Datasets:

laion
/

Vivarium-Greenscreen-Characters-FLUX-9B

@@ -18,207 +18,16 @@ size_categories:
 pretty_name: Vivarium Greenscreen Characters — FLUX 9B
 configs:
 - config_name: default
-  data_files:
-  - split: train
-    path:
-    - data/*.tar
-- config_name: base
   data_files:
   - split: train
     path: data/*.tar
-dataset_info:
-- config_name: default
-  features: &id001
-  - name: png
-    dtype: image
-  - name: json
-    struct:
-    - name: personality_id
-      dtype: string
-    - name: character_id
-      dtype: string
-    - name: age_group
-      dtype: string
-    - name: age_years
-      dtype: int64
-    - name: age_months
-      dtype: int64
-    - name: gender
-      dtype: string
-    - name: ethnicity
-      dtype: string
-    - name: ethnicity_prompt_label
-      dtype: string
-    - name: skin_tone
-      dtype: string
-    - name: hair
-      dtype: string
-    - name: build
-      dtype: string
-    - name: outfit_id
-      dtype: string
-    - name: outfit_style
-      dtype: string
-    - name: outfit
-      dtype: string
-    - name: seed
-      dtype: int64
-    - name: default_emotion
-      dtype: string
-    - name: description
-      dtype: string
-    - name: id
-      dtype: string
-    - name: emotion
-      dtype: string
-    - name: prompt
-      dtype: string
-    - name: negative_prompt
-      dtype: string
-    - name: reference_id
-      dtype: string
-    - name: schema_version
-      dtype: string
-    - name: generated_utc
-      dtype: string
-    - name: image_sha256
-      dtype: string
-    - name: reference_image_sha256
-      dtype: string
-    - name: reference_resize
-      struct:
-      - name: width
-        dtype: int64
-      - name: height
-        dtype: int64
-      - name: resample
-        dtype: string
-    - name: inference
-      struct:
-      - name: model
-        dtype: string
-      - name: revision
-        dtype: string
-      - name: lora
-        dtype: string
-      - name: lora_revision
-        dtype: string
-      - name: lora_subfolder
-        dtype: string
-      - name: lora_sha256
-        dtype: string
-      - name: lora_rank
-        dtype: int64
-      - name: lora_alpha
-        dtype: int64
-      - name: lora_training_step
-        dtype: int64
-      - name: lora_scale
-        dtype: float64
-      - name: steps
-        dtype: int64
-      - name: guidance_scale
-        dtype: float64
-      - name: seed
-        dtype: int64
-      - name: width
-        dtype: int64
-      - name: height
-        dtype: int64
-      - name: dtype
-        dtype: string
-      - name: quantization
-        dtype: bool
-      - name: distillation
-        dtype: bool
-      - name: max_sequence_length
-        dtype: int64
-      - name: cfg_mode
-        dtype: string
-      - name: lora_fused
-        dtype: bool
-      - name: qkv_fused
-        dtype: bool
-      - name: compile_mode
-        dtype: string
-      - name: negative_embedding_cached
-        dtype: bool
-      - name: positive_embedding_cached
-        dtype: bool
-    - name: runtime
-      struct:
-      - name: profile
-        dtype: string
-      - name: gpu
-        dtype: string
-      - name: physical_gpu
-        dtype: int64
-      - name: batch_size
-        dtype: int64
-      - name: generation_seconds
-        dtype: float64
-      - name: positive_text_encoding_seconds
-        dtype: float64
-      - name: torch
-        dtype: string
-      - name: cuda
-        dtype: string
-      - name: includes_compile_warmup
-        dtype: bool
-      - name: gpu_shared_with_backgrounds
-        dtype: bool
-      - name: model_cpu_offload
-        dtype: bool
-      - name: sharing_note
-        dtype: string
-    - name: storage
-      struct:
-      - name: shard
-        dtype: string
-      - name: image_member
-        dtype: string
-      - name: json_member
-        dtype: string
-      - name: prompt_member
-        dtype: string
-      - name: encoding
-        dtype: string
-    - name: record_type
-      dtype: string
-    - name: production_phase
-      dtype: string
-    - name: lora_scale
-      dtype: float64
-    - name: special_class
-      dtype: string
-    - name: special_variant
-      dtype: string
-    - name: composition
-      dtype: string
-  - name: txt
-    dtype: string
-  - name: __key__
-    dtype: string
-  - name: __url__
-    dtype: string
-- config_name: base
-  features: *id001
 ---
-# Vivarium warm-painted greenscreen people and special characters
-**Combined uploaded snapshot: 3,220/7,500 images.** The collection comprises an original 500-person series, an extension of 240 adult people with the same ten emotions, and 100 fantasy / science-fiction specials with one neutral portrait each. All images are 832×1,248, in the selected Ghibli-inspired warm-painted style, with solid greenscreen backgrounds. The original collection has 3,220/5,000 images uploaded; the extension has 0/2,500.
-See the detailed [extension allocation and 25-class special taxonomy](EXTENSIONS.md), including all 100 variants, exact prompt plans, CSVs, inference examples and measured progress. The base model is [FLUX.2-klein-base-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B); the [rank-64 character LoRA](https://huggingface.co/laion/FLUX.2-klein-base-9B-vivarium-loras) is linked with examples and inference instructions. Native generation uses **50 steps, real CFG 4 and BF16**.
-Named streaming configurations separate the original `base`, additional `humans_extra`, and `specials` families as their TARs become available. `default` reads all currently uploaded families. Demographic labels are intended prompt attributes; special creatures are not assigned human ethnicities. Use identity IDs for train/evaluation splitting.
-# Original 500-person collection
 **500 fictional people ×10 natural facial expressions =5,000 portrait images**, each832×1,248 pixels. The selected aesthetic is the **ghibli-warm-painted** direction: restrained facial proportions, delicate drawn lines, warm painted shading and a solid chroma-green backdrop. Generation uses the **undistilled9B base**, the **rank64 character LoRA**, **50 steps**, real **CFG4**, and **BF16**, with no quantization or distilled checkpoint.
-**Production snapshot: 296/500 complete people; 2960/5,000 images uploaded.** Pilot and production validation are recorded in the linked metadata. Counts describe the snapshot; incremental shard commits can be newer.
 The [base model](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B) and [character LoRA with examples and instructions](https://huggingface.co/laion/FLUX.2-klein-base-9B-vivarium-loras) are linked separately. The compatible [background dataset](https://huggingface.co/datasets/laion/Anim-E-Ghibli-Backgrounds-FLUX-9B) contains wide warm-painted environments for these foreground characters.
@@ -321,7 +130,7 @@ image, metadata, prompt = sample["png"], sample["json"], sample["txt"]
 print(metadata["personality_id"], metadata["emotion"], image.size)
 ```
-The `base` configuration selects only `data/*.tar`; the default also includes available extension TAR families. JSON indexes are excluded from training examples. An alternate standard-library TAR/HTTP reader avoids extracting image files:
 ```bash
 python tools/read_webdataset.py pilot-person-0253.tar \

