152 lines
8.3 KiB
JSON
152 lines
8.3 KiB
JSON
{
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"id": "qwen-turbo-q8-09",
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"label": "Qwen Image 2.1 Turbo Q8_0 · New brief, retained Q8 runtime · seed 50",
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"group": "qwen21-turbo-q8-comparison",
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"kind": "image",
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"model_id": "qwen-turbo-q8",
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"model": "unsloth/Qwen-Image-2.1-Turbo-GGUF:Q8_0",
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"seed": 50,
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"status": "succeeded",
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"accepted_result": true,
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"prompt": "A detailed travel photograph of a lively Mediterranean open-air produce market in early morning. In the foreground, three wooden crates hold red tomatoes, striped eggplants and yellow lemons, each type kept in its own crate. An adult vendor wearing a plain white shirt stands behind the stall, handing a small paper bag to an adult customer in a green jacket. A striped blue-and-white canopy casts cool shade over the stall. Beyond them, a narrow pedestrian street slopes toward a distant harbor with two white sailboats. Warm sunlight touches the upper walls but the foreground remains softly shaded. Compose the scene in layers with natural human proportions, believable hands, clear separation between people, baskets and produce, and rich but realistic color. Avoid artificial lens flares, watermarks and unreadable signs.",
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"prompt_details": {
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"word_count": 128,
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"complexity": "Crowded composition",
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"conditioning_texts": {
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"3.prompt": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA detailed travel photograph of a lively Mediterranean open-air produce market in early morning. In the foreground, three wooden crates hold red tomatoes, striped eggplants and yellow lemons, each type kept in its own crate. An adult vendor wearing a plain white shirt stands behind the stall, handing a small paper bag to an adult customer in a green jacket. A striped blue-and-white canopy casts cool shade over the stall. Beyond them, a narrow pedestrian street slopes toward a distant harbor with two white sailboats. Warm sunlight touches the upper walls but the foreground remains softly shaded. Compose the scene in layers with natural human proportions, believable hands, clear separation between people, baskets and produce, and rich but realistic color. Avoid artificial lens flares, watermarks and unreadable signs."
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},
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"actual_positive_text": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA detailed travel photograph of a lively Mediterranean open-air produce market in early morning. In the foreground, three wooden crates hold red tomatoes, striped eggplants and yellow lemons, each type kept in its own crate. An adult vendor wearing a plain white shirt stands behind the stall, handing a small paper bag to an adult customer in a green jacket. A striped blue-and-white canopy casts cool shade over the stall. Beyond them, a narrow pedestrian street slopes toward a distant harbor with two white sailboats. Warm sunlight touches the upper walls but the foreground remains softly shaded. Compose the scene in layers with natural human proportions, believable hands, clear separation between people, baskets and produce, and rich but realistic color. Avoid artificial lens flares, watermarks and unreadable signs."
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},
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"parameters": {
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"1 UnetLoaderGGUFAdvanced": {
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"unet_name": "qwen-image-2.1-turbo-Q8_0.gguf",
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"dequant_dtype": "float32",
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"patch_dtype": "float32",
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"patch_on_device": false
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},
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"2 CLIPLoader": {
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"clip_name": "qwen3vl_8b_int8_convrot.safetensors",
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"type": "qwen_image",
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"device": "cpu"
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},
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"3 TextEncodeQwenImage21": {
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"negative_prompt": "",
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"resolution": 512
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},
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"4 VAELoader": {
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"vae_name": "qwen_image_2.1_vae_bf16.safetensors"
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},
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"5 QwenImage21Cache": {
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"device": "off",
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"dtype": "default"
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},
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"6 SamplerCustomAdvanced": {},
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"7 VAEDecode": {},
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"8 SaveImage": {},
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"9 RandomNoise": {
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"noise_seed": 50
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},
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"10 CFGGuider": {
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"cfg": 1.0
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},
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"11 KSamplerSelect": {
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"sampler_name": "euler"
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},
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"12 ManualSigmas": {
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"sigmas": "1.0, 0.978453, 0.95418, 0.926626, 0.89508, 0.845148, 0.704534, 0.414568, 0"
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}
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},
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"timing": {
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"factory_trace_seconds": 506.57207,
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"comfy_server_seconds": 496.444,
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"stages_seconds": {
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"node_2_observer_receive_interval": 7.5,
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"node_3_observer_receive_interval": 119.32799999997951,
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"node_12_observer_receive_interval": 0.01600000000325963,
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"node_11_observer_receive_interval": 0.015000000013969839,
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"node_1_observer_receive_interval": 0.75,
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"node_5_observer_receive_interval": 0.046999999962281436,
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"node_10_observer_receive_interval": 0.01600000000325963,
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"node_9_observer_receive_interval": 0,
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"node_6_observer_receive_interval": 304.0780000000377,
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"node_7_observer_receive_interval": 62.68699999997625,
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"node_8_observer_receive_interval": 1.1410000000032596
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},
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"limits": "Native execution, Factory traces and delivery have distinct boundaries. Observer node intervals include preparation/loading/event delivery rather than isolated kernels."
