Add files using upload-large-folder tool
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- 000/caption.txt +1 -0
- 000/instruct_prompt.txt +1 -0
- 000/uno_generated/generated_0.json +25 -0
- 012/caption.txt +1 -0
- 012/uno_generated/generated_0.json +25 -0
- 013/caption.txt +1 -0
- 013/instruct_prompt.txt +1 -0
- 013/uno_generated/generated_0.json +25 -0
- 014/caption.txt +1 -0
- 014/instruct_prompt.txt +1 -0
- 014/uno_generated/generated_0.json +25 -0
- 015/caption.txt +1 -0
- 015/instruct_prompt.txt +1 -0
- 015/uno_generated/generated_0.json +25 -0
- 017/caption.txt +1 -0
- 017/instruct_prompt.txt +1 -0
- 017/uno_generated/generated_0.json +25 -0
- 018/caption.txt +1 -0
- 018/instruct_prompt.txt +1 -0
- 018/uno_generated/generated_0.json +25 -0
- 019/caption.txt +1 -0
- 019/instruct_prompt.txt +1 -0
- 019/uno_generated/generated_0.json +25 -0
- 020/caption.txt +1 -0
- 020/instruct_prompt.txt +1 -0
- 020/uno_generated/generated_0.json +25 -0
- 021/instruct_prompt.txt +1 -0
- 021/uno_generated/generated_0.json +25 -0
- 022/instruct_prompt.txt +1 -0
- 022/uno_generated/generated_0.json +25 -0
- 023/caption.txt +1 -0
- 023/instruct_prompt.txt +1 -0
- 028/uno_generated/generated_0.json +25 -0
- 049/caption.txt +1 -0
- 070/instruct_prompt.txt +1 -0
- 070/uno_generated/generated_0.json +25 -0
- 071/caption.txt +1 -0
- 072/caption.txt +1 -0
- 072/instruct_prompt.txt +1 -0
- 072/uno_generated/generated_0.json +25 -0
- 080/caption.txt +1 -0
- 080/instruct_prompt.txt +1 -0
- 080/uno_generated/generated_0.json +25 -0
- 081/uno_generated/generated_0.json +25 -0
- 082/caption.txt +1 -0
- 082/instruct_prompt.txt +1 -0
- 082/uno_generated/generated_0.json +25 -0
- 083/caption.txt +1 -0
- 083/instruct_prompt.txt +1 -0
- 083/uno_generated/generated_0.json +25 -0
000/caption.txt
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Baby wash
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000/instruct_prompt.txt
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In a softly lit nursery, a baby sleeps peacefully as a parent gently applies the product to a washcloth. The scene is calm and warm, with natural light highlighting the product’s label. The camera captures a close-up, centered view, emphasizing the product’s presence and its gentle interaction with the environment.
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000/uno_generated/generated_0.json
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{
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"prompt": "In a softly lit nursery, a baby sleeps peacefully as a parent gently applies the product to a washcloth. The scene is calm and warm, with natural light highlighting the product\u2019s label. The camera captures a close-up, centered view, emphasizing the product\u2019s presence and its gentle interaction with the environment.",
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"image_paths": [
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"000/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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"only_lora": true,
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"concat_refs": false,
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "000"
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}
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012/caption.txt
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Breakfast cereal
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012/uno_generated/generated_0.json
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{
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"prompt": "Set the product in a sunlit kitchen with warm, natural light. Place it on a wooden table beside a steaming mug and fresh fruit. Capture from a slightly elevated angle, centering the product in a large frame. Highlight its packaging with consistent colors and textures, ensuring the logo remains clear and prominent.",
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"image_paths": [
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"012/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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"only_lora": true,
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"concat_refs": false,
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "012"
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}
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013/caption.txt
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Yogurt container
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013/instruct_prompt.txt
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Place the product on a rustic wooden table beside a sunlit window, with soft morning light highlighting its label. A delicate daisy rests near the base, reflecting natural purity. Capture from a low, eye-level angle, centering the product to dominate the frame, emphasizing its connection to nature and simplicity.