 pretty_name: Vivarium Greenscreen Characters — FLUX 9B
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/*.tar
 ---
+# Vivarium warm-painted greenscreen characters
 **500 fictional people ×10 natural facial expressions =5,000 portrait images**, each832×1,248 pixels. The selected aesthetic is the **ghibli-warm-painted** direction: restrained facial proportions, delicate drawn lines, warm painted shading and a solid chroma-green backdrop. Generation uses the **undistilled9B base**, the **rank64 character LoRA**, **50 steps**, real **CFG4**, and **BF16**, with no quantization or distilled checkpoint.
+**Production snapshot: 400/500 complete people; 4000/5,000 images uploaded.** Pilot and production validation are recorded in the linked metadata. Counts describe the snapshot; incremental shard commits can be newer.
 The [base model](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B) and [character LoRA with examples and instructions](https://huggingface.co/laion/FLUX.2-klein-base-9B-vivarium-loras) are linked separately. The compatible [background dataset](https://huggingface.co/datasets/laion/Anim-E-Ghibli-Backgrounds-FLUX-9B) contains wide warm-painted environments for these foreground characters.
 print(metadata["personality_id"], metadata["emotion"], image.size)
 ```
+The card config selects only `data/*.tar` so index files are not mistaken for training examples. An alternate standard-library TAR/HTTP reader avoids extracting image files:
 ```bash
 python tools/read_webdataset.py pilot-person-0253.tar \

