          "noise_scheduler": "flowmatch",
          "optimizer": "adamw8bit",
          "lr": 0.0004,
          "ema_config": {
            "use_ema": true,
            "ema_decay": 0.99
          },
          "dtype": "bf16"
        },
        "model": {
          "name_or_path": "FLUX.1-schnell",
          "is_flux": true,
          "quantize": true
        },
        "sample": {
          "sampler": "flowmatch",
          "sample_every": 1501,
          "width": 512,
          "height": 1024,
          "prompts": [],
          "neg": "",
          "seed": 42,
          "walk_seed": true,
          "guidance_scale": 4,
          "sample_steps": 30
        }
      }
    ]
  },
  "meta": {
    "name": "flux_train_replicate",
    "version": "1.0"
  }
}