{
  "schema_version": 1,
  "model": "MiniMax-H3-Image",
  "model_revision": "7b6142f879bf7a973c449e1dea5480289736cdbd",
  "encoder_revision": "0919fb684102ef115126612f3fbb84d1027e7317",
  "statistic": "Arithmetic mean of three warm HTTP requests, seeds 0, 42, 1234; warmups excluded",
  "latency": "POST to complete base64 PNG response over loopback; client decoding/validation/saving excluded",
  "steps": 6,
  "cases": [
    {"id": "farm-to-table", "task": "t2i", "prompt": "The image is an overhead, top-down photograph of a rustic farm-to-table feast spread across a weathered, dark brown wooden table with visible grain, knots, and a worn finish. In the center, a large woven basket holds a freshly baked rustic loaf of bread with a cracked golden-brown crust and scattered flour, alongside a halved loaf. To the left, a large dark ceramic plate presents an assortment of colorful seasonal vegetables, including bright orange carrots, deep red heirloom tomatoes, purple cabbage, and a mound of vibrant green leafy kale and arugula. On the right side, a wooden board displays artisanal cheeses: a wedge of sharp aged cheddar, a round of creamy brie with a rind, a soft blue cheese, and a few scattered almonds and walnuts. Below the bread in the lower center, a shallow bowl contains roasted root vegetables, including golden potatoes and beets, sprinkled with fresh rosemary sprigs. At the upper right, a glass jar of golden olive oil stands beside a smaller jar of honey with a wooden dipper. In the lower left, a rustic cloth napkin holds a silver knife and fork. At the upper left, a bunch of purple and red grapes rests near a small bowl of black olives. Scattered herbs, including fresh thyme and sprigs of oregano, decorate the table. The lighting is natural and warm, coming from the upper left and casting soft, long shadows to the lower right, enhancing the texture of the bread, the moisture of the vegetables, and the overall cozy, bountiful atmosphere of the meal.", "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "prompt_source": "https://huggingface.co/MiniMaxAI/MiniMax-H3-Image/resolve/7b6142f879bf7a973c449e1dea5480289736cdbd/examples/revised_prompt.t2i.txt", "prompt_preparation": "Official released H3-Image-Context-IR output, reused verbatim; no PE invocation in benchmark", "reference_assets": []},
    {"id": "podcast-edit", "task": "edit", "prompt": "The man on the left in a dark sweater and wristwatch in <Picture 1> is <Subject 1>. The woman on the right in a beige sweater and hoop earrings in <Picture 1> is <Subject 2>. The pair of black microphones on stands in front of the hosts in <Picture 1> is <Subject 3>. The wooden desk sign with raised lettering reading 'MONEY TALKS' in <Picture 1> is <Subject 4>. The black mug on the left with text reading 'INVEST', 'IN', and 'YOURSELF' on three lines in <Picture 1> is <Subject 5>. The black mug on the right with text reading 'PLAN', 'BUILD', and 'WEALTH' on three lines in <Picture 1> is <Subject 6>. The upper-right overlay text reading 'EP. 47' in <Picture 1> is <Subject 7>. The framed wall poster on the right reading 'COMPOUND', 'CONSISTENCY', and 'CONFIDENCE' on three lines in <Picture 1> is <Subject 8>. The small framed shelf sign in the center background reading 'DISCIPLINE', '>', and 'MOTIVATION' on three lines in <Picture 1> is <Subject 9>. The podcast studio environment, including the wooden desk, shelves, lamps, books, and decor in <Picture 1>, is <Subject 10>. The target image shows <Subject 1> without the over-ear headphones from <Picture 1> and with fuller hair, as <Subject 1> and <Subject 2> lean inward to fist-bump directly above <Subject 4> between <Subject 3>. <Subject 1> is partially preserved; his identity, facial features, expression, dark sweater, and wristwatch remain, while his headphones are removed, his crown hair is filled in, and his posture changes from resting his forearms on the desk to leaning toward <Subject 2> with lifted elbows for a central fist-bump. <Subject 2> is partially preserved; her identity, facial features, expression, hair, earrings, and beige sweater remain, while her posture changes from crossed arms on the desk to leaning toward <Subject 1> with lifted elbows for a central fist-bump. <Subject 3> is fully preserved. <Subject 4> is fully preserved. <Subject 5> is fully preserved. <Subject 6> is fully preserved. <Subject 7> is fully preserved. <Subject 8> is fully preserved. <Subject 9> is fully preserved. <Subject 10> is fully preserved. On <Subject 1>, the headband indentation across the top of his head is gone, replaced by natural, voluminous wavy brown curls that match the texture and warm highlights of his existing hair, leaving his ears and temples completely uncovered where the earcups and cords used to be. Both <Subject 1> and <Subject 2> angle their torsos slightly inward toward the center of the frame. Their elbows are raised clear off the desk surface, bringing their inner forearms up into the space behind <Subject 3> and directly above <Subject 4>. Their hands are clenched into fists with knuckles touching dead center between the two microphones of <Subject 3>, casting soft contact shadows onto each other's knuckles and subtle warm light reflections from the studio lamps across their sleeves and raised arms.", "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "prompt_source": "https://huggingface.co/MiniMaxAI/MiniMax-H3-Image/resolve/7b6142f879bf7a973c449e1dea5480289736cdbd/examples/revised_prompt.edit.txt", "prompt_preparation": "Official released H3-Image-Context-IR output, reused verbatim; no PE invocation in benchmark", "reference_assets": [{"path": "podcast-reference.png", "sha256": "e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d", "source": "https://huggingface.co/MiniMaxAI/MiniMax-H3-Image/resolve/7b6142f879bf7a973c449e1dea5480289736cdbd/examples/reference1.png"}]},
