Upload folder using huggingface_hub (part 5)
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- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/record.json +62 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/record.json +63 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/record.json +63 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/record.json +64 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/record.json +64 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/record.json +63 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/record.json +62 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/record.json +62 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/record.json +62 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/record.json +61 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/layers/layer_00.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/layers/layer_01.png +3 -0
- vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/record.json +61 -0
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/layers/layer_01.png
ADDED
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Git LFS Details
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vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/record.json
ADDED
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@@ -0,0 +1,62 @@
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{
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"prompt_id": "ocr_heavy_d5_37c514cdd8e2",
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"run_name": "flux2_qil_decomposition_pilot",
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| 4 |
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"category": "ocr_heavy",
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| 5 |
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"difficulty": 5,
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| 6 |
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"image_prompt": "synthetic photorealistic sign with 'GATE 42' in a clean, high-contrast font on a white board, clear foreground separation",
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| 7 |
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"target_evidence": "text 'GATE 42' on sign",
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| 8 |
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"expected_visual_elements": [
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"sign",
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"white background",
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"clean font"
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],
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| 13 |
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"negative_prompt": "faded text, cluttered background, real logos, low contrast",
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"diversity_tags": [
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"sign",
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"white background"
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],
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"llm_model_id": "Qwen/Qwen3-8B",
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"prompt_hash": "37c514cdd8e2",
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"rule_valid": true,
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"rule_issues": [],
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"rule_score": 1.0,
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"opening_key": "synthetic photorealistic sign with gate",
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"max_similarity_to_other_prompt": 0.5217,
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"diversity_score": 0.4783,
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"repeated_opening": false,
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"review": {
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"prompt_id": "ocr_heavy_d5_37c514cdd8e2",
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"accept": true,
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"quality": 5,
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| 31 |
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"decomposition_fit": 5,
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"diversity": 4,
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"issues": []
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| 34 |
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},
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"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
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"final_rank_score": 0.97,
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| 37 |
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"status": "qwen_layered_done",
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| 38 |
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"image_model_id": "black-forest-labs/FLUX.2-dev",
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"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
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"image_model_slug": "black-forest-labs_FLUX.2-dev",
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"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/image.png",
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| 42 |
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"image_width": 1024,
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| 43 |
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"image_height": 1024,
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| 44 |
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"num_inference_steps": 28,
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| 45 |
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"guidance_scale": 3.5,
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| 46 |
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"seed": 27344877,
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| 47 |
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"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
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| 48 |
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"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
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| 49 |
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"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
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| 50 |
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"qwen_layer_count_requested": 2,
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| 51 |
