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adapter_config.json

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+{
+  "peft_type": "LORA",
+  "r": 16,
+  "lora_alpha": 16,
+  "bias": "none",
+  "target_modules": [
+    "attn.to_q",
+    "attn.to_k",
+    "attn.to_v",
+    "attn.to_out.0"
+  ],
+  "task_type": "DIFFUSION"
+}

config.json

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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."
+}