    {"id": "creative-poster", "task": "t2i", "brief": "A fictional creative-studio poster with exact typography and a restrained paper sculpture.", "prompt": "A finished graphic poster on a warm ivory background combines large charcoal typography with a photographed paper sculpture. The headline occupies the upper third in two clearly separated, left-aligned lines: \"MAKE ROOM\" followed by \"FOR IDEAS\". A small line immediately below reads \"A creative workshop\" in a simple sans-serif typeface. The headline is bold, clean, and fully legible, with no curved baselines or letters hidden behind objects. The lower half contains one sculptural arrangement made from exactly three broad strips of colored paper: a terracotta arch on the left, a muted blue loop at the center, and an ochre folded zigzag on the right. Each strip rests on the same ivory surface; the arch has two supported ends, the loop touches the surface at its base, and the zigzag stands on its folded lower edge. A soft light from the upper left reveals the paper thickness and casts gentle shadows beneath the three forms. Generous empty margins separate the sculpture from the text. The only footer is \"Bring your next idea.\" at the lower left, aligned with the headline. No dates, prices, sponsor names, extra words, ornamental borders, or performance claims appear.", "prompt_sha256": "e1215a442c3ddf5979529f8eb9967eb3746d066767a667d1d1f61dc3f1d778cb", "prompt_source": "https://github.com/MiniMax-AI/MiniMax-H3-Image/blob/6ea7b9e55523a2177e4f759db372065ba6089510/skills/h3-image-prompt-writing/SKILL.md", "prompt_preparation": "Benchmark-authored with the official H3-Image prompt-writing skill; no PE checkpoint invocation", "reference_assets": [], "visual_review_checks": ["Exact headline, subtitle, and footer", "Three paper forms, one of each specified shape", "Readable hierarchy and physical contact"]},
    {"id": "game-third-person-adventure", "task": "t2i", "brief": "An indie studio explores an over-the-shoulder adventure-game camera and a readable route through a flooded observatory.", "prompt": "A single full-frame landscape gameplay-style visual concept for an original third-person exploration game, rendered as detailed real-time 3D game art. The camera is behind and slightly above one adult explorer in the lower-left foreground. The explorer wears a short ochre rain cape, dark trousers and a compact canvas backpack, with both boots planted on a wet stone landing. Their head and body face the distant destination at screen right; one small brass lantern hangs from their right hand. The character occupies about one-fifth of the image height so the environment and route remain easy to read.\n\nA continuous narrow stone bridge begins at the foreground landing, bends through the center of the frame and ends at an open arched doorway on the right side of a ruined observatory. The entire bridge remains visible above calm floodwater, with plausible supports, shallow steps and a low parapet along its outer edge. Warm amber light inside the destination doorway contrasts with cool blue twilight outside. Broken telescope housings, oxidized copper domes and moss-covered masonry make the observatory distinctive. Reeds and floating leaves sit below the bridge, while distant mountains recede into low mist. Water reflects the architecture and doorway light in the correct places. Natural material detail, atmospheric depth and restrained bloom support a believable game environment. The frame contains exactly one human character, no enemies, no HUD, no written text, no logos and no outer monitor or device border.", "reference_assets": [], "expected_text": [], "visual_review_checks": ["Exactly one explorer, facing the doorway, with plausible hands and boot contact.", "The bridge is a continuous traversable route from the foreground landing to the doorway; no disconnected segments.", "Camera reads as third-person gameplay, not a posed portrait or cover poster.", "No accidental lettering, HUD or monitor border."], "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "prompt_skill": "https://github.com/MiniMax-AI/MiniMax-H3-Image/blob/6ea7b9e55523a2177e4f759db372065ba6089510/skills/h3-image-prompt-writing/SKILL.md", "prompt_preparation": "Authored using the pinned H3 prompt-writing skill; PE inference not run.", "disclosure": "Generated game-art / interface concept, not a captured frame from a running game.", "quality_status": "pending_all_three_seed_review"},
    {"id": "social-chinese-night-market-poster", "task": "t2i", "aspect": "3:4", "brief": "An independent bookstore needs a Chinese event poster with exact opening hours, admission price and a useful three-stop visitor schedule.", "source_ids": ["chinese-poster"], "reference_assets": [], "prompt": "A finished portrait event poster for a fictional independent bookstore's evening arts market. The design combines large, exceptionally legible Simplified Chinese lettering with a warm screen-printed illustration of an open-air courtyard at dusk. Cream paper, deep indigo ink and persimmon orange create a restrained three-color palette. The illustration shows three distinct stalls: an open book display, a small ceramic display and a coffee cart. They sit beneath a string of glowing round lanterns. A few small adult visitors provide scale without covering the lettering. This is the poster artwork itself, with no wall, frame or device around it.\n\nAt the top, set the exact headline \"把夜晚交给灵感\" in very large confident Chinese display type. Immediately below it, a smaller line reads \"纸间书店 · 周末创意夜市\". Leave generous space around both lines. Beneath the courtyard illustration, put two clear information lines: \"2026年11月21日 18:00–22:00\" and \"河岸路18号 · 入场免费\". At the bottom, a tidy three-column schedule pairs each time with its activity. From left to right the columns read \"18:30 活字印刷\", \"19:30 手作陶艺\" and \"20:30 独立放映\". Each time and its activity appear together in the same column. Use crisp Chinese glyphs with complete strokes, aligned baselines and enough contrast for every detail to remain readable. The quoted phrases are the complete poster copy; include each exactly once, with no invented sponsor names, QR codes or filler text.", "expected_text": ["把夜晚交给灵感", "纸间书店", "周末创意夜市", "2026年11月21日", "18:00", "22:00", "河岸路18号", "入场免费", "18:30", "活字印刷", "19:30", "手作陶艺", "20:30", "独立放映"], "visual_review_checks": ["Read every Chinese glyph, address, date and time at full resolution.", "Three schedule columns preserve each time/activity pairing without omissions or duplicates.", "Book, ceramic and coffee stalls are distinct and do not obscure the copy.", "No filler text or additional invented event information."], "prompt_sha256": "733ddd0537e34b849ea5356c20cb984208109f646ac5f9be17747ac12d85fa5c", "prompt_skill": "https://github.com/MiniMax-AI/MiniMax-H3-Image/blob/6ea7b9e55523a2177e4f759db372065ba6089510/skills/h3-image-prompt-writing/SKILL.md", "prompt_preparation": "Original detailed brief using the pinned H3 skill; no PE checkpoint inference.", "quality_status": "pending_all_three_seed_review", "comparison_scope": "Community-inspired task adaptation; no GPT Image 2.5 API execution or head-to-head quality claim."}
  ],
  "aspect_ratios": ["1:1", "4:3", "3:4", "3:2", "2:3", "16:9", "9:16", "21:9"],
  "quality": "Preselected seed42 on every system, unretouched except resizing/WebP encoding. Added poster/game cases reviewed across all three seeds for composition and specified copy; this is not pixel equivalence or a claim that every instruction is perfectly followed.",
  "rows": [