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"qwen_layer_count_returned": 2,
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| 52 |
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"qwen_layer_paths": [
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| 53 |
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"layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/layers/layer_00.png",
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| 54 |
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"layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/layers/layer_01.png"
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| 55 |
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],
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| 56 |
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"qwen_resolution": 640,
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| 57 |
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"qwen_num_inference_steps": 5,
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| 58 |
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"qwen_true_cfg_scale": 4.0,
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| 59 |
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"qwen_seed": 9764502,
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| 60 |
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"qwen_elapsed_seconds": 4.488,
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| 61 |
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"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_37c514cdd8e2/record.json"
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| 62 |
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}
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vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/layers/layer_00.png
ADDED
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Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/record.json
ADDED
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@@ -0,0 +1,63 @@
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| 1 |
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{
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| 2 |
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"prompt_id": "ocr_heavy_d5_454a6be8e58d",
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| 3 |
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"run_name": "flux2_qil_decomposition_pilot",
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| 4 |
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"category": "ocr_heavy",
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| 5 |
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"difficulty": 5,
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| 6 |
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"image_prompt": "synthetic photorealistic notebook page with clear foreground separation, containing the text 'UNIT 12' in bold black font on a white background, surrounded by clean lines and sharp focus",
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| 7 |
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"target_evidence": "text region with 'UNIT 12'",
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| 8 |
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"expected_visual_elements": [
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| 9 |
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"notebook page",
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| 10 |
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"bold black text",
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| 11 |
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"white background"
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| 12 |
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],
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| 13 |
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"negative_prompt": "blurry text, low contrast, real brands, watermarks, celebrities, famous logos",
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| 14 |
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"diversity_tags": [
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| 15 |
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"notebook",
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| 16 |
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"bold font",
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| 17 |
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"white background"
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| 18 |
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],
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| 19 |
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"llm_model_id": "Qwen/Qwen3-8B",
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| 20 |
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"prompt_hash": "454a6be8e58d",
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| 21 |
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"rule_valid": true,
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| 22 |
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"rule_issues": [],
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| 23 |
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"rule_score": 1.0,
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| 24 |
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"opening_key": "synthetic photorealistic notebook page with",
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| 25 |
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"max_similarity_to_other_prompt": 0.75,
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| 26 |
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"diversity_score": 0.05,
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| 27 |
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"repeated_opening": true,
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| 28 |
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"review": {
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| 29 |
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"prompt_id": "ocr_heavy_d5_454a6be8e58d",
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| 30 |
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"accept": true,
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| 31 |
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"quality": 5,
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| 32 |
+
"decomposition_fit": 5,
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| 33 |
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"diversity": 4,
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| 34 |