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013/uno_generated/generated_0.json
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{
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"prompt": "Place the product on a rustic wooden table beside a sunlit window, with soft morning light highlighting its label. A delicate daisy rests near the base, reflecting natural purity. Capture from a low, eye-level angle, centering the product to dominate the frame, emphasizing its connection to nature and simplicity.",
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"image_paths": [
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"013/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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"only_lora": true,
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"concat_refs": false,
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "013"
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}
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014/caption.txt
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Snack package
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014/instruct_prompt.txt
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Place the product on a rustic wooden table beside a steaming bowl of noodles in a cozy kitchen. Use warm, soft lighting to highlight its vibrant green packaging. Capture from a slightly elevated angle, centering the product to emphasize its branding and appeal, with natural textures enhancing the scene.
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014/uno_generated/generated_0.json
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{
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"prompt": "Place the product on a rustic wooden table beside a steaming bowl of noodles in a cozy kitchen. Use warm, soft lighting to highlight its vibrant green packaging. Capture from a slightly elevated angle, centering the product to emphasize its branding and appeal, with natural textures enhancing the scene.",
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"image_paths": [
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"014/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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"only_lora": true,
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"concat_refs": false,
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "014"
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}
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015/caption.txt
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Insect repellent
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015/instruct_prompt.txt
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A warm, sunlit evening scene with a family relaxing on a porch. Product placed prominently on a table, glowing softly as it emits a gentle light. Natural human interaction as a child watches the smoke rise. Soft golden lighting enhances the product's vibrant red and green packaging, emphasizing its effectiveness and safety.
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015/uno_generated/generated_0.json
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{
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"prompt": "A warm, sunlit evening scene with a family relaxing on a porch. Product placed prominently on a table, glowing softly as it emits a gentle light. Natural human interaction as a child watches the smoke rise. Soft golden lighting enhances the product's vibrant red and green packaging, emphasizing its effectiveness and safety.",
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"image_paths": [
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"015/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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"only_lora": true,
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"concat_refs": false,
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "015"
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}
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017/caption.txt
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Mango chutney
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017/instruct_prompt.txt
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A warm, softly lit kitchen scene with natural sunlight highlighting a wooden table. A hand gently lifts the lid of the product, revealing its contents. The product is centered, filling the frame, with a shallow depth of field blurring the background. Focus on texture, color, and the moment of discovery.
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017/uno_generated/generated_0.json
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{
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"prompt": "A warm, softly lit kitchen scene with natural sunlight highlighting a wooden table. A hand gently lifts the lid of the product, revealing its contents. The product is centered, filling the frame, with a shallow depth of field blurring the background. Focus on texture, color, and the moment of discovery.",
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"image_paths": [
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"017/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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"only_lora": true,
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"concat_refs": false,
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "017"
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}
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018/caption.txt
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Apple juice
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018/instruct_prompt.txt
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Place the product on a rustic wooden table beside a glass of fresh juice, with sliced apples and a green leaf nearby. Use soft, natural daylight to highlight freshness. Capture from a slightly elevated angle, centering the product with its label clearly visible, ensuring it dominates the frame while interacting naturally with the scene.
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018/uno_generated/generated_0.json
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{
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"prompt": "Place the product on a rustic wooden table beside a glass of fresh juice, with sliced apples and a green leaf nearby. Use soft, natural daylight to highlight freshness. Capture from a slightly elevated angle, centering the product with its label clearly visible, ensuring it dominates the frame while interacting naturally with the scene.",
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"image_paths": [
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"018/product.png"
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],
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"eval_json_path": null,
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"benchmark_path": "/raid/users/oyzh/benchmark/",
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| 8 |
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"save_in_sample_dir": true,
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"offload": false,
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"num_images_per_prompt": 1,
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"model_type": "flux-dev",
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"width": 1024,
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"height": 1024,
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"ref_size": 512,
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"num_steps": 25,
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"guidance": 4.0,
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"seed": 3407,
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"save_path": "output/inference",
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| 19 |
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"only_lora": true,
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| 20 |
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"concat_refs": false,
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| 21 |
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"lora_rank": 512,
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"data_resolution": 512,
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"pe": "d",
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"sample_id": "018"
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}
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019/caption.txt
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Oatcakes package
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019/instruct_prompt.txt
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A warm, rustic wooden table serves as the backdrop, softly lit by natural daylight. A hand gently places the product in the center, its packaging clearly visible. The camera captures a slightly elevated, close-up angle, emphasizing the product's details, colors, and textures, ensuring it remains the focal point.
