{
  "note": "Original product-photo inputs are AI-generated. Cutouts and 2× upscales are actual, unretouched outputs from the existing BiRefNet and Real-ESRGAN worker handlers, run locally on CPU. Browsing these cached files starts no inference jobs.",
  "created_at": "2026-11-04",
  "examples": [
    {
      "id": "ceramic-mug",
      "title": "Ceramic mug",
      "description": "A rounded handle and speckled ceramic surface show where the mask and fine texture need review.",
      "input_file": "ceramic-mug-input.png",
      "cutout_file": "ceramic-mug-cutout.png",
      "upscaled_file": "ceramic-mug-upscaled.webp",
      "generated_original_file": "ceramic-mug-generated.png",
      "width": 600,
      "height": 400,
      "scale": 2,
      "cutout_width": 600,
      "cutout_height": 400,
      "upscaled_width": 1200,
      "upscaled_height": 800,
      "input_provenance": "AI-generated original product photo made with the built-in imagegen tool on November 4, 2026; resized from 1536×1024 to 600×400 using sips, with no crop or background editing. Fictional unbranded product, not a customer photograph.",
      "generation_prompt": "Photorealistic commercial still life of one matte sand-colored ceramic mug with a large rounded handle, warm gray tabletop and darker gray studio backdrop, upper-left soft window light, natural speckles, centered fully visible landscape3:2, no labels, text, people, props, logos, watermark or graphics.",
      "models": {
        "cutout": "BiRefNet general",
        "upscale": "Real-ESRGAN x4plus"
      },
      "params": {
        "cutout": {
          "output": "cutout"
        },
        "upscale": {
          "scale": 2,
          "output_format": "webp"
        }
      },
      "execution": {
        "device": "CPU",
        "cutout_seconds": 11.388,
        "upscale_seconds": 170.533,
        "cutout_model_load_seconds": 4.31,
        "upscale_model_load_seconds": 3.41,
        "timing_note": "Processing includes local decoding, inference, encoding and storage transfer; excludes model load. The two upscale jobs ran concurrently. These are CPU observations, not hosted latency or GPU benchmarks.",
        "method": "Existing worker handlers via platform/workers/local_run.py, real cached model weights and a temporary local storage server. No hosted inference call."
      },
      "notes": [
        "The handle opening is transparent in both outputs.",
        "Upscaling smooths the original speckles and can leave edge halos. Inspect against light and dark backgrounds before publishing.",
        "The generated source is an illustrative product photo, not evidence of performance across real customer catalogs."
      ],
      "artifacts": {
        "input.png": {
          "width": 600,
          "height": 400,
          "mode": "RGB",
          "bytes": 304352,
          "sha256": "b711c199952037c13295409824daaf465c90129cfd04224e6c16825b17ad342d",
          "alpha_extrema": null
        },
        "cutout.png": {
          "width": 600,
          "height": 400,
          "mode": "RGBA",
          "bytes": 116425,
          "sha256": "8589b67ae2a113390802b9b81cbb14dc355d6aaff33141fd5ffd6c2abd7750d7",
          "alpha_extrema": [
            0,
            255
          ]
        },
        "upscaled.webp": {
          "width": 1200,
          "height": 800,
          "mode": "RGBA",
          "bytes": 53566,
          "sha256": "5bfbab02dcd44358323c36ef7c136f6ce86c582d0e5a93239cb19e84038c2e1e",
          "alpha_extrema": [
            0,
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          ]
        },
        "generated.png": {
          "width": 1536,
          "height": 1024,
          "mode": "RGB",
          "bytes": 2169742,
          "sha256": "5d0424a079fca2ade609ac8e103731455106c6e5aa5b6622de143f1ffd43ee5c",
          "alpha_extrema": null
        }
      }
    },
    {
      "id": "amber-bottle",
      "title": "Amber pump bottle",
      "description": "Reflective glass and a narrow pump outline make useful edge and transparency checks.",
      "input_file": "amber-bottle-input.png",
      "cutout_file": "amber-bottle-cutout.png",
      "upscaled_file": "amber-bottle-upscaled.webp",
      "generated_original_file": "amber-bottle-generated.png",
      "width": 600,
      "height": 400,
      "scale": 2,
      "cutout_width": 600,
      "cutout_height": 400,
      "upscaled_width": 1200,
      "upscaled_height": 800,
      "input_provenance": "AI-generated original product photo made with the built-in imagegen tool on November 4, 2026; resized from 1536×1024 to 600×400 using sips, with no crop or background editing. Fictional unbranded product, not a customer photograph.",
      "generation_prompt": "Photorealistic commercial still life of one short amber-brown skincare pump bottle with matte black pump, no label, pale warm gray tabletop and muted sage-gray studio wall, upper-left window light and restrained shadow, centered fully visible landscape3:2, no text, brands, people, plants, props, watermark or graphics.",
      "models": {
        "cutout": "BiRefNet general",
        "upscale": "Real-ESRGAN x4plus"
      },
      "params": {
        "cutout": {
          "output": "cutout"
        },
        "upscale": {
          "scale": 2,
          "output_format": "webp"
        }
      },
      "execution": {
        "device": "CPU",
        "cutout_seconds": 14.163,
        "upscale_seconds": 165.404,
        "cutout_model_load_seconds": 3.07,
        "upscale_model_load_seconds": 1.82,
        "timing_note": "Processing includes local decoding, inference, encoding and storage transfer; excludes model load. The two upscale jobs ran concurrently. These are CPU observations, not hosted latency or GPU benchmarks.",
        "method": "Existing worker handlers via platform/workers/local_run.py, real cached model weights and a temporary local storage server. No hosted inference call."
      },
      "notes": [
        "The model isolates the bottle outline; it does not reconstruct physically accurate transparent glass.",
        "Source-colored reflections remain in the bottle, and halos can appear around the pump after upscaling. Review on the intended background.",
        "The generated source is an illustrative product photo, not a real skincare brand or customer photograph."
      ],
      "artifacts": {
        "input.png": {
          "width": 600,
          "height": 400,
          "mode": "RGB",
          "bytes": 253635,
          "sha256": "5733f83fb63f1f4a75ea468155ac26c07e60d40c3a90f2efc84980b655b63160",
          "alpha_extrema": null
        },
        "cutout.png": {
          "width": 600,
          "height": 400,
          "mode": "RGBA",
          "bytes": 59526,
          "sha256": "3bd6939149fa38a2ea2dfc9ac5913763a910a58a201f3126f8bdb61c9c80df40",
          "alpha_extrema": [
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          ]
        },
        "upscaled.webp": {
          "width": 1200,
          "height": 800,
          "mode": "RGBA",
          "bytes": 33756,
          "sha256": "33a1a8cd6c67dd2705333d6a3449378b2d0b4e25e5e4c11f6554ad04d1c113ee",
          "alpha_extrema": [
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          ]
        },
        "generated.png": {
          "width": 1536,
          "height": 1024,
          "mode": "RGB",
          "bytes": 1694684,
          "sha256": "2796f418f78c019dbaf929556fe3a9d4ea3274d5e4666d3897d898e213a4fcbd",
          "alpha_extrema": null
        }
      }
    }
  ]
}