metadata/hub-streaming-validation.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
   "status": "passed",
-  "utc": "2026-10-06T19:40:17.090896+00:00",
   "repo": "laion/Vivarium-Greenscreen-Characters-FLUX-9B",
-  "revision": "607d93fd1406e46b6af2145cd5cdcf8d09318507",
   "anonymous": true,
   "datasets_version": "5.1.0",
   "samples_verified": 16,

 {
   "status": "passed",
+  "utc": "2026-10-06T20:59:48.010637+00:00",
   "repo": "laion/Vivarium-Greenscreen-Characters-FLUX-9B",
+  "revision": "d715a02cd77ab47bc4467ea9b1bab1353c3671b9",
   "anonymous": true,
   "datasets_version": "5.1.0",
   "samples_verified": 16,

metadata/inference-records.jsonl CHANGED Viewed

@@ -1,3 +1,3 @@
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-oid sha256:e590c1fe5fb27418d639dd49b54ff38faaefde88e5539a4995e7547c17c58a2d
-size 10730480

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+size 14514991

metadata/integrity-validation.json CHANGED Viewed

@@ -1,11 +1,11 @@
 {
   "status": "passed",
   "scope": "closed-shard snapshot",
-  "utc": "2026-10-06T19:41:35.604662+00:00",
-  "images_verified": 2940,
-  "persons_verified": 294,
-  "shards_verified": 153,
-  "bytes_verified": 3265679360,
   "checks": [
     "TAR SHA256 and byte size",
     "three adjacent unique members per sample",

 {
   "status": "passed",
   "scope": "closed-shard snapshot",
+  "utc": "2026-10-06T21:01:36.248326+00:00",
+  "images_verified": 3900,
+  "persons_verified": 390,
+  "shards_verified": 201,
+  "bytes_verified": 4331151360,
   "checks": [
     "TAR SHA256 and byte size",
     "three adjacent unique members per sample",

metadata/performance.json CHANGED Viewed

@@ -1,11 +1,11 @@
 {
   "hardware": "8 × NVIDIA A100-SXM4-80GB",
   "batch_size_per_gpu": 1,
-  "steady_samples": 2914,
-  "mean_seconds": 39.18606356131111,
-  "median_seconds": 39.9017451396212,
-  "neutral_mean_seconds": 31.58531818194805,
-  "reference_edit_mean_seconds": 40.01003177474529,
   "timings_include": "50 denoising steps with real CFG4, reference VAE encode when applicable, VAE decode; CUDA synchronized",
   "timings_exclude": "Positive prompt preencoding, model loading, compile warmup, PNG/TAR writes and upload",
   "pilot_excluded": "Pilot GPU7 was shared with background production and used CPU offload; it is not a dedicated-GPU benchmark"

