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set-ip-adapter

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Upload deepfurniture outputs

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  1. outputs/sdxl_furniture_mean_run1/checkpoint-100000/ip_adapter.bin +3 -0
  2. outputs/sdxl_furniture_mean_run1/checkpoint-25000/ip_adapter.bin +3 -0
  3. outputs/sdxl_furniture_mean_run1/checkpoint-50000/ip_adapter.bin +3 -0
  4. outputs/sdxl_furniture_mean_run1/checkpoint-75000/ip_adapter.bin +3 -0
  5. outputs/sdxl_furniture_mean_run1/config.json +31 -0
  6. outputs/sdxl_furniture_mean_run1/final_checkpoint/ip_adapter.bin +3 -0
  7. outputs/sdxl_furniture_setipadapter_run1/checkpoint-100000/ip_adapter.bin +3 -0
  8. outputs/sdxl_furniture_setipadapter_run1/checkpoint-100000/set_aggregator.bin +3 -0
  9. outputs/sdxl_furniture_setipadapter_run1/checkpoint-25000/ip_adapter.bin +3 -0
  10. outputs/sdxl_furniture_setipadapter_run1/checkpoint-25000/set_aggregator.bin +3 -0
  11. outputs/sdxl_furniture_setipadapter_run1/checkpoint-50000/ip_adapter.bin +3 -0
  12. outputs/sdxl_furniture_setipadapter_run1/checkpoint-50000/set_aggregator.bin +3 -0
  13. outputs/sdxl_furniture_setipadapter_run1/checkpoint-75000/ip_adapter.bin +3 -0
  14. outputs/sdxl_furniture_setipadapter_run1/checkpoint-75000/set_aggregator.bin +3 -0
  15. outputs/sdxl_furniture_setipadapter_run1/config.json +34 -0
  16. outputs/sdxl_furniture_setipadapter_run1/final_checkpoint/ip_adapter.bin +3 -0
  17. outputs/sdxl_furniture_setipadapter_run1/final_checkpoint/set_aggregator.bin +3 -0
outputs/sdxl_furniture_mean_run1/checkpoint-100000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_mean_run1/checkpoint-25000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_mean_run1/checkpoint-50000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_mean_run1/checkpoint-75000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_mean_run1/config.json ADDED
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+ {
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+ "mode": "mean",
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+ "timestamp": "2026-02-13T03:22:41+09:00",
4
+ "annotations_file": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/annotations/annotations_train.json",
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+ "test_annotations_file": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/annotations/annotations_test.json",
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+ "categories_json": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/metadata/categories.json",
7
+ "data_root_path": "/data2/aoyama/SetRetrieval_WACV2026/data/DeepFurniture/furnitures",
8
+ "sdxl_model_id": "stabilityai/stable-diffusion-xl-base-1.0",
9
+ "image_encoder_path": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/IP-Adapter/sdxl_models/image_encoder",
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+ "pretrained_ip_ckpt": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/IP-Adapter/sdxl_models/ip-adapter_sdxl.bin",
11
+ "output_dir": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/outputs/sdxl_furniture_mean_run1",
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+ "learning_rate": "1e-4",
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+ "train_batch_size": "1",
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+ "num_train_epochs": "10",
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+ "gradient_accumulation_steps": "4",
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+ "dataloader_num_workers": "2",
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+ "resolution": "512",
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+ "save_steps": "25000",
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+ "min_set_size": "4",
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+ "max_set_size": "20",
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+ "split_ratio": "0.5",
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+ "scene_manifest_path": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/manifests/aligned_protocol_v1_scene_manifest.json",
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+ "manifest_splits": "train,validation",
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+ "strict_scene_manifest": "1",
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+ "min_ref_images": "2",
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+ "max_ref_images": "5",
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+ "trainable_dtype": "fp32",
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+ "text_encoder_dtype": "fp16",
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+ "text_encoder_device": "cuda",
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+ "attention_slice": "none"
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+ }
outputs/sdxl_furniture_mean_run1/final_checkpoint/ip_adapter.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-100000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-100000/set_aggregator.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-25000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-25000/set_aggregator.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-50000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-50000/set_aggregator.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-75000/ip_adapter.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/checkpoint-75000/set_aggregator.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/config.json ADDED
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+ {
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+ "mode": "set",
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+ "timestamp": "2026-02-22T11:00:16+09:00",
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+ "annotations_file": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/annotations/annotations_train.json",
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+ "test_annotations_file": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/annotations/annotations_test.json",
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+ "categories_json": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/metadata/categories.json",
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+ "data_root_path": "/data2/aoyama/SetRetrieval_WACV2026/data/DeepFurniture/furnitures",
8
+ "sdxl_model_id": "stabilityai/stable-diffusion-xl-base-1.0",
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+ "image_encoder_path": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/IP-Adapter/sdxl_models/image_encoder",
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+ "pretrained_ip_ckpt": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/IP-Adapter/sdxl_models/ip-adapter_sdxl.bin",
11
+ "output_dir": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/outputs/sdxl_furniture_setipadapter_run1",
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+ "learning_rate": "1e-4",
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+ "train_batch_size": "1",
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+ "num_train_epochs": "10",
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+ "gradient_accumulation_steps": "4",
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+ "dataloader_num_workers": "2",
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+ "resolution": "512",
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+ "save_steps": "25000",
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+ "min_set_size": "4",
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+ "max_set_size": "20",
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+ "split_ratio": "0.5",
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+ "scene_manifest_path": "/data2/aoyama/SetRetrieval_WACV2026/deepfurniture/data/manifests/aligned_protocol_v1_scene_manifest.json",
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+ "manifest_splits": "train,validation",
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+ "strict_scene_manifest": "1",
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+ "min_ref_images": "2",
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+ "max_ref_images": "5",
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+ "trainable_dtype": "fp32",
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+ "text_encoder_dtype": "fp16",
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+ "text_encoder_device": "cuda",
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+ "attention_slice": "none",
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+ "sab_layers": "2",
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+ "sab_heads": "8",
33
+ "set_num_tokens": "4"
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+ }
outputs/sdxl_furniture_setipadapter_run1/final_checkpoint/ip_adapter.bin ADDED
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outputs/sdxl_furniture_setipadapter_run1/final_checkpoint/set_aggregator.bin ADDED
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