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},
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"cache": {
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"cached_nodes": [
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"4"
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],
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"same_runtime_retained": true,
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"immediate_warm_claim": false,
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"encoder_cached": false,
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"context": {
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"workload": "New brief, retained Q8 runtime",
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"native_inter_run_gap_seconds": 38.627,
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"only_seed_changed_from_predecessor": false,
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"text_changed_from_predecessor": true,
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"cold_start_scope": null
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}
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},
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"resources": {
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"sampled_summary": {
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"sample_count": 244,
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"inflight_sample_count": 243,
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"minimum_ram_available_bytes": 287199232,
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"minimum_commit_available_bytes": 6060220416,
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"minimum_system_drive_free_bytes": 18655449088,
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"maximum_sampled_device_gpu_used_mib": 3322
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},
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"limits": "Device-wide samples include display and other workloads. No dedicated-VRAM residency or absence of shared-memory paging is established."
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},
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"encoding": {
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"encoder_cached": false,
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"token_truncation_verified": false,
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"interpretation": "Full actual composed conditioning text is retained; exact token truncation was not instrumented."
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},
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"verification": {
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"full_decode": true,
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"checksum": true,
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"acknowledged": true,
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"trace_attachment": true,
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"native_experiment": true,
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"native_comparable_Q4_Q8_experiments": true,
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"independent_public_copy_decode": true,
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"visual_review": true,
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"quality_scope": "Independent subjective inspection of this original 512×512 PNG, distinct from technical delivery. No objective aesthetic superiority is inferred."
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},
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"findings": [
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"Coherent market transaction in a very similar composition, with three produce crates and the requested two main adults.",
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"Most named colors, objects and lighting are followed. The small handoff area still does not clearly establish a paper bag; tiny sailboats cannot be confidently counted.",
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"Fabric, vegetables and wooden crates read distinctly; the distant harbor remains soft.",
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"Vendor posture changes slightly and silhouettes remain plausible. Fingers at the handoff are too small/occluded to certify anatomy or grasp.",
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"No prominent legible sign or watermark appears.",
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"Paper bag and handoff remain ambiguous.",
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"Fine hand detail and exact boat count remain uncertain."
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],
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"media": [
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{
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"path": "media/qwen-turbo-q8-09.png",
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"mime_type": "image/png",
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"size_bytes": 440918,
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"sha256": "582d6cbd288214bc1fe72d967f4fc8dfe6e02877cdc911ad6239b69a312bee6c",
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"source_sha256": "8899960bd59e443153c8b42af68860fc6b9424e1e976d7ca8146fdfaa72f1d05",
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"width": 512,
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"height": 512,
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"pixel_sha256": "78d6c81f60e9b48d08ff057e3eaf9474bb55b3e666a5f5fe2936fa92182b6f05",
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"metadata_handling": "PNG re-encoded losslessly without ancillary metadata; decoded pixels unchanged.",
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"public_copy_full_decode_passed": true,
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"source_content_preserved": "Decoded pixels byte-identical"
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}
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],
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"workflow_path": "workflows/qwen-turbo-q8-09.json",
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"workflow_sha256": "13e5fd449adf21786f0ec920a1a69f396b17c54c1a2f9f6fa559f8c121f822eb",
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"source_workflow_canonical_sha256": "a2c1ef795a8cb5cf39457e1cf0af2ac51c7bc10b1dde2cdf6038633d3ef410fc",
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"matched_comparison": {
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"q4_record": "qwen-turbo-09",
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"q4_media": "media/qwen-turbo-09.png",
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"comparison_path": "qwen-turbo-q4-q8-comparison.json"
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}
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}
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