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{
"id": "pf-img100-16-t2-s42",
"label": "An artisan binding a book",
"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": "An older artisan sews a handmade book at a wooden workbench, focused on the needle and folded pages.\n\nPhotograph an invented anonymous person in a quiet bookbinding workshop. They wear a plain linen apron over a blue shirt. Shelves of paper, cloth, and unfinished bindings fill the softly lit background.",
"prompt_details": {
"conditioning_texts": {
"4.text": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nAn older artisan sews a handmade book at a wooden workbench, focused on the needle and folded pages.\n\nPhotograph an invented anonymous person in a quiet bookbinding workshop. They wear a plain linen apron over a blue shirt. Shelves of paper, cloth, and unfinished bindings fill the softly lit background.",
"5.text": ""
},
"actual_positive_text": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nAn older artisan sews a handmade book at a wooden workbench, focused on the needle and folded pages.\n\nPhotograph an invented anonymous person in a quiet bookbinding workshop. They wear a plain linen apron over a blue shirt. Shelves of paper, cloth, and unfinished bindings fill the softly lit background.",
"scene_id": "bookbinder-portrait",
"scene_title": "An artisan binding a book",
"tier": 2,
"tier_name": "short",
"word_count": 50,
"requested_traits": [
"Older anonymous bookbinder",
"Sewing folded book pages",
"Apron and blue shirt",
"Workshop materials"
],
"prompt_case_id": "pf-img100-16-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": 69.60585,
"comfy_server_seconds": 68.971,
"comfy_printed_seconds": null,
"stages_seconds": {
"positive_encoding_observer_seconds": 30.93800000002375
},
"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": 35,
"inflight_sample_count": 34,
"minimum_ram_available_bytes": 7904714752,
"minimum_commit_available_bytes": 19510026240,
"minimum_system_drive_free_bytes": 20283265024,
"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-img100-16-t2-s42.png",
"mime_type": "image/png",
"size_bytes": 439380,
"sha256": "149548593b20ba8324a37b9dabd9f2726e3a7877f56c57522ced9c6b8feae2f5",
"source_sha256": "118e9344a9a6271822ad621e5f391af1ce4c1010a86512a1c41b57c567a67f16",
"width": 512,
"height": 512,
"pixel_sha256": "1286af4ddcf56fde4fca0bf26efba0ab6b99a4e5ac5749f6834662a7e05e1829",
"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
}
},
"text_sha256": "18ba706de1edcff498c8d336faa97740884392f3aa7cb056e6dd4c3ffab0d213",
"text_characters": 389,
"text_utf8_bytes": 389,
"text_words": 61,
"actual_token_chunks": {
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],
"total_padded_token_slots": 160
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},
"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": [
[
1,
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],
"encoding_seconds": 30.93800000002375,
"recorded_at": "2026-10-20T23:46:42.226123+00:00"
},
{
"tokenizer_settings": {
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"min_length": 1,
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"pad_token": 151643
}
},
"text_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"text_characters": 0,
"text_utf8_bytes": 0,
"text_words": 0,
"actual_token_chunks": {
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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-img100-16-t2-s42.json",
"workflow_sha256": "4957c0ed0f00a087ed02b6bf725dc03096ffebe37f60d221b1c454efda005da4",
"source_workflow_canonical_sha256": "bf96099e16a272a6132f9099cbf77e0690dd39f0a074d463fb71987c6c60fc96"
}