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"issues": []
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| 35 |
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},
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| 36 |
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"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
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| 37 |
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"final_rank_score": 0.97,
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| 38 |
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"status": "qwen_layered_done",
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| 39 |
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"image_model_id": "black-forest-labs/FLUX.2-dev",
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| 40 |
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"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
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| 41 |
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"image_model_slug": "black-forest-labs_FLUX.2-dev",
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| 42 |
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"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_454a6be8e58d/image.png",
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| 43 |
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"image_width": 1024,
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| 44 |
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"image_height": 1024,
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| 45 |
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"num_inference_steps": 28,
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| 46 |
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"guidance_scale": 3.5,
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| 47 |
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"seed": 22820619,
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| 48 |
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"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
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| 49 |
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"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
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| 50 |
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"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
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| 51 |
+
"qwen_layer_count_requested": 2,
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| 52 |
+
"qwen_layer_count_returned": 2,
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| 53 |
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"qwen_layer_paths": [
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| 54 |
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"layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/layers/layer_00.png",
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| 55 |
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"layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/layers/layer_01.png"
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| 56 |
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],
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| 57 |
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"qwen_resolution": 640,
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| 58 |
+
"qwen_num_inference_steps": 5,
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| 59 |
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"qwen_true_cfg_scale": 4.0,
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| 60 |
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"qwen_seed": 1151137,
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| 61 |
+
"qwen_elapsed_seconds": 4.447,
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| 62 |
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"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_454a6be8e58d/record.json"
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| 63 |
+
}
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vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/layers/layer_00.png
ADDED
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Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/layers/layer_01.png
ADDED
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Git LFS Details
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vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/record.json
ADDED
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@@ -0,0 +1,61 @@
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{
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| 2 |
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"prompt_id": "ocr_heavy_d5_5278b7ef8c6a",
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| 3 |
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"run_name": "flux2_qil_decomposition_pilot",
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| 4 |
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"category": "ocr_heavy",
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| 5 |
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"difficulty": 5,
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| 6 |
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"image_prompt": "synthetic photorealistic screen displaying sharp focus and clear foreground, text 'ORBIT' in white on a dark background, part of a dashboard",
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| 7 |
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"target_evidence": "text 'ORBIT' on screen",
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| 8 |
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"expected_visual_elements": [
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| 9 |
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"screen",
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| 10 |
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"dashboard"
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| 11 |
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],
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| 12 |
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"negative_prompt": "faded text, low contrast, real brand logos, watermarks",
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| 13 |
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"diversity_tags": [
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| 14 |
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"screen",
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| 15 |
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"dashboard"
