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{
"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."
}
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