{
  "project": "fluxdev-lora",
  "base_model": "black-forest-labs/FLUX.1-dev",
  "weights_hint": "flux1-dev-fp8.safetensors",
  "task": "dreambooth-lora",
  "resolution": 768,
  "rank": 16,
  "lora_alpha": 16,
  "lora_layers": "attn.to_k,attn.to_q,attn.to_v,attn.to_out.0",
  "train_transformer_frac": 1.0,
  "train_text_encoder_ti": true,
  "enable_t5_ti": false,
  "train_text_encoder_ti_frac": 0.25,
  "optimizer": "prodigy",
  "learning_rate": 1.0,
  "lr_scheduler": "constant",
  "max_train_steps": 1000,
  "train_batch_size": 1,
  "gradient_accumulation_steps": 1,
  "mixed_precision": "bf16",
  "guidance_scale": 1,
  "seed": 42,

  "dataset": {
    "type": "image-caption",
    "path_or_repo": "REPLACE_WITH_DATASET_OR_PATH",
    "image_column": "image",
    "caption_column": "caption",
    "instance_prompt": "TOK",
    "token_abstraction": "TOK",
    "repeats": 1,
    "shuffle": true
  },

  "logging": {
    "wandb": false,
    "report_to": "tensorboard",
    "logging_steps": 25
  },

  "checkpointing": {
    "output_dir": "outputs/fluxdev-lora",
    "save_steps": 200,
    "push_to_hub": true,
    "hub_model_id": "Lachter0808/fluxdev-lora",
    "save_safetensors": true
  },

  "hardware": {
    "gradient_checkpointing": true,
    "use_8bit_adam": false
  },

  "notes": "Config afgestemd op diffusers Advanced Flux Dreambooth LoRA; attention-only LoRA, pivotal tuning op CLIP. Gebruik het base_model voor training; fp8-bestand is een referentie voor inferentie."
}