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| 16 |
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],
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| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "5278b7ef8c6a",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic screen displaying sharp",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.6,
|
| 24 |
+
"diversity_score": 0.2,
|
| 25 |
+
"repeated_opening": true,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_5278b7ef8c6a",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 22310793,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 7937327,
|
| 59 |
+
"qwen_elapsed_seconds": 4.77,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_5278b7ef8c6a/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/record.json
ADDED
|
@@ -0,0 +1,63 @@
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|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_549f7f9da427",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic notebook page with 'BLUE-7' written in pencil, visible on a clean white sheet, sharp focus",
|
| 7 |
+
"target_evidence": "BLUE-7",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"notebook page",
|
| 10 |
+
"pencil writing",
|
| 11 |
+
"clean white sheet"
|
| 12 |
+
],
|
| 13 |
+
"negative_prompt": "smudged text, real brands, watermarks, blurred edges",
|
| 14 |
+
"diversity_tags": [
|
| 15 |
+
"notebook page",
|
| 16 |
+
"pencil writing",
|
| 17 |
+
"clean white sheet"
|
| 18 |
+
],
|
| 19 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 20 |
+
"prompt_hash": "549f7f9da427",
|
| 21 |
+
"rule_valid": true,
|
| 22 |
+
"rule_issues": [],
|
| 23 |
+
"rule_score": 1.0,
|
| 24 |
+
"opening_key": "synthetic photorealistic notebook page with",
|
| 25 |
+
"max_similarity_to_other_prompt": 0.4815,
|
| 26 |
+
"diversity_score": 0.3185,
|
| 27 |
+
"repeated_opening": true,
|
| 28 |
+
"review": {
|
| 29 |
+
"prompt_id": "ocr_heavy_d5_549f7f9da427",
|
| 30 |
+
"accept": true,
|
| 31 |
+
"quality": 5,
|
| 32 |
+
"decomposition_fit": 5,
|
| 33 |
+
"diversity": 4,
|
| 34 |
+
"issues": []
|
| 35 |
+
},
|
| 36 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 37 |
+
"final_rank_score": 0.97,
|
| 38 |
+
"status": "qwen_layered_done",
|
| 39 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 40 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 41 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 42 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_549f7f9da427/image.png",
|
| 43 |
+
"image_width": 1024,
|
| 44 |
+
"image_height": 1024,
|
| 45 |
+
"num_inference_steps": 28,
|
| 46 |
+
"guidance_scale": 3.5,
|
| 47 |
+
"seed": 20324232,
|
| 48 |
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"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 49 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 50 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 51 |
+
"qwen_layer_count_requested": 2,
|
| 52 |
+
"qwen_layer_count_returned": 2,
|
| 53 |
+
"qwen_layer_paths": [
|
| 54 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/layers/layer_00.png",
|
| 55 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/layers/layer_01.png"
|
| 56 |
+
],
|
| 57 |
+
"qwen_resolution": 640,
|
| 58 |
+
"qwen_num_inference_steps": 5,
|
| 59 |
+
"qwen_true_cfg_scale": 4.0,
|
| 60 |
+
"qwen_seed": 6696071,
|
| 61 |
+
"qwen_elapsed_seconds": 4.565,
|
| 62 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_549f7f9da427/record.json"
|
| 63 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/record.json
ADDED
|
@@ -0,0 +1,64 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_68980ef803ab",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic crate with high contrast lighting, featuring the text 'TAXI 5' on a sticker with clean boundaries and sharp focus, placed near a metal tool",
|
| 7 |
+
"target_evidence": "text region with 'TAXI 5'",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"crate",
|
| 10 |
+
"sticker",
|
| 11 |
+
"high contrast lighting",
|
| 12 |
+
"metal tool"
|
| 13 |
+
],
|
| 14 |
+
"negative_prompt": "blurry text, low contrast, real brands, watermarks, celebrities, famous logos",
|
| 15 |
+
"diversity_tags": [
|
| 16 |
+
"crate",
|
| 17 |
+
"sticker",
|
| 18 |
+
"metal tool"
|
| 19 |
+
],
|
| 20 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 21 |
+
"prompt_hash": "68980ef803ab",
|
| 22 |
+
"rule_valid": true,
|
| 23 |
+
"rule_issues": [],
|
| 24 |
+
"rule_score": 1.0,
|
| 25 |
+
"opening_key": "synthetic photorealistic crate with high",
|
| 26 |
+
"max_similarity_to_other_prompt": 0.6154,
|
| 27 |
+
"diversity_score": 0.3846,
|
| 28 |
+
"repeated_opening": false,
|
| 29 |
+
"review": {
|
| 30 |
+
"prompt_id": "ocr_heavy_d5_68980ef803ab",
|
| 31 |
+
"accept": true,
|
| 32 |
+
"quality": 5,
|
| 33 |
+
"decomposition_fit": 5,
|
| 34 |
+
"diversity": 4,
|
| 35 |
+
"issues": []
|
| 36 |
+
},
|
| 37 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 38 |
+
"final_rank_score": 0.97,
|
| 39 |
+
"status": "qwen_layered_done",
|
| 40 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 41 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 42 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 43 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_68980ef803ab/image.png",
|
| 44 |
+
"image_width": 1024,
|
| 45 |
+
"image_height": 1024,
|
| 46 |
+
"num_inference_steps": 28,
|
| 47 |
+
"guidance_scale": 3.5,
|
| 48 |
+
"seed": 21726815,
|
| 49 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 50 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 51 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 52 |
+
"qwen_layer_count_requested": 2,
|
| 53 |
+
"qwen_layer_count_returned": 2,
|
| 54 |
+
"qwen_layer_paths": [
|
| 55 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/layers/layer_00.png",
|
| 56 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/layers/layer_01.png"
|
| 57 |
+
],
|
| 58 |
+
"qwen_resolution": 640,
|
| 59 |
+
"qwen_num_inference_steps": 5,
|
| 60 |
+
"qwen_true_cfg_scale": 4.0,
|
| 61 |
+
"qwen_seed": 9074918,
|
| 62 |
+
"qwen_elapsed_seconds": 4.663,
|
| 63 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_68980ef803ab/record.json"
|
| 64 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/record.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_74fc1c35c473",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic crate with 'RIVER 9' printed on a label, clear boundaries, synthetic lighting, visible from the side",
|
| 7 |
+
"target_evidence": "RIVER 9",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"crate",
|
| 10 |
+
"label",
|
| 11 |
+
"synthetic lighting",
|
| 12 |
+
"side view"
|
| 13 |
+
],
|
| 14 |
+
"negative_prompt": "faded text, real brands, watermarks, low resolution",
|
| 15 |
+
