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infer/infer.yaml

@@ -7,55 +7,30 @@ source_size: 1024
 target_size: 1024
 
 # Real-world inference defaults
-data_dir: "/project/llmsvgen/share/data/kmw_layered_dataset/real_world_inference"
-image_dir: "/project/llmsvgen/share/data/kmw_layered_dataset/real_world_inference/layers_real_test_1024"
-test_jsonl: "/project/llmsvgen/share/data/kmw_layered_dataset/real_world_inference/caption_bbox_infer.jsonl"
+data_dir: "demo/outputs/real_world_demo"
+image_dir: "demo/outputs/real_world_demo/layers_real_test_1024"
+test_jsonl: "demo/outputs/real_world_demo/caption_bbox_infer.jsonl"
 
 # Model paths
-pretrained_model_name_or_path: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_checkpoints/FLUX.1-dev"
-pretrained_adapter_path: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_checkpoints/FLUX.1-dev-Controlnet-Inpainting-Alpha"
+pretrained_model_name_or_path: "SynLayers_checkpoints/FLUX.1-dev"
+pretrained_adapter_path: "SynLayers_checkpoints/FLUX.1-dev-Controlnet-Inpainting-Alpha"
 transp_vae_path: "ckpt/trans_vae/0008000.pt"
 
 # Pre-trained LoRA weights
 pretrained_lora_dir: "ckpt/pre_trained_LoRA"
 artplus_lora_dir: "ckpt/prism_ft_LoRA"
 
-# below is for 18k dataset
-#lora_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_18k/step_90000/transformer"
-#layer_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_18k/step_90000"
-#adapter_lora_dir: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_18k/step_90000/adapter"
-
-# below is for 20k dataset
-#lora_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_20k/step_120000/transformer"
-#layer_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_20k/step_120000"
-#adapter_lora_dir: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_20k/step_120000/adapter"
-
-# below is for 30k dataset
-#lora_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_30k/step_150000/transformer"
-#layer_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_30k/step_150000"
-#adapter_lora_dir: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_30k/step_150000/adapter"
-
-# below is for 40k dataset
-#lora_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_40k/step_250000/transformer"
-#layer_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_40k/step_250000"
-#adapter_lora_dir: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_40k/step_250000/adapter"
-
-# below is for 50k dataset
-#lora_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_50k/step_200000/transformer"
-#layer_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_50k/step_200000"
-#adapter_lora_dir: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_train_dataset/ckpt_prism_scaleup_1024_50k/step_200000/adapter"
-
 # unified real-world decomposition checkpoint
-lora_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_ckpt/step_120000/transformer"
-layer_ckpt: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_ckpt/step_120000"
-adapter_lora_dir: "/project/llmsvgen/share/data/kmw_layered_checkpoint/SynLayers_ckpt/step_120000/adapter"
+lora_ckpt: "SynLayers_ckpt/step_120000/transformer"
+layer_ckpt: "SynLayers_ckpt/step_120000"
+adapter_lora_dir: "SynLayers_ckpt/step_120000/adapter"
 
 # Inference settings
 cfg: 4.0
 adapter_scale: 0.9
 max_sequence_length: 1024
 
-save_dir: "/project/llmsvgen/share/data/kmw_layered_dataset/real_world_inference/results"
+save_dir: "demo/outputs/real_world_demo/results"
 #run_name: "step_120000"  # optional manual override
 
 # Sample range control (1-based indexing)