 {
   "hardware": "8 × NVIDIA A100-SXM4-80GB",
   "batch_size_per_gpu": 1,
+  "steady_samples": 3954,
+  "mean_seconds": 39.17715307372845,
+  "median_seconds": 39.899885518010706,
+  "neutral_mean_seconds": 31.581704386934916,
+  "reference_edit_mean_seconds": 40.00594116325515,
   "timings_include": "50 denoising steps with real CFG4, reference VAE encode when applicable, VAE decode; CUDA synchronized",
   "timings_exclude": "Positive prompt preencoding, model loading, compile warmup, PNG/TAR writes and upload",
   "pilot_excluded": "Pilot GPU7 was shared with background production and used CPU offload; it is not a dedicated-GPU benchmark"

metadata/progress.json CHANGED Viewed

@@ -1,17 +1,17 @@
 {
-  "utc": "2026-10-06T19:43:17.735099+00:00",
   "people": {
-    "done": 296,
-    "queued": 189,
-    "running": 15
   },
   "shards": {
-    "uploaded": 154
   },
-  "images_in_closed_shards": 2960,
-  "images_generated": 3070,
   "target_people": 500,
   "target_images": 5000,
-  "images_uploaded": 2960,
-  "buffer_free_gb": 298.794737664
 }

 {
+  "utc": "2026-10-06T21:04:35.598564+00:00",
   "people": {
+    "done": 400,
+    "queued": 89,
+    "running": 11
   },
   "shards": {
+    "uploaded": 206
   },
+  "images_in_closed_shards": 4000,
+  "images_generated": 4062,
   "target_people": 500,
   "target_images": 5000,
+  "images_uploaded": 4000,
+  "buffer_free_gb": 297.679163392
 }