    {"id": "farm-to-table-2048x2048", "case": "farm-to-table", "tier_mp": 4, "aspect": "1:1", "width": 2048, "height": 2048, "actual_mp": 4.194304, "reference_count": 0, "expected_generation_canvas": [2048, 2048], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.8236637824059775, "min_s": 0.8142641729209572, "max_s": 0.8373925001360476, "samples_s": [0.8373925001360476, 0.8142641729209572, 0.8193346741609275], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb200-farm-to-table-2048x2048-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.8142641729209572, "original_png_sha256": "be6479da61135458337b10be8e6d11ca7594b44085cbf39f121ed902abeb3af0", "preview_max_dimension": 512},
    {"id": "podcast-edit-2048x2048", "case": "podcast-edit", "tier_mp": 4, "aspect": "1:1", "width": 2048, "height": 2048, "actual_mp": 4.194304, "reference_count": 1, "expected_generation_canvas": [2048, 2048], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.0296305013665308, "min_s": 0.9187818609643728, "max_s": 1.1233851311262697, "samples_s": [0.9187818609643728, 1.1233851311262697, 1.0467245120089501], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb200-podcast-edit-2048x2048-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.1233851311262697, "original_png_sha256": "2691a350abeb978b19027af666e5af5ab73b8f7debad0630422a6b8dbf984f16", "preview_max_dimension": 512},
    {"id": "farm-to-table-4096x4096", "case": "farm-to-table", "tier_mp": 16, "aspect": "1:1", "width": 4096, "height": 4096, "actual_mp": 16.777216, "reference_count": 0, "expected_generation_canvas": [4096, 4096], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.0456547900879136, "min_s": 2.0384023811202496, "max_s": 2.0512330641504377, "samples_s": [2.047328924993053, 2.0512330641504377, 2.0384023811202496], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb200-farm-to-table-4096x4096-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.0512330641504377, "original_png_sha256": "e66e661b60157c780f4bf1decefc867d63c531fc30352d4cb4973dba364cd6f2", "preview_max_dimension": 512},
    {"id": "podcast-edit-4096x4096", "case": "podcast-edit", "tier_mp": 16, "aspect": "1:1", "width": 4096, "height": 4096, "actual_mp": 16.777216, "reference_count": 1, "expected_generation_canvas": [4096, 4096], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.3897343267065785, "min_s": 2.387717366218567, "max_s": 2.392715004971251, "samples_s": [2.392715004971251, 2.387717366218567, 2.388770608929917], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb200-podcast-edit-4096x4096-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.387717366218567, "original_png_sha256": "547b59a6fd4acdad8baffa33def2c4b6f8597096ddbf7e8904682ec2a6487c54", "preview_max_dimension": 512},
    {"id": "farm-to-table-6272x2688", "case": "farm-to-table", "tier_mp": 16, "aspect": "21:9", "width": 6272, "height": 2688, "actual_mp": 16.859136, "reference_count": 0, "expected_generation_canvas": [6272, 2688], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.0913268344011158, "min_s": 2.083641542121768, "max_s": 2.101357384119183, "samples_s": [2.101357384119183, 2.0889815769623965, 2.083641542121768], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb200-farm-to-table-6272x2688-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.0889815769623965, "original_png_sha256": "fda61ca3630288742ef8dfe1b59e52de704efe9d45b9b7b2b75bc252113d2708", "preview_max_dimension": 512},
    {"id": "podcast-edit-6272x2688", "case": "podcast-edit", "tier_mp": 16, "aspect": "21:9", "width": 6272, "height": 2688, "actual_mp": 16.859136, "reference_count": 1, "expected_generation_canvas": [6272, 2688], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.4220188485924155, "min_s": 2.416182793909684, "max_s": 2.426081013865769, "samples_s": [2.416182793909684, 2.426081013865769, 2.4237927380017936], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb200-podcast-edit-6272x2688-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.426081013865769, "original_png_sha256": "9604dcfe5d8ed43bc059644759814f1aa274e5ec299a729bec4f04db688d03e0", "preview_max_dimension": 512},
    {"id": "farm-to-table-4480x4480", "case": "farm-to-table", "tier_mp": 20, "aspect": "1:1", "width": 4480, "height": 4480, "actual_mp": 20.0704, "reference_count": 0, "expected_generation_canvas": [4480, 4480], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.525562707645198, "min_s": 2.5192138340789825, "max_s": 2.5313014190178365, "samples_s": [2.5192138340789825, 2.526172869838774, 2.5313014190178365], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb200-farm-to-table-4480x4480-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.526172869838774, "original_png_sha256": "1cb7c7e16a9eedc39b26343993ce1ba3fa721faa425ba236c7c7df2061877b2d", "preview_max_dimension": 512},
    {"id": "podcast-edit-4480x4480", "case": "podcast-edit", "tier_mp": 20, "aspect": "1:1", "width": 4480, "height": 4480, "actual_mp": 20.0704, "reference_count": 1, "expected_generation_canvas": [4480, 4480], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.9973658820769438, "min_s": 2.9952823310159147, "max_s": 3.000418493989855, "samples_s": [3.000418493989855, 2.996396821225062, 2.9952823310159147], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb200-podcast-edit-4480x4480-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.996396821225062, "original_png_sha256": "763ad3a4479c3fc297bbc916853230ef056de62f80526ad28603549e75840aff", "preview_max_dimension": 512},
    {"id": "farm-to-table-2048x2048", "case": "farm-to-table", "tier_mp": 4, "aspect": "1:1", "width": 2048, "height": 2048, "actual_mp": 4.194304, "reference_count": 0, "expected_generation_canvas": [2048, 2048], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.8249260233715177, "min_s": 0.7985719130374491, "max_s": 0.8763890539994463, "samples_s": [0.7998171030776575, 0.7985719130374491, 0.8763890539994463], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb300-farm-to-table-2048x2048-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.7985719130374491, "original_png_sha256": "d6b1db30f7acf9912ba0c897bc593314a1defe8f79fd8841ddea5ff9340d0f2b", "preview_max_dimension": 512},
    {"id": "podcast-edit-2048x2048", "case": "podcast-edit", "tier_mp": 4, "aspect": "1:1", "width": 2048, "height": 2048, "actual_mp": 4.194304, "reference_count": 1, "expected_generation_canvas": [2048, 2048], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.8927216306328773, "min_s": 0.8897854769602418, "max_s": 0.8976005569566041, "samples_s": [0.8976005569566041, 0.8907788579817861, 0.8897854769602418], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb300-podcast-edit-2048x2048-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.8907788579817861, "original_png_sha256": "b0291edca9bbffc5a6acacf9e5b8f0faf455c781805b9944710c0854e2581bf5", "preview_max_dimension": 512},