"diversity_tags": [
|
| 16 |
+
"crate",
|
| 17 |
+
"label",
|
| 18 |
+
"side view"
|
| 19 |
+
],
|
| 20 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 21 |
+
"prompt_hash": "74fc1c35c473",
|
| 22 |
+
"rule_valid": true,
|
| 23 |
+
"rule_issues": [],
|
| 24 |
+
"rule_score": 1.0,
|
| 25 |
+
"opening_key": "synthetic photorealistic crate with river",
|
| 26 |
+
"max_similarity_to_other_prompt": 0.4,
|
| 27 |
+
"diversity_score": 0.4,
|
| 28 |
+
"repeated_opening": true,
|
| 29 |
+
"review": {
|
| 30 |
+
"prompt_id": "ocr_heavy_d5_74fc1c35c473",
|
| 31 |
+
"accept": true,
|
| 32 |
+
"quality": 5,
|
| 33 |
+
"decomposition_fit": 5,
|
| 34 |
+
"diversity": 4,
|
| 35 |
+
"issues": []
|
| 36 |
+
},
|
| 37 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 38 |
+
"final_rank_score": 0.97,
|
| 39 |
+
"status": "qwen_layered_done",
|
| 40 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 41 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 42 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 43 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_74fc1c35c473/image.png",
|
| 44 |
+
"image_width": 1024,
|
| 45 |
+
"image_height": 1024,
|
| 46 |
+
"num_inference_steps": 28,
|
| 47 |
+
"guidance_scale": 3.5,
|
| 48 |
+
"seed": 29727816,
|
| 49 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 50 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 51 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 52 |
+
"qwen_layer_count_requested": 2,
|
| 53 |
+
"qwen_layer_count_returned": 2,
|
| 54 |
+
"qwen_layer_paths": [
|
| 55 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/layers/layer_00.png",
|
| 56 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/layers/layer_01.png"
|
| 57 |
+
],
|
| 58 |
+
"qwen_resolution": 640,
|
| 59 |
+
"qwen_num_inference_steps": 5,
|
| 60 |
+
"qwen_true_cfg_scale": 4.0,
|
| 61 |
+
"qwen_seed": 7202318,
|
| 62 |
+
"qwen_elapsed_seconds": 4.529,
|
| 63 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_74fc1c35c473/record.json"
|
| 64 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/record.json
ADDED
|
@@ -0,0 +1,63 @@
|
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_9c3ac4f01e0a",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic screen displaying 'UNIT 12' with high contrast text on a dark background, clean boundaries, sharp focus",
|
| 7 |
+
"target_evidence": "UNIT 12",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"screen",
|
| 10 |
+
"dark background",
|
| 11 |
+
"high contrast text"
|
| 12 |
+
],
|
| 13 |
+
"negative_prompt": "blurry text, low contrast, real brands, watermarks, celebrities",
|
| 14 |
+
"diversity_tags": [
|
| 15 |
+
"screen",
|
| 16 |
+
"dark background",
|
| 17 |
+
"high contrast"
|
| 18 |
+
],
|
| 19 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 20 |
+
"prompt_hash": "9c3ac4f01e0a",
|
| 21 |
+
"rule_valid": true,
|
| 22 |
+
"rule_issues": [],
|
| 23 |
+
"rule_score": 1.0,
|
| 24 |
+
"opening_key": "synthetic photorealistic screen displaying unit",
|
| 25 |
+
"max_similarity_to_other_prompt": 1.0,
|
| 26 |
+
"diversity_score": 0.0,
|
| 27 |
+
"repeated_opening": true,
|
| 28 |
+
"review": {
|
| 29 |
+
"prompt_id": "ocr_heavy_d5_9c3ac4f01e0a",
|
| 30 |
+
"accept": true,
|
| 31 |
+
"quality": 5,
|
| 32 |
+
"decomposition_fit": 5,
|
| 33 |
+
"diversity": 4,
|
| 34 |
+
"issues": []
|
| 35 |
+
},
|
| 36 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 37 |
+
"final_rank_score": 0.97,
|
| 38 |
+
"status": "qwen_layered_done",
|
| 39 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 40 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 41 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 42 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/image.png",
|
| 43 |
+
"image_width": 1024,
|
| 44 |
+
"image_height": 1024,
|
| 45 |
+
"num_inference_steps": 28,
|
| 46 |
+
"guidance_scale": 3.5,
|
| 47 |
+
"seed": 21934490,
|
| 48 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 49 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 50 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 51 |
+
"qwen_layer_count_requested": 2,
|
| 52 |
+
"qwen_layer_count_returned": 2,
|
| 53 |
+
"qwen_layer_paths": [
|
| 54 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/layers/layer_00.png",
|
| 55 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/layers/layer_01.png"
|
| 56 |
+
],
|
| 57 |
+
"qwen_resolution": 640,
|
| 58 |
+
"qwen_num_inference_steps": 5,
|
| 59 |
+
"qwen_true_cfg_scale": 4.0,
|
| 60 |
+
"qwen_seed": 1953212,
|
| 61 |
+
"qwen_elapsed_seconds": 4.489,
|
| 62 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_9c3ac4f01e0a/record.json"
|
| 63 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/record.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_a1d7ea50f51f",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic menu board with clean boundaries and high contrast, text 'MESA' in yellow on a black background, displayed in a restaurant",
|
| 7 |
+
"target_evidence": "text 'MESA' on menu board",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"menu board",
|
| 10 |
+
"yellow text"
|
| 11 |
+
],
|
| 12 |
+
"negative_prompt": "blurry text, low contrast, real brand logos, watermarks",
|
| 13 |
+
"diversity_tags": [
|
| 14 |
+
"menu board",
|
| 15 |
+
"restaurant"
|
| 16 |
+
],
|
| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "a1d7ea50f51f",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic menu board with",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.5185,
|
| 24 |
+
"diversity_score": 0.2815,
|
| 25 |
+
"repeated_opening": true,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_a1d7ea50f51f",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 27988147,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 499786,
|
| 59 |
+
"qwen_elapsed_seconds": 4.57,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_a1d7ea50f51f/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/record.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_a9deb5ced6e0",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic screen displaying sharp focus and clear foreground, text 'LIMA' in green on a dark background, embedded in a control panel",
|
| 7 |
+
"target_evidence": "text 'LIMA' on screen",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"screen",
|
| 10 |
+
"control panel"
|
| 11 |
+
],
|
| 12 |
+
"negative_prompt": "faded text, low contrast, real brand logos, watermarks",
|
| 13 |
+
"diversity_tags": [
|
| 14 |
+
"screen",
|
| 15 |
+
"control panel"
|
| 16 |
+
],
|
| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "a9deb5ced6e0",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic screen displaying sharp",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.6,
|
| 24 |
+
"diversity_score": 0.2,
|
| 25 |
+