metadata/quality-review.json CHANGED Viewed

@@ -1,965 +1,1185 @@
 {
   "reviewed_ids": [
-    "person-0002-neutral",
-    "person-0120-neutral",
-    "person-0253-neutral",
-    "person-0002-angry",
-    "person-0120-angry",
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-    "person-0002-joyful",
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-    "person-0145-neutral",
-    "person-0145-joyful",
-    "person-0145-grateful",
-    "person-0145-playful",
-    "person-0145-angry",
-    "person-0145-afraid",
-    "person-0145-sad",
-    "person-0145-annoyed",
-    "person-0145-pain",
-    "person-0145-disgust",
-    "person-0314-neutral",
-    "person-0314-joyful",
-    "person-0314-grateful",
-    "person-0314-playful",
-    "person-0314-angry",
-    "person-0314-afraid",
-    "person-0314-sad",
-    "person-0314-annoyed",
-    "person-0314-pain",
-    "person-0314-disgust",
-    "person-0266-neutral",
-    "person-0266-joyful",
-    "person-0266-grateful",
-    "person-0266-playful",
-    "person-0266-angry",
-    "person-0266-afraid",
-    "person-0266-sad",
-    "person-0266-annoyed",
-    "person-0266-pain",
-    "person-0266-disgust",
-    "person-0241-neutral",
-    "person-0241-joyful",
-    "person-0241-grateful",
-    "person-0241-playful",
-    "person-0241-angry",
-    "person-0241-afraid",
-    "person-0241-sad",
-    "person-0241-annoyed",
-    "person-0241-pain",
-    "person-0241-disgust",
-    "person-0218-neutral",
-    "person-0218-joyful",
-    "person-0218-grateful",
-    "person-0218-playful",
-    "person-0218-angry",
-    "person-0218-afraid",
-    "person-0218-sad",
-    "person-0218-annoyed",
-    "person-0218-pain",
-    "person-0218-disgust"
   ],
   "findings": [
     "Focused reference edit prompts produce clear natural neutral/joyful/angry differences for baby,schoolgirl and17-year-old girl while maintaining closely matched identity,hair,outfit and pose. Baby sadness was inspected separately when present.",
@@ -975,7 +1195,8 @@
     "At the 1000-image milestone, all ten expressions visually inspected for twelve additional identities0003/0025/0091/0136/0256/0232/0372/0482/0349/0280/0438/0460. Baby sportswear,creative overalls,formal skirt,rock-inspired denim,crafts and senior workwear render fully clothed; identities and outfits remain closely matched. Skin-preservation wording also holds in reviewed darker-skinned adults and seniors. Minor facial-detail and lighting variation remain possible.",
     "Person0301 simple everyday clothing reviewed in all ten emotions. Visual review now covers all twenty planned outfit-style labels,all22 age/gender cells,and all8 intended heritage labels; these are coverage of prompted labels rather than ethnicity inference from images.",
     "At the2000-image milestone,reviewed another22 complete person groups,one newly finished group per age/gender cell. Hair,outfit,pose and framing remain closely matched; joyful/grateful/playful/anger and mild negative expressions remain natural. No new series-level defect requiring regeneration was observed.",
-    "At the3000-image milestone,inspected22 newly completed ten-expression groups across all22 age/gender cells. Consistent clothes,hair,pose and greenscreen framing; facial changes remain mild and natural. No additional group-level defect requiring regeneration was found."
   ],
   "status": "ongoing stratified visual review; accepted production",
   "limitations": [
@@ -985,65 +1206,65 @@
     "Reference edits can alter skin tone or lighting; explicit preservation wording reduces observed changes but does not guarantee identical pixels.",
     "Painted stylization can make adjacent age groups look similar,especially teens and young adults; age_years is the prompted age rather than a visual ground-truth estimate."
   ],
-  "utc": "2026-10-06T19:40:29.915815+00:00",
   "coverage": {
     "age_and_gender": {
-      "older_senior/male": 5,
-      "older_teen/female": 5,
-      "older_adult/female": 4,
-      "young_adult/female": 4,
-      "older_senior/female": 5,
-      "older_teen/male": 5,
-      "young_adult/male": 4,
-      "baby/male": 5,
-      "preschool/male": 4,
-      "preschool/female": 4,
-      "older_schoolchild/female": 5,
-      "younger_schoolchild/female": 5,
-      "older_schoolchild/male": 5,
-      "younger_schoolchild/male": 4,
-      "younger_teen/male": 3,
-      "younger_senior/male": 4,
-      "baby/female": 4,
-      "younger_senior/female": 4,
-      "older_adult/male": 4,
-      "younger_teen/female": 5,
-      "middle_adult/female": 5,
-      "middle_adult/male": 3
     },
     "intended_ethnicity": {
       "southeast_asian": 8,
-      "japanese": 8,
-      "white_caucasian": 44,
-      "african_american": 7,
-      "arab": 8,
-      "indian": 8,
-      "indigenous_american": 7,
-      "latino": 6
     },
     "outfit_style": {
       "workwear": 4,
       "simple_everyday": 5,
       "formal": 4,
-      "smart_casual": 7,
-      "everyday_dress": 3,
-      "sporty": 10,
-      "outdoors": 8,
-      "baby_everyday": 3,
-      "child_formal": 4,
-      "child_school": 3,
-      "crafts": 3,
-      "child_creative": 6,
-      "child_outdoors": 4,
-      "child_sporty": 4,
-      "formal_skirt": 2,
-      "rock_inspired": 6,
-      "casual_layers": 8,
-      "baby_sporty": 3,
-      "child_everyday": 6,
-      "baby_layers": 3
     }
   },
-  "people_reviewed": 96,
-  "images_reviewed": 960
 }