    {"id": "farm-to-table-4096x4096", "case": "farm-to-table", "tier_mp": 16, "aspect": "1:1", "width": 4096, "height": 4096, "actual_mp": 16.777216, "reference_count": 0, "expected_generation_canvas": [4096, 4096], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.502908303363559, "min_s": 1.4986098060617223, "max_s": 1.5066404080716893, "samples_s": [1.4986098060617223, 1.5066404080716893, 1.5034746959572658], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb300-farm-to-table-4096x4096-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.5066404080716893, "original_png_sha256": "42831ff775ded3eec306a7c272b321ccd284dedb4d5d2082637f2e7d2aa6f365", "preview_max_dimension": 512},
    {"id": "podcast-edit-4096x4096", "case": "podcast-edit", "tier_mp": 16, "aspect": "1:1", "width": 4096, "height": 4096, "actual_mp": 16.777216, "reference_count": 1, "expected_generation_canvas": [4096, 4096], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.737617965360793, "min_s": 1.7330176209798083, "max_s": 1.7411687680287287, "samples_s": [1.7330176209798083, 1.7411687680287287, 1.738667507073842], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb300-podcast-edit-4096x4096-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.7411687680287287, "original_png_sha256": "4fb517631cf87aba407ba43fd886c58411edb876bd1ba692a79fee6067aa11d8", "preview_max_dimension": 512},
    {"id": "farm-to-table-6272x2688", "case": "farm-to-table", "tier_mp": 16, "aspect": "21:9", "width": 6272, "height": 2688, "actual_mp": 16.859136, "reference_count": 0, "expected_generation_canvas": [6272, 2688], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.5294851989795764, "min_s": 1.5220907600596547, "max_s": 1.5378590029431507, "samples_s": [1.5220907600596547, 1.5378590029431507, 1.5285058339359239], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb300-farm-to-table-6272x2688-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.5378590029431507, "original_png_sha256": "ec94d7edc0fba8d6612fa50fec4aa38404db430d607ac166a97b27e9a9db910b", "preview_max_dimension": 512},
    {"id": "podcast-edit-6272x2688", "case": "podcast-edit", "tier_mp": 16, "aspect": "21:9", "width": 6272, "height": 2688, "actual_mp": 16.859136, "reference_count": 1, "expected_generation_canvas": [6272, 2688], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.7958063220139593, "min_s": 1.7894617549609393, "max_s": 1.8019300770247355, "samples_s": [1.796027134056203, 1.7894617549609393, 1.8019300770247355], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb300-podcast-edit-6272x2688-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.7894617549609393, "original_png_sha256": "c182eaf0bf30d11cd993ccde1ad8b19fb8d25b7c8bd4927b1953068faa084a8f", "preview_max_dimension": 512},
    {"id": "farm-to-table-4480x4480", "case": "farm-to-table", "tier_mp": 20, "aspect": "1:1", "width": 4480, "height": 4480, "actual_mp": 20.0704, "reference_count": 0, "expected_generation_canvas": [4480, 4480], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.8263401669682935, "min_s": 1.824568402953446, "max_s": 1.8275944669730961, "samples_s": [1.8268576309783384, 1.824568402953446, 1.8275944669730961], "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "preview": "cases/gb300-farm-to-table-4480x4480-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.824568402953446, "original_png_sha256": "bd48f008d02a193a86e33aadfc7318d8ff6fe12db8cfc936f2d2ae547f3839ab", "preview_max_dimension": 512},
    {"id": "podcast-edit-4480x4480", "case": "podcast-edit", "tier_mp": 20, "aspect": "1:1", "width": 4480, "height": 4480, "actual_mp": 20.0704, "reference_count": 1, "expected_generation_canvas": [4480, 4480], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.190224294977573, "min_s": 2.1513220759807155, "max_s": 2.23311587900389, "samples_s": [2.23311587900389, 2.186234929948114, 2.1513220759807155], "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "preview": "cases/gb300-podcast-edit-4480x4480-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.186234929948114, "original_png_sha256": "f54efff48eb188c314501c35036fb1c4bafc2336a60cef12b5f600eb0c40ea56", "preview_max_dimension": 512},
    {"id": "creative-poster-3552x4736", "case": "creative-poster", "tier_mp": 16, "aspect": "3:4", "width": 3552, "height": 4736, "actual_mp": 16.822272, "reference_count": 0, "expected_generation_canvas": [3552, 4736], "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.147471411541725, "min_s": 2.062371393898502, "max_s": 2.3130932019557804, "samples_s": [2.3130932019557804, 2.066949638770893, 2.062371393898502], "preview": "cases/gb200-creative-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.066949638770893, "original_png_sha256": "3d6e2decddbfdead3fa3913271ba505413116c78ca58aa8602bbd5b8bfb9b9a7", "preview_max_dimension": 1600, "prompt_sha256": "e1215a442c3ddf5979529f8eb9967eb3746d066767a667d1d1f61dc3f1d778cb", "reference_sha256": [], "review_scope": "Composition and all four requested lines reviewed in readable diagnostic derivatives of SHA-verified full originals; H200 previously reviewed with full-original OCR. No full-resolution pixel-equivalence claim.", "source_job": "3192552"},
    {"id": "creative-poster-3552x4736", "case": "creative-poster", "tier_mp": 16, "aspect": "3:4", "width": 3552, "height": 4736, "actual_mp": 16.822272, "reference_count": 0, "expected_generation_canvas": [3552, 4736], "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.5206690143483381, "min_s": 1.4971705550560728, "max_s": 1.533529864042066, "samples_s": [1.4971705550560728, 1.533529864042066, 1.5313066239468753], "preview": "cases/gb300-creative-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.533529864042066, "original_png_sha256": "3a6795ec948e22d4e8215ea03762b9b137ad1c843d1e65088313300e7e1827d4", "preview_max_dimension": 1600, "prompt_sha256": "e1215a442c3ddf5979529f8eb9967eb3746d066767a667d1d1f61dc3f1d778cb", "reference_sha256": [], "review_scope": "Composition and all four requested lines reviewed in readable diagnostic derivatives of SHA-verified full originals; H200 previously reviewed with full-original OCR. No full-resolution pixel-equivalence claim.", "source_job": "3192553"},