"repeated_opening": true,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_a9deb5ced6e0",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 23580959,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 5119986,
|
| 59 |
+
"qwen_elapsed_seconds": 5.248,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_a9deb5ced6e0/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/record.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_aa56e3c6a137",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic sign with sharp focus and clear foreground separation, text 'DELTA' in red on a dark background, mounted on a wall",
|
| 7 |
+
"target_evidence": "text 'DELTA' on sign",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"sign",
|
| 10 |
+
"red text"
|
| 11 |
+
],
|
| 12 |
+
"negative_prompt": "faded text, real brand logos, watermarks, cluttered background",
|
| 13 |
+
"diversity_tags": [
|
| 14 |
+
"sign",
|
| 15 |
+
"wall-mounted"
|
| 16 |
+
],
|
| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "aa56e3c6a137",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic sign with sharp",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.64,
|
| 24 |
+
"diversity_score": 0.36,
|
| 25 |
+
"repeated_opening": false,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_aa56e3c6a137",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 27750557,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 719216,
|
| 59 |
+
"qwen_elapsed_seconds": 4.456,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_aa56e3c6a137/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/record.json
ADDED
|
@@ -0,0 +1,62 @@
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|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_b6b750f3837b",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic jersey with a label 'TAXI 5' in a contrasting color, clean stitching, and a sports fabric texture",
|
| 7 |
+
"target_evidence": "label 'TAXI 5' on jersey",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"jersey",
|
| 10 |
+
"label",
|
| 11 |
+
"sports fabric"
|
| 12 |
+
],
|
| 13 |
+
"negative_prompt": "low contrast text, real logos, watermarks, distorted stitching",
|
| 14 |
+
"diversity_tags": [
|
| 15 |
+
"jersey",
|
| 16 |
+
"label"
|
| 17 |
+
],
|
| 18 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 19 |
+
"prompt_hash": "b6b750f3837b",
|
| 20 |
+
"rule_valid": true,
|
| 21 |
+
"rule_issues": [],
|
| 22 |
+
"rule_score": 1.0,
|
| 23 |
+
"opening_key": "synthetic photorealistic jersey with a",
|
| 24 |
+
"max_similarity_to_other_prompt": 0.3571,
|
| 25 |
+
"diversity_score": 0.6429,
|
| 26 |
+
"repeated_opening": false,
|
| 27 |
+
"review": {
|
| 28 |
+
"prompt_id": "ocr_heavy_d5_b6b750f3837b",
|
| 29 |
+
"accept": true,
|
| 30 |
+
"quality": 5,
|
| 31 |
+
"decomposition_fit": 5,
|
| 32 |
+
"diversity": 4,
|
| 33 |
+
"issues": []
|
| 34 |
+
},
|
| 35 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 36 |
+
"final_rank_score": 0.97,
|
| 37 |
+
"status": "qwen_layered_done",
|
| 38 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 39 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 41 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_b6b750f3837b/image.png",
|
| 42 |
+
"image_width": 1024,
|
| 43 |
+
"image_height": 1024,
|
| 44 |
+
"num_inference_steps": 28,
|
| 45 |
+
"guidance_scale": 3.5,
|
| 46 |
+
"seed": 26958848,
|
| 47 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 49 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 50 |
+
"qwen_layer_count_requested": 2,
|
| 51 |
+
"qwen_layer_count_returned": 2,
|
| 52 |
+
"qwen_layer_paths": [
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/layers/layer_00.png",
|
| 54 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/layers/layer_01.png"
|
| 55 |
+
],
|
| 56 |
+
"qwen_resolution": 640,
|
| 57 |
+
"qwen_num_inference_steps": 5,
|
| 58 |
+
"qwen_true_cfg_scale": 4.0,
|
| 59 |
+
"qwen_seed": 2301543,
|
| 60 |
+
"qwen_elapsed_seconds": 4.608,
|
| 61 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_b6b750f3837b/record.json"
|
| 62 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/record.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_be8ea0c7f8f5",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic notebook page with clean boundaries and high contrast, text 'UNIT 12' centered at the top, white background, sharp focus",
|
| 7 |
+
"target_evidence": "text 'UNIT 12' on notebook page",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"notebook page",
|
| 10 |
+
"centered text"
|
| 11 |
+
],
|
| 12 |
+
"negative_prompt": "blurry text, low contrast, real brand logos, watermarks",
|
| 13 |
+
"diversity_tags": [
|
| 14 |
+
"notebook",
|
| 15 |
+
"centered text"
|
| 16 |
+
],
|
| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "be8ea0c7f8f5",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic notebook page with",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.7083,
|
| 24 |
+
"diversity_score": 0.0917,
|
| 25 |
+
"repeated_opening": true,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_be8ea0c7f8f5",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 27895355,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 673259,
|
| 59 |
+
"qwen_elapsed_seconds": 5.121,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_be8ea0c7f8f5/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/record.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_c6a2d9fda628",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic notebook page with clear boundaries, a small text region 'ROOM 18' on a clean white background, sharp focus on the text",
|
| 7 |
+
"target_evidence": "text region with 'ROOM 18'",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"notebook page",
|
| 10 |
+
"white background",
|
| 11 |
+
"sharp text focus"
|
| 12 |
+
],
|
| 13 |
+
"negative_prompt": "blurry text, real brand logos, watermarks, complex background",
|
| 14 |
+
"diversity_tags": [
|
| 15 |
+
"notebook",
|
| 16 |
+
"white background"
|
| 17 |
+
],
|
| 18 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 19 |
+
"prompt_hash": "c6a2d9fda628",
|
| 20 |
+
"rule_valid": true,
|
| 21 |
+
"rule_issues": [],
|
| 22 |
+
"rule_score": 1.0,
|
| 23 |
+
"opening_key": "synthetic photorealistic notebook page with",
|
| 24 |
+
"max_similarity_to_other_prompt": 0.6,
|
| 25 |
+
"diversity_score": 0.2,
|
| 26 |
+
"repeated_opening": true,
|
| 27 |
+
"review": {
|
| 28 |
+
"prompt_id": "ocr_heavy_d5_c6a2d9fda628",
|
| 29 |
+
"accept": true,
|
| 30 |
+
"quality": 5,
|
| 31 |
+
"decomposition_fit": 5,
|
| 32 |
+
"diversity": 4,
|
| 33 |
+
"issues": []
|
| 34 |
+
},
|
| 35 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 36 |
+
"final_rank_score": 0.97,
|
| 37 |
+
"status": "qwen_layered_done",
|