 {
   "reviewed_ids": [
+    "person-0001-afraid",
+    "person-0001-angry",
+    "person-0001-annoyed",
+    "person-0001-disgust",
+    "person-0001-grateful",
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+    "person-0001-playful",
+    "person-0001-sad",
+    "person-0002-afraid",
+    "person-0002-angry",
+    "person-0002-annoyed",
+    "person-0002-disgust",
+    "person-0002-grateful",
+    "person-0002-joyful",
+    "person-0002-neutral",
+    "person-0002-pain",
+    "person-0002-playful",
+    "person-0002-sad",
+    "person-0003-afraid",
+    "person-0003-angry",
+    "person-0003-annoyed",
+    "person-0003-disgust",
+    "person-0003-grateful",
+    "person-0003-joyful",
+    "person-0003-neutral",
+    "person-0003-pain",
+    "person-0003-playful",
+    "person-0003-sad",
     "person-0010-afraid",
+    "person-0010-angry",
     "person-0010-annoyed",
     "person-0010-disgust",
+    "person-0010-grateful",
+    "person-0010-joyful",
+    "person-0010-neutral",
+    "person-0010-pain",
+    "person-0010-playful",
+    "person-0010-sad",
+    "person-0014-afraid",
+    "person-0014-angry",
+    "person-0014-annoyed",
+    "person-0014-disgust",
+    "person-0014-grateful",
+    "person-0014-joyful",
+    "person-0014-neutral",
+    "person-0014-pain",
+    "person-0014-playful",
+    "person-0014-sad",
+    "person-0018-afraid",
+    "person-0018-angry",
+    "person-0018-annoyed",
+    "person-0018-disgust",
+    "person-0018-grateful",
+    "person-0018-joyful",
+    "person-0018-neutral",
+    "person-0018-pain",
+    "person-0018-playful",
+    "person-0018-sad",
+    "person-0024-afraid",
+    "person-0024-angry",
+    "person-0024-annoyed",
+    "person-0024-disgust",
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+    "person-0025-afraid",
+    "person-0025-angry",
+    "person-0025-annoyed",
+    "person-0025-disgust",
+    "person-0025-grateful",
+    "person-0025-joyful",
+    "person-0025-neutral",
+    "person-0025-pain",
+    "person-0025-playful",
+    "person-0025-sad",
     "person-0032-afraid",
+    "person-0032-angry",
     "person-0032-annoyed",
     "person-0032-disgust",
+    "person-0032-grateful",
+    "person-0032-joyful",
+    "person-0032-neutral",
+    "person-0032-pain",
+    "person-0032-playful",
+    "person-0032-sad",
+    "person-0035-afraid",
+    "person-0035-angry",
+    "person-0035-annoyed",
+    "person-0035-disgust",
+    "person-0035-grateful",
+    "person-0035-joyful",
+    "person-0035-neutral",
+    "person-0035-pain",
+    "person-0035-playful",
+    "person-0035-sad",
+    "person-0039-afraid",
+    "person-0039-angry",
+    "person-0039-annoyed",
+    "person-0039-disgust",
+    "person-0039-grateful",
+    "person-0039-joyful",
+    "person-0039-neutral",
+    "person-0039-pain",
+    "person-0039-playful",
+    "person-0039-sad",
+    "person-0045-afraid",
+    "person-0045-angry",
+    "person-0045-annoyed",
+    "person-0045-disgust",
+    "person-0045-grateful",
+    "person-0045-joyful",
+    "person-0045-neutral",
+    "person-0045-pain",
+    "person-0045-playful",
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+    "person-0046-afraid",
+    "person-0046-angry",
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     "person-0053-afraid",
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     "person-0053-annoyed",
     "person-0053-disgust",
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+    "person-0058-afraid",
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+    "person-0058-grateful",
+    "person-0058-joyful",
+    "person-0058-neutral",
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+    "person-0058-playful",
+    "person-0058-sad",
+    "person-0062-afraid",
+    "person-0062-angry",
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+    "person-0062-disgust",
+    "person-0062-grateful",
+    "person-0062-joyful",
+    "person-0062-neutral",
+    "person-0062-pain",
+    "person-0062-playful",