    {"id": "creative-poster-3552x4736", "case": "creative-poster", "tier_mp": 16, "aspect": "3:4", "width": 3552, "height": 4736, "actual_mp": 16.822272, "reference_count": 0, "expected_generation_canvas": [3552, 4736], "hardware": "Vera Rubin", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.201945405647469, "min_s": 1.1811313889920712, "max_s": 1.220952449948527, "samples_s": [1.2037523780018091, 1.1811313889920712, 1.220952449948527], "preview": "cases/rubin-creative-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.1811313889920712, "original_png_sha256": "4ffccb45cfbf33c5b50a7026e86a025a13b7f0500914b7a8b3f2480ceb59039a", "preview_max_dimension": 1600, "prompt_sha256": "e1215a442c3ddf5979529f8eb9967eb3746d066767a667d1d1f61dc3f1d778cb", "reference_sha256": [], "review_scope": "Composition and all four requested lines reviewed in readable diagnostic derivatives of SHA-verified full originals; H200 previously reviewed with full-original OCR. No full-resolution pixel-equivalence claim.", "source_job": "3192554"},
    {"id": "creative-poster-3552x4736", "case": "creative-poster", "tier_mp": 16, "aspect": "3:4", "width": 3552, "height": 4736, "actual_mp": 16.822272, "reference_count": 0, "expected_generation_canvas": [3552, 4736], "hardware": "H200", "gpus": 4, "topology": "SP4", "precision": "BF16", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 4.045440570001422, "min_s": 4.024376001001656, "max_s": 4.0764426160021685, "samples_s": [4.035503093000443, 4.0764426160021685, 4.024376001001656], "preview": "cases/h200-creative-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 4.0764426160021685, "original_png_sha256": "7fe8ba42213ba353a5670a1859c3291899b948f946875462ab57bb27dddff876", "preview_max_dimension": 1600, "prompt_sha256": "e1215a442c3ddf5979529f8eb9967eb3746d066767a667d1d1f61dc3f1d778cb", "reference_sha256": [], "review_scope": "Composition and all four requested lines reviewed in readable diagnostic derivatives of SHA-verified full originals; H200 previously reviewed with full-original OCR. No full-resolution pixel-equivalence claim.", "source_job": "3193579"},
    {"id": "game-third-person-adventure-2752x1536", "case": "game-third-person-adventure", "width": 2752, "height": 1536, "tier_mp": 4, "actual_mp": 4.227072, "aspect": "16:9", "comparison_tier": "h3-native-4mp", "reference_count": 0, "expected_generation_canvas": [2752, 1536], "output_resized_after_generation": false, "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.7926564429847834, "min_s": 0.7867260199855082, "max_s": 0.8000406799837947, "samples_s": [0.8000406799837947, 0.7912026289850473, 0.7867260199855082], "preview": "cases/gb200-game-third-person-adventure-2752x1536-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.7912026289850473, "original_png_sha256": "19f18f45730bd211fe6c37054cdc52bb4a5534c2821fa84781581f74aa75c50c", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All18measured images visually inspected in960pixel-wide derivatives of SHA-verified originals; adventure images reviewed for single-character layout, route continuity, environment and lack of HUD. Fine glyphs checked separately by OCR, not auto-approved.", "source_job": "3194813"},
    {"id": "game-third-person-adventure-5472x3072", "case": "game-third-person-adventure", "width": 5472, "height": 3072, "tier_mp": 16, "actual_mp": 16.809984, "aspect": "16:9", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [5472, 3072], "output_resized_after_generation": false, "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.071284152994243, "min_s": 2.068496683961712, "max_s": 2.073609129001852, "samples_s": [2.073609129001852, 2.068496683961712, 2.0717466460191645], "preview": "cases/gb200-game-third-person-adventure-5472x3072-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.068496683961712, "original_png_sha256": "21c6567c2bf24a829c7ddbe66c2f9054647563708b824036557799da5476550b", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All18measured images visually inspected in960pixel-wide derivatives of SHA-verified originals; adventure images reviewed for single-character layout, route continuity, environment and lack of HUD. Fine glyphs checked separately by OCR, not auto-approved.", "source_job": "3194813"},
    {"id": "game-third-person-adventure-2752x1536", "case": "game-third-person-adventure", "width": 2752, "height": 1536, "tier_mp": 4, "actual_mp": 4.227072, "aspect": "16:9", "comparison_tier": "h3-native-4mp", "reference_count": 0, "expected_generation_canvas": [2752, 1536], "output_resized_after_generation": false, "hardware": "Vera Rubin", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.6315647133548433, "min_s": 0.4614548240788281, "max_s": 0.7386234300211072, "samples_s": [0.6946158859645948, 0.7386234300211072, 0.4614548240788281], "preview": "cases/rubin-game-third-person-adventure-2752x1536-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.7386234300211072, "original_png_sha256": "75cedb7ffbb14dc45f3e7436d02cff1f659bd0c22e4229f8a5e3fdb964c2f0de", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All18measured images visually inspected in960pixel-wide derivatives of SHA-verified originals; adventure images reviewed for single-character layout, route continuity, environment and lack of HUD. Fine glyphs checked separately by OCR, not auto-approved.", "source_job": "3194812"},
    {"id": "game-third-person-adventure-5472x3072", "case": "game-third-person-adventure", "width": 5472, "height": 3072, "tier_mp": 16, "actual_mp": 16.809984, "aspect": "16:9", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [5472, 3072], "output_resized_after_generation": false, "hardware": "Vera Rubin", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.9517564026173204, "min_s": 0.9496303149498999, "max_s": 0.9532176759094, "samples_s": [0.9532176759094, 0.9496303149498999, 0.9524212169926614], "preview": "cases/rubin-game-third-person-adventure-5472x3072-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.9496303149498999, "original_png_sha256": "87c710aef66e26286d8dea25b2e2eee56bd5ba4cbd1514a36671f85aaa9f2d6a", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All18measured images visually inspected in960pixel-wide derivatives of SHA-verified originals; adventure images reviewed for single-character layout, route continuity, environment and lack of HUD. Fine glyphs checked separately by OCR, not auto-approved.", "source_job": "3194812"},
    {"id": "game-third-person-adventure-2752x1536", "case": "game-third-person-adventure", "width": 2752, "height": 1536, "tier_mp": 4, "actual_mp": 4.227072, "aspect": "16:9", "comparison_tier": "h3-native-4mp", "reference_count": 0, "expected_generation_canvas": [2752, 1536], "output_resized_after_generation": false, "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "offload_config": null, "eager": false, "memory_placement": "Resident weights", "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.7927304819992665, "min_s": 0.7905948129991884, "max_s": 0.7967855310016603, "samples_s": [0.7905948129991884, 0.790811101996951, 0.7967855310016603], "preview": "cases/gb300-game-third-person-adventure-2752x1536-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.790811101996951, "original_png_sha256": "3908d8c674767cbf08711d5dfdffe0a1e1a2fabcc1a4555f124797bc7da9ff1e", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All six adventure outputs (two native sizes x three seeds) visually inspected through contact sheets derived from SHA-verified full PNGs. One explorer, a continuous bridge route and coherent observatory scene are present. Character scale often exceeds the requested one-fifth of frame height; composition showcase only, not perfect instruction compliance or pixel equivalence.", "source_job": "3194814"},