| 38 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 39 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 41 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/image.png",
|
| 42 |
+
"image_width": 1024,
|
| 43 |
+
"image_height": 1024,
|
| 44 |
+
"num_inference_steps": 28,
|
| 45 |
+
"guidance_scale": 3.5,
|
| 46 |
+
"seed": 23749804,
|
| 47 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 49 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 50 |
+
"qwen_layer_count_requested": 2,
|
| 51 |
+
"qwen_layer_count_returned": 2,
|
| 52 |
+
"qwen_layer_paths": [
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/layers/layer_00.png",
|
| 54 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/layers/layer_01.png"
|
| 55 |
+
],
|
| 56 |
+
"qwen_resolution": 640,
|
| 57 |
+
"qwen_num_inference_steps": 5,
|
| 58 |
+
"qwen_true_cfg_scale": 4.0,
|
| 59 |
+
"qwen_seed": 4242814,
|
| 60 |
+
"qwen_elapsed_seconds": 4.538,
|
| 61 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_c6a2d9fda628/record.json"
|
| 62 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/record.json
ADDED
|
@@ -0,0 +1,62 @@
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|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_d35a0d0f21f2",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic menu board with 'ALTO' in a clean, high-contrast font on a white board, sharp focus on text",
|
| 7 |
+
"target_evidence": "text 'ALTO' on menu board",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"menu board",
|
| 10 |
+
"white background",
|
| 11 |
+
"sharp text"
|
| 12 |
+
],
|
| 13 |
+
"negative_prompt": "faded text, cluttered background, real logos, low contrast",
|
| 14 |
+
"diversity_tags": [
|
| 15 |
+
"menu board",
|
| 16 |
+
"white background"
|
| 17 |
+
],
|
| 18 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 19 |
+
"prompt_hash": "d35a0d0f21f2",
|
| 20 |
+
"rule_valid": true,
|
| 21 |
+
"rule_issues": [],
|
| 22 |
+
"rule_score": 1.0,
|
| 23 |
+
"opening_key": "synthetic photorealistic menu board with",
|
| 24 |
+
"max_similarity_to_other_prompt": 0.6087,
|
| 25 |
+
"diversity_score": 0.1913,
|
| 26 |
+
"repeated_opening": true,
|
| 27 |
+
"review": {
|
| 28 |
+
"prompt_id": "ocr_heavy_d5_d35a0d0f21f2",
|
| 29 |
+
"accept": true,
|
| 30 |
+
"quality": 5,
|
| 31 |
+
"decomposition_fit": 5,
|
| 32 |
+
"diversity": 4,
|
| 33 |
+
"issues": []
|
| 34 |
+
},
|
| 35 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 36 |
+
"final_rank_score": 0.97,
|
| 37 |
+
"status": "qwen_layered_done",
|
| 38 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 39 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 41 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/image.png",
|
| 42 |
+
"image_width": 1024,
|
| 43 |
+
"image_height": 1024,
|
| 44 |
+
"num_inference_steps": 28,
|
| 45 |
+
"guidance_scale": 3.5,
|
| 46 |
+
"seed": 29194225,
|
| 47 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 49 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 50 |
+
"qwen_layer_count_requested": 2,
|
| 51 |
+
"qwen_layer_count_returned": 2,
|
| 52 |
+
"qwen_layer_paths": [
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/layers/layer_00.png",
|
| 54 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/layers/layer_01.png"
|
| 55 |
+
],
|
| 56 |
+
"qwen_resolution": 640,
|
| 57 |
+
"qwen_num_inference_steps": 5,
|
| 58 |
+
"qwen_true_cfg_scale": 4.0,
|
| 59 |
+
"qwen_seed": 9324524,
|
| 60 |
+
"qwen_elapsed_seconds": 5.217,
|
| 61 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_d35a0d0f21f2/record.json"
|
| 62 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/record.json
ADDED
|
@@ -0,0 +1,61 @@
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_db75b0748b7e",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic jersey with high contrast and clean boundaries, text 'ALTO' in black on a light blue background, worn fabric texture",
|
| 7 |
+
"target_evidence": "text 'ALTO' on jersey",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"jersey",
|
| 10 |
+
"text on fabric"
|
| 11 |
+
],
|
| 12 |
+
"negative_prompt": "low contrast, blurry text, real logos, watermarks",
|
| 13 |
+
"diversity_tags": [
|
| 14 |
+
"jersey",
|
| 15 |
+
"fabric texture"
|
| 16 |
+
],
|
| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "db75b0748b7e",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic jersey with high",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.5185,
|
| 24 |
+
"diversity_score": 0.4815,
|
| 25 |
+
"repeated_opening": false,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_db75b0748b7e",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_db75b0748b7e/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 26656383,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 8354361,
|
| 59 |
+
"qwen_elapsed_seconds": 4.512,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_db75b0748b7e/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/layers/layer_01.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/record.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt_id": "ocr_heavy_d5_f5a708c509ca",
|
| 3 |
+
"run_name": "flux2_qil_decomposition_pilot",
|
| 4 |
+
"category": "ocr_heavy",
|
| 5 |
+
"difficulty": 5,
|
| 6 |
+
"image_prompt": "synthetic photorealistic poster with sharp focus and clear foreground separation, text 'ZEN' in white on a dark blue background, hanging on a wall",
|
| 7 |
+
"target_evidence": "text 'ZEN' on poster",
|
| 8 |
+
"expected_visual_elements": [
|
| 9 |
+
"poster",
|
| 10 |
+
"wall-mounted"
|
| 11 |
+
],
|
| 12 |
+
"negative_prompt": "faded text, low contrast, real brand logos, watermarks",
|
| 13 |
+
"diversity_tags": [
|
| 14 |
+
"poster",
|
| 15 |
+
"wall-mounted"
|
| 16 |
+
],
|
| 17 |
+
"llm_model_id": "Qwen/Qwen3-8B",
|
| 18 |
+
"prompt_hash": "f5a708c509ca",
|
| 19 |
+
"rule_valid": true,
|
| 20 |
+
"rule_issues": [],
|
| 21 |
+
"rule_score": 1.0,
|
| 22 |
+
"opening_key": "synthetic photorealistic poster with sharp",
|
| 23 |
+
"max_similarity_to_other_prompt": 0.6957,
|
| 24 |
+
"diversity_score": 0.3043,
|
| 25 |
+
"repeated_opening": false,
|
| 26 |
+
"review": {
|
| 27 |
+
"prompt_id": "ocr_heavy_d5_f5a708c509ca",
|
| 28 |
+
"accept": true,
|
| 29 |
+
"quality": 5,
|
| 30 |
+
"decomposition_fit": 5,
|
| 31 |
+
"diversity": 4,
|
| 32 |
+
"issues": []
|
| 33 |
+
},
|
| 34 |
+
"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
|
| 35 |
+
"final_rank_score": 0.97,
|
| 36 |
+
"status": "qwen_layered_done",
|
| 37 |
+
"image_model_id": "black-forest-labs/FLUX.2-dev",
|
| 38 |
+
"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
|
| 39 |
+
"image_model_slug": "black-forest-labs_FLUX.2-dev",
|
| 40 |
+
"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_f5a708c509ca/image.png",
|
| 41 |
+
"image_width": 1024,
|
| 42 |
+
"image_height": 1024,
|
| 43 |
+
"num_inference_steps": 28,
|