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019/uno_generated/generated_0.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "A warm, rustic wooden table serves as the backdrop, softly lit by natural daylight. A hand gently places the product in the center, its packaging clearly visible. The camera captures a slightly elevated, close-up angle, emphasizing the product's details, colors, and textures, ensuring it remains the focal point.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"019/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "019"
|
| 25 |
+
}
|
020/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Food container
|
020/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
A warm, rustic wooden table serves as the backdrop, with soft natural light highlighting the product's vibrant red label. A hand gently lifts the lid, revealing the fresh contents. The product is centered, filling the frame, with a slight overhead angle emphasizing its packaging and vegan label.
|
020/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "A warm, rustic wooden table serves as the backdrop, with soft natural light highlighting the product's vibrant red label. A hand gently lifts the lid, revealing the fresh contents. The product is centered, filling the frame, with a slight overhead angle emphasizing its packaging and vegan label.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"020/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "020"
|
| 25 |
+
}
|
021/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Place the product on a rustic wooden table beside a sunlit window, casting soft natural light. A glass of milk sits nearby, with a gentle stream of milk pouring into it, emphasizing freshness. Capture from a slightly elevated angle, centering the product in a warm, inviting scene that highlights its premium quality.
|
021/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Place the product on a rustic wooden table beside a sunlit window, casting soft natural light. A glass of milk sits nearby, with a gentle stream of milk pouring into it, emphasizing freshness. Capture from a slightly elevated angle, centering the product in a warm, inviting scene that highlights its premium quality.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"021/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "021"
|
| 25 |
+
}
|
022/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Position the product on a sunlit marble countertop, surrounded by fresh mint, honey, and sliced fruit. Use soft, natural daylight to highlight its label. Capture from a low, centered angle, filling the frame with the product, emphasizing its placement in a vibrant, healthy breakfast scene.
|
022/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Position the product on a sunlit marble countertop, surrounded by fresh mint, honey, and sliced fruit. Use soft, natural daylight to highlight its label. Capture from a low, centered angle, filling the frame with the product, emphasizing its placement in a vibrant, healthy breakfast scene.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"022/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "022"
|
| 25 |
+
}
|
023/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Rice noodles
|
023/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Position the product in a modern kitchen, centered on a wooden counter under warm, soft lighting. Show hands gently tearing open the package, revealing steam rising from a simmering pot nearby. Capture from a slightly elevated angle, focusing tightly on the product, ensuring the label is clear and the scene feels inviting and authentic.
|
028/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Position the product at the center of a vibrant, sunlit breakfast table, surrounded by fresh strawberries and chocolate beans. Use soft, natural lighting to highlight the creamy texture. Capture from a slightly elevated angle, focusing on the product as the dominant element, with a shallow depth of field to blur the background.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"028/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "028"
|
| 25 |
+
}
|
049/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Banana milk
|
070/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Position the product on a rustic wooden table beside a steaming bowl of braised pork, with soft, warm lighting highlighting its rich color. Capture from a slightly elevated angle, centering the product to emphasize its label and natural interaction with the meal, creating an inviting, authentic dining scene.
