207 lines
11 KiB
JSON
207 lines
11 KiB
JSON
{
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"id": "qwen-turbo-q2-09",
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"label": "Qwen Image 2.1 Turbo Q2_K · seed 50",
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"group": "qwen21-turbo-q2-comparison",
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"kind": "image",
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"model_id": "qwen-turbo-q2",
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"model": "unsloth/Qwen-Image-2.1-Turbo-GGUF:Q2_K",
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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-Q2_K.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 PFQwenQ2WholeGeneratorSampler": {},
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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": 204.987736,
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"comfy_server_seconds": 204.134,
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"stages_seconds": {
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"node_3_observer_receive_interval": 108.5,
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"node_10_observer_receive_interval": 0,
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"node_9_observer_receive_interval": 0.01600000006146729,
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"node_6_observer_receive_interval": 66.35899999993853,
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"node_7_observer_receive_interval": 29.125,
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"node_8_observer_receive_interval": 0.06299999996554106
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},
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"limits": "Native graph, trace and observer stage times have separate boundaries. Instrumentation adds overhead."
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},
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"cache": {
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"cached_nodes": [
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"1",
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"11",
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"12",
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"2",
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"4",
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"5"
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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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"native_inter_run_gap_seconds": 29.696,
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"only_seed_changed_from_predecessor": false,
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"text_changed_from_predecessor": true
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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": 101,
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"inflight_sample_count": 100,
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"minimum_ram_available_bytes": 6564458496,
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"minimum_commit_available_bytes": 13469601792,
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"minimum_system_drive_free_bytes": 18553696256,
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"maximum_sampled_device_gpu_used_mib": 4824
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},
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"limits": "Device-wide observations include display/other workloads; exact per-process WDDM observations are separate."
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},
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"residency": {
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"logical_verified": true,
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"registered_parameters_and_buffers_checked": true,
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"strict_placement_snapshots": 11,
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"step_callback_count": 8,
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"callback_boundary": "post_denoiser_pre_euler_update",
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"physical_dedicated_residency_proven": false,
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"generator_unloaded_by_wrapper": false,
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"automatic_partial_or_cpu_fallback": false,
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"minimum_sampled_driver_free_bytes": 0,
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"maximum_torch_peak_allocated_bytes": 3511954432,
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"maximum_torch_peak_reserved_bytes": 4238344192,
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"actual_wddm_evidence_validated": true,
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"wddm_whole_graph_coverage_verified": true,
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"wddm_generator_coverage_verified": true,
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"wddm_whole_graph_window": {
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"coverage_failures": [],
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"duration_seconds": 204.1340000629425,
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"maximum_observed_gap_seconds": 1.0472609996795654,
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"sample_count": 204,
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"maximum_shared_delta_from_idle_bytes": 4194304,
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"boundary_bracket_coverage_verified": true,
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"sampling_gap_coverage_verified": true,
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"median_observed_gap_seconds": 1.0125501155853271,
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"maximum_shared_bytes": 69206016,
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"maximum_dedicated_bytes": 4325101568,
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"maximum_dedicated_delta_from_idle_bytes": 4257259520,
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"coverage_verified": true,
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"boundary_before_seconds": 0.5481951236724854,
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"boundary_after_seconds": 0.6634769439697266
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},
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"wddm_generator_window": {
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"coverage_failures": [],
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"duration_seconds": 66.34918999671936,
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"maximum_observed_gap_seconds": 1.0276000499725342,
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"sample_count": 68,
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"maximum_shared_delta_from_idle_bytes": 4194304,
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"boundary_bracket_coverage_verified": true,
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"sampling_gap_coverage_verified": true,
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"median_observed_gap_seconds": 1.0128090381622314,
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"maximum_shared_bytes": 69206016,
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"maximum_dedicated_bytes": 4325101568,
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"maximum_dedicated_delta_from_idle_bytes": 4257259520,
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"coverage_verified": true,
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"boundary_before_seconds": 0.9175951480865479,
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"boundary_after_seconds": 0.5098450183868408
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},
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"wddm_query_error_count_total": 3,
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"wddm_query_errors_in_whole_graph_window": 0,
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"wddm_query_errors_in_generator_window": 0,
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"scope": "Logical registered-tensor placement at observed boundaries plus time-aligned per-process WDDM counters. Actual coverage failures and query errors remain explicit. Observed maxima do not bound unobserved gaps. Shared usage is compared with the same process/adapter idle baseline; these counters do not prove uninterrupted physical residency or attribute every shared byte to weights."
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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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},
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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_Q2_experiments": true,
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"independent_public_copy_decode": true,
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"visual_review": true,
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"logical_generator_placement": true,
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"wddm_evidence_validated": true,
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"wddm_whole_graph_coverage": true,
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"wddm_generator_window_coverage": true,
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"wddm_observation_coverage": true,
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"physical_dedicated_residency_proven": false
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},
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"findings": [
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"Recognizable outdoor produce stall with three crates and several adults under a blue-and-white canopy.",
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"Tomatoes, eggplants and lemons are separated into crates; vendor wears white and green outerwear is present. A large extra foreground figure obscures much of the right side and harbor; the requested paper-bag transfer is not distinct.",
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"Produce and wood are recognizable, but canopy, faces and clothing have soft painterly/stippled detail rather than crisp photographic texture.",
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"The exchanging hands merge into an indistinct cluster, with no cleanly separated bag. Three people appear, including an additional large green-jacketed back-facing figure.",
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"No clearly readable signs or labels are visible.",
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"Paper bag and hands are not cleanly separated.",
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"Additional foreground person crowds the scene and obscures the harbor; exact two sailboats cannot be verified.",
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"Fine face/canopy detail is soft and painterly."
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],
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"media": [
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{
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"path": "media/qwen-turbo-q2-09.png",
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"mime_type": "image/png",
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"size_bytes": 471548,
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"sha256": "39c07e9e480d635b9e5a0023f87be29816db039fcce5ceda4299d8759bbdd500",
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"source_sha256": "28aee55010f8ea95464c8b2a262a0aa8f87523ee94ce2d5c32a8408f1f73694d",
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"width": 512,
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"height": 512,
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"pixel_sha256": "5d5f20c994fde16ebf5178872ed468f5c560150544c8a97aa6c24af220e6125d",
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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-q2-09.json",
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"workflow_sha256": "7535b3bb456848968bfec93102baa5dbb332b2e6e39de21f2b15aff678bcf0a9",
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"source_workflow_canonical_sha256": "cff6715c70c1e5a473e52223bfdbcf3a3aad457bc98344051fd99f956947b7df",
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"matched_comparison": {
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"q4_record": "qwen-turbo-09",
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"q8_record": "qwen-turbo-q8-09",
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"comparison_path": "qwen-turbo-q4-q8-q2-comparison.json"
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}
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}
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