    {"id": "game-third-person-adventure-5472x3072", "case": "game-third-person-adventure", "width": 5472, "height": 3072, "tier_mp": 16, "actual_mp": 16.809984, "aspect": "16:9", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [5472, 3072], "output_resized_after_generation": false, "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "offload_config": null, "eager": false, "memory_placement": "Resident weights", "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.522102692334253, "min_s": 1.492963051001425, "max_s": 1.5683655960019678, "samples_s": [1.5049794299993664, 1.492963051001425, 1.5683655960019678], "preview": "cases/gb300-game-third-person-adventure-5472x3072-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.492963051001425, "original_png_sha256": "eddc4b1ed8715dceac9369a699f61320ba12854ebb1f95fd1eac107d125b31c1", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All six adventure outputs (two native sizes x three seeds) visually inspected through contact sheets derived from SHA-verified full PNGs. One explorer, a continuous bridge route and coherent observatory scene are present. Character scale often exceeds the requested one-fifth of frame height; composition showcase only, not perfect instruction compliance or pixel equivalence.", "source_job": "3194814"},
    {"id": "game-third-person-adventure-2752x1536", "case": "game-third-person-adventure", "width": 2752, "height": 1536, "tier_mp": 4, "actual_mp": 4.227072, "aspect": "16:9", "comparison_tier": "h3-native-4mp", "reference_count": 0, "expected_generation_canvas": [2752, 1536], "output_resized_after_generation": false, "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "n": 3, "seeds": [0, 42, 1234], "mean_s": 26.62386449961923, "min_s": 26.508585372008383, "max_s": 26.818834263831377, "samples_s": [26.508585372008383, 26.54417386301793, 26.818834263831377], "preview": "cases/rtx5090-game-third-person-adventure-2752x1536-seed42.webp", "gallery_seed": 42, "gallery_request_s": 26.54417386301793, "original_png_sha256": "211a1df41372df1a0ad7bcb5aa3d23d572227174b68f0b841fd62794e7192d6c", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All six adventure outputs (two native sizes x three seeds) visually inspected through contact sheets derived from SHA-verified full PNGs. One explorer, a continuous bridge route and coherent observatory scene are present. Character scale often exceeds the requested one-fifth of frame height; composition showcase only, not perfect instruction compliance or pixel equivalence.", "source_job": "3195008"},
    {"id": "game-third-person-adventure-5472x3072", "case": "game-third-person-adventure", "width": 5472, "height": 3072, "tier_mp": 16, "actual_mp": 16.809984, "aspect": "16:9", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [5472, 3072], "output_resized_after_generation": false, "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "n": 3, "seeds": [0, 42, 1234], "mean_s": 59.76960367701637, "min_s": 59.52285530604422, "max_s": 60.25591683597304, "samples_s": [60.25591683597304, 59.52285530604422, 59.53003888903186], "preview": "cases/rtx5090-game-third-person-adventure-5472x3072-seed42.webp", "gallery_seed": 42, "gallery_request_s": 59.52285530604422, "original_png_sha256": "ca3e1b22b00ff2d1b2cdf6684467ff65e3ca1f0d83ea6a5739c628fdda2f6878", "preview_max_dimension": 1600, "prompt_sha256": "f94a6ace0d224c53cc882c2097a1db0bcfe353817d46e5638a0636b9101b4016", "reference_sha256": [], "review_scope": "All six adventure outputs (two native sizes x three seeds) visually inspected through contact sheets derived from SHA-verified full PNGs. One explorer, a continuous bridge route and coherent observatory scene are present. Character scale often exceeds the requested one-fifth of frame height; composition showcase only, not perfect instruction compliance or pixel equivalence.", "source_job": "3195008"},
    {"id": "podcast-edit-4096x4096", "case": "podcast-edit", "tier_mp": 16, "aspect": "1:1", "width": 4096, "height": 4096, "actual_mp": 16.777216, "reference_count": 1, "expected_generation_canvas": [4096, 4096], "measured_seeds": [0, 42, 1234], "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "runtime_environment": {"PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:True"}, "n": 3, "seeds": [0, 42, 1234], "mean_s": 73.55412281506385, "min_s": 73.3633407780435, "max_s": 73.70191836706363, "samples_s": [73.3633407780435, 73.70191836706363, 73.59710930008441], "preview": "cases/rtx5090-podcast-edit-4096x4096-seed42.webp", "gallery_seed": 42, "gallery_request_s": 73.70191836706363, "original_png_sha256": "1005cb6cd65c9042ac152c241b0c8687c91ecfbcb9704b7cbd4f837e36f0a6e3", "preview_max_dimension": 1600, "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "review_scope": "All15 measured originals SHA256-verified and inspected through five three-seed contact sheets at up to600px per image; full-resolution glyph/texture equivalence not certified.", "source_job": "3196121"},
    {"id": "farm-to-table-6272x2688", "case": "farm-to-table", "tier_mp": 16, "aspect": "21:9", "width": 6272, "height": 2688, "actual_mp": 16.859136, "reference_count": 0, "expected_generation_canvas": [6272, 2688], "measured_seeds": [0, 42, 1234], "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "runtime_environment": {"PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:True"}, "n": 3, "seeds": [0, 42, 1234], "mean_s": 60.84476963663474, "min_s": 60.81899914192036, "max_s": 60.891872975975275, "samples_s": [60.82343679200858, 60.81899914192036, 60.891872975975275], "preview": "cases/rtx5090-farm-to-table-6272x2688-seed42.webp", "gallery_seed": 42, "gallery_request_s": 60.81899914192036, "original_png_sha256": "84928cfd27c5e23ad040baaf95dd44cbd96b206b2452411cbd5caffeb4d6bdef", "preview_max_dimension": 1600, "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "review_scope": "All15 measured originals SHA256-verified and inspected through five three-seed contact sheets at up to600px per image; full-resolution glyph/texture equivalence not certified.", "source_job": "3196121"},