+    "person-0062-sad",
+    "person-0067-afraid",
+    "person-0067-angry",
+    "person-0067-annoyed",
+    "person-0067-disgust",
+    "person-0067-grateful",
+    "person-0067-joyful",
+    "person-0067-neutral",
+    "person-0067-pain",
+    "person-0067-playful",
+    "person-0067-sad",
+    "person-0068-afraid",
+    "person-0068-angry",
+    "person-0068-annoyed",
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+    "person-0068-grateful",
+    "person-0068-joyful",
+    "person-0068-neutral",
+    "person-0068-pain",
+    "person-0068-playful",
+    "person-0068-sad",
     "person-0076-afraid",
+    "person-0076-angry",
     "person-0076-annoyed",
     "person-0076-disgust",
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+    "person-0076-neutral",
+    "person-0076-pain",
+    "person-0076-playful",
+    "person-0076-sad",
+    "person-0079-afraid",
+    "person-0079-angry",
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+    "person-0079-disgust",
+    "person-0079-grateful",
+    "person-0079-joyful",
+    "person-0079-neutral",
+    "person-0079-pain",
+    "person-0079-playful",
+    "person-0079-sad",
+    "person-0083-afraid",
+    "person-0083-angry",
+    "person-0083-annoyed",
+    "person-0083-disgust",
+    "person-0083-grateful",
+    "person-0083-joyful",
+    "person-0083-neutral",
+    "person-0083-pain",
+    "person-0083-playful",
+    "person-0083-sad",
+    "person-0089-afraid",
+    "person-0089-angry",
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+    "person-0089-disgust",
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+    "person-0089-neutral",
+    "person-0089-pain",
+    "person-0089-playful",
+    "person-0089-sad",
+    "person-0091-afraid",
+    "person-0091-angry",
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+    "person-0091-neutral",
+    "person-0091-pain",
+    "person-0091-playful",
+    "person-0091-sad",
     "person-0097-afraid",
+    "person-0097-angry",
     "person-0097-annoyed",
     "person-0097-disgust",
+    "person-0097-grateful",
+    "person-0097-joyful",
+    "person-0097-neutral",
+    "person-0097-pain",
+    "person-0097-playful",
+    "person-0097-sad",
+    "person-0102-afraid",
+    "person-0102-angry",
+    "person-0102-annoyed",
+    "person-0102-disgust",
+    "person-0102-grateful",
+    "person-0102-joyful",
+    "person-0102-neutral",
+    "person-0102-pain",
+    "person-0102-playful",
+    "person-0102-sad",
+    "person-0106-afraid",
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+    "person-0106-neutral",
+    "person-0106-pain",
+    "person-0106-playful",
+    "person-0106-sad",
+    "person-0112-afraid",
+    "person-0112-angry",
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+    "person-0112-disgust",
+    "person-0112-grateful",
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+    "person-0112-pain",
+    "person-0112-playful",
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+    "person-0114-afraid",
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+    "person-0114-playful",
+    "person-0114-sad",
     "person-0117-afraid",
+    "person-0117-angry",
     "person-0117-annoyed",
     "person-0117-disgust",
+    "person-0117-grateful",
+    "person-0117-joyful",
+    "person-0117-neutral",
+    "person-0117-pain",
+    "person-0117-playful",
+    "person-0117-sad",
+    "person-0120-afraid",
+    "person-0120-angry",
+    "person-0120-annoyed",
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+    "person-0120-pain",
+    "person-0120-playful",
+    "person-0120-sad",
+    "person-0123-afraid",
+    "person-0123-angry",
+    "person-0123-annoyed",
+    "person-0123-disgust",
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+    "person-0123-joyful",
+    "person-0123-neutral",
+    "person-0123-pain",
+    "person-0123-playful",
+    "person-0123-sad",
+    "person-0127-afraid",
+    "person-0127-angry",
+    "person-0127-annoyed",
+    "person-0127-disgust",