|
070/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Position the product on a rustic wooden table beside a steaming bowl of braised pork, with soft, warm lighting highlighting its rich color. Capture from a slightly elevated angle, centering the product to emphasize its label and natural interaction with the meal, creating an inviting, authentic dining scene.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"070/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "070"
|
| 25 |
+
}
|
071/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Soy sauce bottle
|
072/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Sauce jar
|
072/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Position the product on a rustic wooden table beside a steaming bowl of stir-fried eggplant, illuminated by warm, soft lighting. Capture from a slightly elevated angle, centering the jar with its label clearly visible, emphasizing its role in creating a flavorful meal.
|
072/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Position the product on a rustic wooden table beside a steaming bowl of stir-fried eggplant, illuminated by warm, soft lighting. Capture from a slightly elevated angle, centering the jar with its label clearly visible, emphasizing its role in creating a flavorful meal.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"072/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "072"
|
| 25 |
+
}
|
080/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Fruit smoothie
|
080/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Position the product on a sunlit wooden table beside a fresh fruit platter. Use soft natural light from a nearby window to highlight its organic appeal. Capture from a slightly elevated angle, centering the pouch to emphasize its branding and vibrant packaging, ensuring it remains the focal point against the warm, inviting backdrop.
|
080/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Position the product on a sunlit wooden table beside a fresh fruit platter. Use soft natural light from a nearby window to highlight its organic appeal. Capture from a slightly elevated angle, centering the pouch to emphasize its branding and vibrant packaging, ensuring it remains the focal point against the warm, inviting backdrop.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"080/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "080"
|
| 25 |
+
}
|
081/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "A warm, softly lit kitchen scene with natural daylight. A hand gently lifts the lid of the product, revealing steam. The product sits centered on a marble countertop, slightly angled for depth. Background: blurred kitchen elements. Focus: product, with clear branding and texture.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"081/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "081"
|
| 25 |
+
}
|
082/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Candy package
|
082/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
A child smiles, reaching for the product. Soft pink light illuminates the scene, highlighting the vibrant packaging. The product is centered, filling the frame, with a shallow depth of field blurring the whimsical background. Natural interaction emphasizes the playful, vegan candy.
|
082/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "A child smiles, reaching for the product. Soft pink light illuminates the scene, highlighting the vibrant packaging. The product is centered, filling the frame, with a shallow depth of field blurring the whimsical background. Natural interaction emphasizes the playful, vegan candy.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"082/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "082"
|
| 25 |
+
}
|
083/caption.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Bread
|
083/instruct_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Place the product on a rustic wooden table beside a steaming cup of coffee, with soft morning light streaming through a nearby window. Capture from a slightly elevated angle, centering the product in the frame, ensuring its label and sunflower image are clearly visible against the warm, inviting backdrop.
|
083/uno_generated/generated_0.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"prompt": "Place the product on a rustic wooden table beside a steaming cup of coffee, with soft morning light streaming through a nearby window. Capture from a slightly elevated angle, centering the product in the frame, ensuring its label and sunflower image are clearly visible against the warm, inviting backdrop.",
|
| 3 |
+
"image_paths": [
|
| 4 |
+
"083/product.png"
|
| 5 |
+
],
|
| 6 |
+
"eval_json_path": null,
|
| 7 |
+
"benchmark_path": "/raid/users/oyzh/benchmark/",
|
| 8 |
+
"save_in_sample_dir": true,
|
| 9 |
+
"offload": false,
|
| 10 |
+
"num_images_per_prompt": 1,
|
| 11 |
+
"model_type": "flux-dev",
|
| 12 |
+
"width": 1024,
|
| 13 |
+
"height": 1024,
|
| 14 |
+
"ref_size": 512,
|
| 15 |
+
"num_steps": 25,
|
| 16 |
+
"guidance": 4.0,
|
| 17 |
+
"seed": 3407,
|
| 18 |
+
"save_path": "output/inference",
|
| 19 |
+
"only_lora": true,
|
| 20 |
+
"concat_refs": false,
|
| 21 |
+
"lora_rank": 512,
|
| 22 |
+
"data_resolution": 512,
|
| 23 |
+
"pe": "d",
|
| 24 |
+
"sample_id": "083"
|
| 25 |
+
}
|