    {"id": "podcast-edit-6272x2688", "case": "podcast-edit", "tier_mp": 16, "aspect": "21:9", "width": 6272, "height": 2688, "actual_mp": 16.859136, "reference_count": 1, "expected_generation_canvas": [6272, 2688], "measured_seeds": [0, 42, 1234], "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "runtime_environment": {"PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:True"}, "n": 3, "seeds": [0, 42, 1234], "mean_s": 75.07055975333788, "min_s": 74.83948305388913, "max_s": 75.48012880398892, "samples_s": [74.83948305388913, 74.89206740213558, 75.48012880398892], "preview": "cases/rtx5090-podcast-edit-6272x2688-seed42.webp", "gallery_seed": 42, "gallery_request_s": 74.89206740213558, "original_png_sha256": "48cdeebce7d13044c9c56f8d695f16698151594e2136b4f0150b0cd9cf6f344e", "preview_max_dimension": 1600, "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "review_scope": "All15 measured originals SHA256-verified and inspected through five three-seed contact sheets at up to600px per image; full-resolution glyph/texture equivalence not certified.", "source_job": "3196121"},
    {"id": "farm-to-table-4480x4480", "case": "farm-to-table", "tier_mp": 20, "aspect": "1:1", "width": 4480, "height": 4480, "actual_mp": 20.0704, "reference_count": 0, "expected_generation_canvas": [4480, 4480], "measured_seeds": [0, 42, 1234], "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "runtime_environment": {"PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:True"}, "n": 3, "seeds": [0, 42, 1234], "mean_s": 81.92297805294704, "min_s": 81.87228462588973, "max_s": 81.99036469589919, "samples_s": [81.90628483705223, 81.87228462588973, 81.99036469589919], "preview": "cases/rtx5090-farm-to-table-4480x4480-seed42.webp", "gallery_seed": 42, "gallery_request_s": 81.87228462588973, "original_png_sha256": "f8b4be12fcb28df62095634c7352e94a3e0beca931d2bb6f518635262df84ab4", "preview_max_dimension": 1600, "prompt_sha256": "367c3aaf0f694072ce85e17d1a3754ba6352f350c4d7c4d0a88935ce09030483", "reference_sha256": [], "review_scope": "All15 measured originals SHA256-verified and inspected through five three-seed contact sheets at up to600px per image; full-resolution glyph/texture equivalence not certified.", "source_job": "3196121"},
    {"id": "podcast-edit-4480x4480", "case": "podcast-edit", "tier_mp": 20, "aspect": "1:1", "width": 4480, "height": 4480, "actual_mp": 20.0704, "reference_count": 1, "expected_generation_canvas": [4480, 4480], "measured_seeds": [0, 42, 1234], "hardware": "RTX 5090", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["dit", "text_encoder"], "pin_memory": false}, "eager": true, "memory_placement": "DiT + text encoder: CPU layerwise offload · eager execution", "runtime_environment": {"PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:True"}, "n": 3, "seeds": [0, 42, 1234], "mean_s": 90.02282962924801, "min_s": 89.93337424797937, "max_s": 90.08469781489111, "samples_s": [89.93337424797937, 90.05041682487354, 90.08469781489111], "preview": "cases/rtx5090-podcast-edit-4480x4480-seed42.webp", "gallery_seed": 42, "gallery_request_s": 90.05041682487354, "original_png_sha256": "a37c2810faf10c58bcf369b38707dd0172ba8202b1715af2bdda0b65ce6f5b6a", "preview_max_dimension": 1600, "prompt_sha256": "0a997eafd7ed76f168feeceaf33914ed3f5abf3feaef1e62399ed536ab694c67", "reference_sha256": ["e3ef31ce2bf5f9a6f45c13f65b4728a87cc767cbcc8f0313aa1a4c8014dae85d"], "review_scope": "All15 measured originals SHA256-verified and inspected through five three-seed contact sheets at up to600px per image; full-resolution glyph/texture equivalence not certified.", "source_job": "3196121"},
    {"id": "creative-poster-3552x4736", "case": "creative-poster", "tier_mp": 16, "aspect": "3:4", "width": 3552, "height": 4736, "actual_mp": 16.822272, "reference_count": 0, "expected_generation_canvas": [3552, 4736], "hardware": "RTX 6000D", "gpus": 1, "topology": "SP1", "precision": "MXFP8 DiT", "offload": true, "offload_config": {"mode": "layer", "components": ["text_encoder"], "pin_memory": false}, "eager": false, "attention_backend": "CUDNN_ATTN", "memory_placement": "DiT resident · text-encoder CPU layerwise offload · VAE CUDA Graph", "n": 3, "seeds": [0, 42, 1234], "mean_s": 42.31217490726461, "min_s": 42.28677388490178, "max_s": 42.33760006399825, "samples_s": [42.28677388490178, 42.33760006399825, 42.3121507728938], "preview": "cases/rtx6000d-creative-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 42.33760006399825, "original_png_sha256": "50511514655c7d6cb48d111cb812d852ca273d9f9b3e29cd517e50dc6a80ce7e", "preview_max_dimension": 1600, "prompt_sha256": "e1215a442c3ddf5979529f8eb9967eb3746d066767a667d1d1f61dc3f1d778cb", "reference_sha256": [], "review_scope": "All three seeds reviewed for composition and readable main poster copy. Not an exact-glyph or no-incidental-lettering compliance score.", "source_job": "3193583"},
    {"id": "social-chinese-night-market-poster-3552x4736", "case": "social-chinese-night-market-poster", "width": 3552, "height": 4736, "tier_mp": 16, "actual_mp": 16.822272, "aspect": "3:4", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [3552, 4736], "output_resized_after_generation": false, "hardware": "GB200", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "offload_config": null, "eager": false, "attention_backend": "TRTLLM_ATTN", "memory_placement": "Resident weights", "n": 3, "seeds": [0, 42, 1234], "mean_s": 2.057238679321017, "min_s": 2.0538855149643496, "max_s": 2.0592651949846186, "samples_s": [2.0538855149643496, 2.0592651949846186, 2.058565328014083], "preview": "cases/gb200-social-chinese-night-market-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 2.0592651949846186, "original_png_sha256": "02c83119371e69f4d0ecd29d34ceb153372c54c20a49afd27d1b75e211155a45", "preview_max_dimension": 1600, "prompt_sha256": "733ddd0537e34b849ea5356c20cb984208109f646ac5f9be17747ac12d85fa5c", "reference_sha256": [], "review_scope": "All three seeds reviewed for composition and readable main poster copy. Not an exact-glyph or no-incidental-lettering compliance score.", "source_job": "3195416"},
    {"id": "social-chinese-night-market-poster-3552x4736", "case": "social-chinese-night-market-poster", "width": 3552, "height": 4736, "tier_mp": 16, "actual_mp": 16.822272, "aspect": "3:4", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [3552, 4736], "output_resized_after_generation": false, "hardware": "GB300", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "offload_config": null, "eager": false, "attention_backend": "TRTLLM_ATTN", "memory_placement": "Resident weights", "n": 3, "seeds": [0, 42, 1234], "mean_s": 1.5246144269985962, "min_s": 1.5135640259977663, "max_s": 1.5371499979992223, "samples_s": [1.5231292569988, 1.5371499979992223, 1.5135640259977663], "preview": "cases/gb300-social-chinese-night-market-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 1.5371499979992223, "original_png_sha256": "6f9cc95cf0506055e6bc891efc252c06799003b9d0c85b75e0f2389e2b2013f7", "preview_max_dimension": 1600, "prompt_sha256": "733ddd0537e34b849ea5356c20cb984208109f646ac5f9be17747ac12d85fa5c", "reference_sha256": [], "review_scope": "All three seeds reviewed for composition and readable main poster copy. Not an exact-glyph or no-incidental-lettering compliance score.", "source_job": "3195417"},