| 44 |
+
"guidance_scale": 3.5,
|
| 45 |
+
"seed": 29901775,
|
| 46 |
+
"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
|
| 47 |
+
"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
|
| 48 |
+
"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
|
| 49 |
+
"qwen_layer_count_requested": 2,
|
| 50 |
+
"qwen_layer_count_returned": 2,
|
| 51 |
+
"qwen_layer_paths": [
|
| 52 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/layers/layer_00.png",
|
| 53 |
+
"layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/layers/layer_01.png"
|
| 54 |
+
],
|
| 55 |
+
"qwen_resolution": 640,
|
| 56 |
+
"qwen_num_inference_steps": 5,
|
| 57 |
+
"qwen_true_cfg_scale": 4.0,
|
| 58 |
+
"qwen_seed": 624180,
|
| 59 |
+
"qwen_elapsed_seconds": 4.541,
|
| 60 |
+
"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_f5a708c509ca/record.json"
|
| 61 |
+
}
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/layers/layer_00.png
ADDED
|
Git LFS Details
|
vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/layers/layer_01.png
ADDED
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Git LFS Details
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vec_pilot/layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/record.json
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| 1 |
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{
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"prompt_id": "ocr_heavy_d5_f75d44bf94ac",
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"run_name": "flux2_qil_decomposition_pilot",
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"category": "ocr_heavy",
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"difficulty": 5,
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"image_prompt": "synthetic photorealistic tag on a clean background with high contrast, text 'RIVER 9' in black on a light yellow label, attached to a box",
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"target_evidence": "text 'RIVER 9' on tag",
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"expected_visual_elements": [
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"tag",
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"label"
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],
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"negative_prompt": "blurry text, low contrast, real brand logos, watermarks",
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"diversity_tags": [
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"tag",
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"box"
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],
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"llm_model_id": "Qwen/Qwen3-8B",
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"prompt_hash": "f75d44bf94ac",
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"rule_valid": true,
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"rule_issues": [],
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"rule_score": 1.0,
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"opening_key": "synthetic photorealistic tag on a",
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"max_similarity_to_other_prompt": 0.4815,
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"diversity_score": 0.3185,
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"repeated_opening": true,
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"review": {
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"prompt_id": "ocr_heavy_d5_f75d44bf94ac",
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"accept": true,
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"quality": 5,
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"decomposition_fit": 5,
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"diversity": 4,
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"issues": []
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},
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"review_model_id": "/root/Layered-VQA/models/repos/Qwen_Qwen3-30B-A3B-Instruct-2507",
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"final_rank_score": 0.97,
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"status": "qwen_layered_done",
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"image_model_id": "black-forest-labs/FLUX.2-dev",
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"image_model_source": "/root/Layered-VQA/models/repos/black-forest-labs_FLUX.2-dev",
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"image_model_slug": "black-forest-labs_FLUX.2-dev",
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"image_path": "images/black-forest-labs_FLUX.2-dev/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/image.png",
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"image_width": 1024,
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"image_height": 1024,
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"num_inference_steps": 28,
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"guidance_scale": 3.5,
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"seed": 27626645,
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"qwen_layered_model_id": "Qwen/Qwen-Image-Layered",
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"qwen_layered_model_source": "/root/Layered-VQA/models/repos/Qwen_Qwen-Image-Layered",
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"qwen_layered_prompt": "separate the image into clean transparent layers for foreground objects, readable text, occluders, relation-critical objects, and background",
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"qwen_layer_count_requested": 2,
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"qwen_layer_count_returned": 2,
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"qwen_layer_paths": [
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"layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/layers/layer_00.png",
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"layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/layers/layer_01.png"
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],
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"qwen_resolution": 640,
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"qwen_num_inference_steps": 5,
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"qwen_true_cfg_scale": 4.0,
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"qwen_seed": 7367049,
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"qwen_elapsed_seconds": 5.274,
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"qwen_record_path": "layers-x/k2/ocr_heavy/ocr_heavy_d5_f75d44bf94ac/record.json"
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}
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