{
  "id": "pf-img100-06-t2-s42",
  "label": "A miniature woodland mushroom market",
  "group": "image100",
  "kind": "image",
  "model_id": "flux3",
  "model": "Abiray/flux-3-image-klein-sd-GGUF:Q4_K_M",
  "seed": 42,
  "status": "succeeded",
  "accepted_result": true,
  "prompt": "A tiny woodland market gathers beneath red mushrooms, where clothed mice trade berries beside a miniature stall.\n\nPaint a friendly storybook scene in opaque gouache. Three mice wear simple aprons and carry woven baskets. Oversized fern fronds frame the market, and a mossy root supports the stall.",
  "prompt_details": {
    "conditioning_texts": {
      "4.text": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA tiny woodland market gathers beneath red mushrooms, where clothed mice trade berries beside a miniature stall.\n\nPaint a friendly storybook scene in opaque gouache. Three mice wear simple aprons and carry woven baskets. Oversized fern fronds frame the market, and a mossy root supports the stall.",
      "5.text": ""
    },
    "actual_positive_text": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA tiny woodland market gathers beneath red mushrooms, where clothed mice trade berries beside a miniature stall.\n\nPaint a friendly storybook scene in opaque gouache. Three mice wear simple aprons and carry woven baskets. Oversized fern fronds frame the market, and a mossy root supports the stall.",
    "scene_id": "mushroom-market",
    "scene_title": "A miniature woodland mushroom market",
    "tier": 2,
    "tier_name": "short",
    "word_count": 47,
    "requested_traits": [
      "Clothed mice and mushroom market",
      "Exactly three mice",
      "Gouache and woven baskets"
    ],
    "prompt_case_id": "pf-img100-06-t2",
    "arm": "first"
  },
  "parameters": {
    "1 UnetLoaderGGUFAdvanced": {
      "unet_name": "flux3_image_klein_sd_Q4_K_M.gguf",
      "dequant_dtype": "float32",
      "patch_dtype": "float32",
      "patch_on_device": false
    },
    "2 CLIPLoader": {
      "clip_name": "qwen3vl_4b_int8_convrot.safetensors",
      "type": "flux3",
      "device": "cpu"
    },
    "3 VAELoader": {
      "vae_name": "flux2-vae.safetensors"
    },
    "6 EmptyFlux2LatentImage": {
      "width": 512,
      "height": 512,
      "batch_size": 1
    },
    "7 KSampler": {
      "seed": 42,
      "steps": 4,
      "cfg": 1.0,
      "sampler_name": "euler",
      "scheduler": "simple",
      "denoise": 1.0
    }
  },
  "timing": {
    "factory_trace_seconds": 72.466618,
    "comfy_server_seconds": 70.046,
    "comfy_printed_seconds": null,
    "stages_seconds": {
      "positive_encoding_observer_seconds": 31.985000000044238
    },
    "limits": "Factory trace and server totals have different boundaries. Observer node intervals include preparation/event delivery; not isolated kernel or weight-loading times."
  },
  "cache": {
    "cached_nodes": [
      "1",
      "2",
      "3",
      "5",
      "6"
    ],
    "same_runtime_retained": true,
    "immediate_warm_claim": null,
    "context": {},
    "encoder_cached": false,
    "negative_encoder_cached": true
  },
  "resources": {
    "sample_count": 37,
    "inflight_sample_count": 36,
    "minimum_ram_available_bytes": 7900614656,
    "minimum_commit_available_bytes": 19408437248,
    "minimum_system_drive_free_bytes": 20284493824,
    "maximum_sampled_device_gpu_used_mib": 1889
  },
  "verification": {
    "full_decode": true,
    "checksum": true,
    "acknowledged": true,
    "trace_attachment": true,
    "native_experiment": true,
    "quality_scope": "Limited sampled review; no systematic full-resolution/per-trait/full-rate quality score.",
    "independent_public_copy_decode": true
  },
  "findings": [
    "All50thumbnails depict recognizable requested scene families.",
    "No colored-noise, blank or error-text output observed in these50thumbnails.",
    "Different prompt tiers and seeds visibly change compositions and style.",
    "Some poster samples contain extra or malformed lettering; exact lettering and fine anatomy need full-resolution review."
  ],
  "media": [
    {
      "path": "media/pf-img100-06-t2-s42.png",
      "mime_type": "image/png",
      "size_bytes": 547449,
      "sha256": "3a33f8768d0d5bf54cd9e92a97c7461fcef83f46da17abcbd01af55392355ea9",
      "source_sha256": "657aa7d3b5e41ae5c74358411f7f0ce2bfa07532aa66f2f3c5657f90f75abcff",
      "width": 512,
      "height": 512,
      "pixel_sha256": "3be403ec6117df412a9feb55c9359877a3d90754658c794837a0c9f9e2cba123",
      "metadata_handling": "PNG re-encoded losslessly without ancillarymetadata; decodedpixels unchanged.",
      "public_copy_full_decode_passed": true,
      "source_content_preserved": "Decoded pixels byte-identical"
    }
  ],
  "encoding": {
    "token_probes": [
      {
        "tokenizer_settings": {
          "qwen3vl_4b": {
            "max_length": 99999999,
            "min_length": 1,
            "pad_to_max_length": false,
            "pad_token": 151643
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        },
        "text_sha256": "1f2b17c9410842a914d5cf12ce6252408ffbbf85d2a72254e9aa1b62c6eca00a",
        "text_characters": 382,
        "text_utf8_bytes": 382,
        "text_words": 58,
        "actual_token_chunks": {
          "qwen3vl_4b": {
            "chunk_lengths": [
              160
            ],
            "total_padded_token_slots": 160
          }
        },
        "tokenization_seconds": 0.0,
        "tokenizer_class": "Flux3Tokenizer",
        "prompt_shortened_by_this_adapter": false,
        "padding_is_not_content_token_count": true,
        "encoding_status": "completed",
        "conditioning_shapes": [
          [
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            160,
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          ]
        ],
        "encoding_seconds": 31.985000000044238,
        "recorded_at": "2026-10-20T23:39:06.381548+00:00"
      },
      {
        "tokenizer_settings": {
          "qwen3vl_4b": {
            "max_length": 99999999,
            "min_length": 1,
            "pad_to_max_length": false,
            "pad_token": 151643
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        },
        "text_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
        "text_characters": 0,
        "text_utf8_bytes": 0,
        "text_words": 0,
        "actual_token_chunks": {
          "qwen3vl_4b": {
            "chunk_lengths": [
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            "total_padded_token_slots": 80
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        },
        "tokenization_seconds": 0.125,
        "tokenizer_class": "Flux3Tokenizer",
        "prompt_shortened_by_this_adapter": false,
        "padding_is_not_content_token_count": true,
        "encoding_status": "completed",
        "conditioning_shapes": [
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        ],
        "encoding_seconds": 107.25,
        "recorded_at": "2026-10-20T23:01:19.412810+00:00"
      }
    ],
    "encoder_cached": false,
    "token_probe_may_be_reused_from_cached_encoding": false,
    "interpretation": "Tokenprobes are observations fromthe last actualencoding of that text; cachedrequests reuse them. An encoding_seconds value on a reused probe is not new encodingtime for thisrequest. Paddedslots are not content-onlytokens."
  },
  "workflow_path": "workflows/pf-img100-06-t2-s42.json",
  "workflow_sha256": "ce4d2060691b78b43cbf8165dd0f1fcf796e79bea00cebb62866c1035921b95d",
  "source_workflow_canonical_sha256": "965ac89b153de3c436d282984e4c4c845825270995683e9b317a6c49d6430091"
}