    {"id": "social-chinese-night-market-poster-3552x4736", "case": "social-chinese-night-market-poster", "width": 3552, "height": 4736, "tier_mp": 16, "actual_mp": 16.822272, "aspect": "3:4", "comparison_tier": "h3-native-16mp", "reference_count": 0, "expected_generation_canvas": [3552, 4736], "output_resized_after_generation": false, "hardware": "Vera Rubin", "gpus": 4, "topology": "SP4", "precision": "MXFP8 DiT", "offload": false, "offload_config": null, "eager": false, "attention_backend": "TRTLLM_ATTN", "memory_placement": "Resident weights", "n": 3, "seeds": [0, 42, 1234], "mean_s": 0.9363556865913173, "min_s": 0.9216252039186656, "max_s": 0.9618950799340382, "samples_s": [0.9255467759212479, 0.9216252039186656, 0.9618950799340382], "preview": "cases/rubin-social-chinese-night-market-poster-3552x4736-seed42.webp", "gallery_seed": 42, "gallery_request_s": 0.9216252039186656, "original_png_sha256": "a5d413e9598e33f9f5b16420c8f948bad4c19e0ddd271499388d9b5aa16c81b3", "preview_max_dimension": 1600, "prompt_sha256": "733ddd0537e34b849ea5356c20cb984208109f646ac5f9be17747ac12d85fa5c", "reference_sha256": [], "review_scope": "All three seeds reviewed for composition and readable main poster copy. Not an exact-glyph or no-incidental-lettering compliance score.", "source_job": "3195415"}
  ],
  "source_records": [
    {"hardware": "GB200", "job_id": "3192272", "records_sha256": "f36ac82c0879382615646980f095958b241f30d8b20333fb02583623b6d70fd1", "state_sha256": "89b63b5534b1b37efaceca3bfcb2ec77a84a20c95d1ba8812beaa7e7c79c9766"},
    {"hardware": "GB300", "job_id": "3192273", "records_sha256": "60e8b415f00fbf2869f0ef6533bfe55f9460f0369324aae3067d7778d9b37307", "state_sha256": "c2b0f1cbccef57942383ad1dd9a703dec16da7d8b2a66b6dc1950b02bbccd406"},
    {"hardware": "gb200", "job_id": "3192552", "records_sha256": "72231bb9b7d6c03745a6ab4d291ae5529a4ed44c41faff51faef7697d5408163", "corpus_sha256": "2e2a6727e770d5f96605a07140b3572bf13a390d852bbcfec57203435124cc06", "review_sha256": "ddb4c9bc58db4eccf95314a849d2981a3981c0eb611e1b036e692cb2a15f83cd"},
    {"hardware": "gb300", "job_id": "3192553", "records_sha256": "ac75565680ab6bd3d291d00dc0eaac21c2c9dd2e398e35c05990fec9c1dbfa92", "corpus_sha256": "2e2a6727e770d5f96605a07140b3572bf13a390d852bbcfec57203435124cc06", "review_sha256": "ddb4c9bc58db4eccf95314a849d2981a3981c0eb611e1b036e692cb2a15f83cd"},
    {"hardware": "rubin", "job_id": "3192554", "records_sha256": "cb6c6ca6c485c2f7f61beb73c5c714f39ee567a665e9fe857a2674e558ac3406", "corpus_sha256": "2e2a6727e770d5f96605a07140b3572bf13a390d852bbcfec57203435124cc06", "review_sha256": "ddb4c9bc58db4eccf95314a849d2981a3981c0eb611e1b036e692cb2a15f83cd"},
    {"hardware": "h200", "job_id": "3193579", "records_sha256": "98f7a1446460a276c21cc5fbccf7c62fa06d2709897768a69711da77a0e65453", "corpus_sha256": "2e2a6727e770d5f96605a07140b3572bf13a390d852bbcfec57203435124cc06", "review_sha256": "ddb4c9bc58db4eccf95314a849d2981a3981c0eb611e1b036e692cb2a15f83cd"},
    {"hardware": "gb200", "job_id": "3194813", "records_sha256": "bf0e7828164c270cad64ad5d0773c2160eaa3dda3b8ca9d0826e356ef885a0a9", "corpus_sha256": "76d3f9052cd50d95f587d7b1adfce513f3c09afc391ef545d0fa0abea654a23b", "review_sha256": "059bc5cebe001dbdb50831c5411feb3e36c088d0de735f4e5714a61816ba82f1"},
    {"hardware": "rubin", "job_id": "3194812", "records_sha256": "f347a2a70fe5ff4d80dc2db8f0a927acdda36e7ae019a0faf63572b76084f7c6", "corpus_sha256": "76d3f9052cd50d95f587d7b1adfce513f3c09afc391ef545d0fa0abea654a23b", "review_sha256": "059bc5cebe001dbdb50831c5411feb3e36c088d0de735f4e5714a61816ba82f1"},
    {"hardware": "gb300", "job_id": "3194814", "records_sha256": "bb3a4ea4cc6f53f2ed10e9b33aa7bc9081d2f122b7230ca67740de64a2e5da92", "corpus_sha256": "76d3f9052cd50d95f587d7b1adfce513f3c09afc391ef545d0fa0abea654a23b", "review_sha256": "3941afb32268ef118cf6faadf298b4145d51f14c654e4a914af3986b14f70fef"},
    {"hardware": "rtx5090", "job_id": "3195008", "records_sha256": "89498cf4bf97b7a8f72accbac311690ce63e80e21311913b2db682cb0394f1cd", "corpus_sha256": "76d3f9052cd50d95f587d7b1adfce513f3c09afc391ef545d0fa0abea654a23b", "review_sha256": "5af415cbb51558a274fa2ece24ac17d2adba32c4e2062de306467fef1eb77ff9"},
    {"hardware": "rtx5090", "job_id": "3196121", "records_sha256": "bbd50cb1e8da200bb3afdfb62eac9bba7e13e20db9167421a4be014aafcf079b", "corpus_sha256": "568b5ccc6c6cec4d0677fb6f37511881f22eb66ad8cafdcfc15541d918417739", "review_sha256": "8887c5b88d7defffcf3758b48fab484df326c3049e0d8c0b79ce45d26be0baac"},
    {"hardware": "rtx6000d", "job_id": "3193583", "records_sha256": "99647fd9d9df4eb2d566194bed2e5a1bd24a802f45355102fd6f02e32df9b05c", "corpus_sha256": "2e2a6727e770d5f96605a07140b3572bf13a390d852bbcfec57203435124cc06", "review_sha256": "2620e3bd8735aa075f28186ba5bc1187ec1395c4f23d97d6361c22973eef3a68"},
    {"hardware": "gb200", "job_id": "3195416", "records_sha256": "0e3b01d67b4d69684f4d86b2b4d685755cae696c603a93367e6152039a639341", "corpus_sha256": "d0bce14ffad58d8b5eaeaa484b9da87e740acafebefe9d50620b4371f7477a9c", "review_sha256": "08e53cdd1b4f59f44a47940845b29944ea9b3908da763e0a0a5d770d6949e349"},
    {"hardware": "gb300", "job_id": "3195417", "records_sha256": "3d9738b5f59a60b05831c6893aeee2b9f49eaab2040d0285a5983f31692de416", "corpus_sha256": "d0bce14ffad58d8b5eaeaa484b9da87e740acafebefe9d50620b4371f7477a9c", "review_sha256": "7c75ebd968ce3f4e602f53c2abc71cc48daa293be1bd8e29959d3a945d2c43da"},
    {"hardware": "rubin", "job_id": "3195415", "records_sha256": "60c84f923342630d2f3a38eb007e5b1e666719b56a7bb4340fd4b76d3c1e9633", "corpus_sha256": "d0bce14ffad58d8b5eaeaa484b9da87e740acafebefe9d50620b4371f7477a9c", "review_sha256": "30994fa554bcef3b27775bb7af1de415a5686a797e2cfac47c11bad349fbae11"}
  ],
  "title_map": {"farm-to-table": "Food photography · text-to-image", "podcast-edit": "Podcast edit · one reference", "creative-poster": "Workshop poster · text and layout", "game-third-person-adventure": "Adventure game · environment concept", "social-chinese-night-market-poster": "Chinese event poster · text-to-image"},
  "configuration_note": "Server panels use four GPUs/SP4 and resident weights. RTX5090 uses one GPU/SP1, DiT+encoder CPU layerwise offload and eager VAE. RTX6000D uses one GPU/SP1, encoder-only CPU layerwise offload and VAE CUDA Graph. H200 poster uses BF16; other panels use MXFP8 DiT linears."
}