+    "person-0127-grateful",
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+    "person-0127-neutral",
+    "person-0127-pain",
+    "person-0127-playful",
+    "person-0127-sad",
+    "person-0133-afraid",
+    "person-0133-angry",
+    "person-0133-annoyed",
+    "person-0133-disgust",
+    "person-0133-grateful",
+    "person-0133-joyful",
+    "person-0133-neutral",
+    "person-0133-pain",
+    "person-0133-playful",
+    "person-0133-sad",
+    "person-0134-afraid",
+    "person-0134-angry",
+    "person-0134-annoyed",
+    "person-0134-disgust",
+    "person-0134-grateful",
+    "person-0134-joyful",
+    "person-0134-neutral",
+    "person-0134-pain",
+    "person-0134-playful",
+    "person-0134-sad",
+    "person-0136-afraid",
+    "person-0136-angry",
+    "person-0136-annoyed",
+    "person-0136-disgust",
+    "person-0136-grateful",
+    "person-0136-joyful",
+    "person-0136-neutral",
+    "person-0136-pain",
+    "person-0136-playful",
+    "person-0136-sad",
     "person-0141-afraid",
+    "person-0141-angry",
     "person-0141-annoyed",
     "person-0141-disgust",
+    "person-0141-grateful",
+    "person-0141-joyful",
+    "person-0141-neutral",
+    "person-0141-pain",
+    "person-0141-playful",
+    "person-0141-sad",
+    "person-0145-afraid",
+    "person-0145-angry",
+    "person-0145-annoyed",
+    "person-0145-disgust",
+    "person-0145-grateful",
+    "person-0145-joyful",
+    "person-0145-neutral",
+    "person-0145-pain",
+    "person-0145-playful",
+    "person-0145-sad",
+    "person-0150-afraid",
+    "person-0150-angry",
+    "person-0150-annoyed",
+    "person-0150-disgust",
+    "person-0150-grateful",
+    "person-0150-joyful",
+    "person-0150-neutral",
+    "person-0150-pain",
+    "person-0150-playful",
+    "person-0150-sad",
+    "person-0157-afraid",
+    "person-0157-angry",
+    "person-0157-annoyed",
+    "person-0157-disgust",
+    "person-0157-grateful",
+    "person-0157-joyful",
+    "person-0157-neutral",
+    "person-0157-pain",
+    "person-0157-playful",
+    "person-0157-sad",
+    "person-0158-afraid",
+    "person-0158-angry",
+    "person-0158-annoyed",
+    "person-0158-disgust",
+    "person-0158-grateful",
+    "person-0158-joyful",
+    "person-0158-neutral",
+    "person-0158-pain",
+    "person-0158-playful",
+    "person-0158-sad",
+    "person-0160-afraid",
+    "person-0160-angry",
+    "person-0160-annoyed",
+    "person-0160-disgust",
+    "person-0160-grateful",
+    "person-0160-joyful",
+    "person-0160-neutral",
+    "person-0160-pain",
+    "person-0160-playful",
+    "person-0160-sad",
     "person-0166-afraid",
+    "person-0166-angry",
     "person-0166-annoyed",
     "person-0166-disgust",
+    "person-0166-grateful",
+    "person-0166-joyful",
+    "person-0166-neutral",
+    "person-0166-pain",
+    "person-0166-playful",
+    "person-0166-sad",
+    "person-0169-afraid",
+    "person-0169-angry",
+    "person-0169-annoyed",
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+    "person-0169-joyful",
+    "person-0169-neutral",
+    "person-0169-pain",
+    "person-0169-playful",
+    "person-0169-sad",
+    "person-0173-afraid",
+    "person-0173-angry",
+    "person-0173-annoyed",
+    "person-0173-disgust",
+    "person-0173-grateful",
+    "person-0173-joyful",
+    "person-0173-neutral",
+    "person-0173-pain",
+    "person-0173-playful",
+    "person-0173-sad",
+    "person-0181-afraid",
+    "person-0181-angry",
+    "person-0181-annoyed",
+    "person-0181-disgust",
+    "person-0181-grateful",
+    "person-0181-joyful",
+    "person-0181-neutral",
+    "person-0181-pain",
+    "person-0181-playful",
+    "person-0181-sad",
     "person-0189-afraid",
+    "person-0189-angry",
     "person-0189-annoyed",
     "person-0189-disgust",
+    "person-0189-grateful",
+    "person-0189-joyful",
+    "person-0189-neutral",
+    "person-0189-pain",
+    "person-0189-playful",
+    "person-0189-sad",
+    "person-0194-afraid",
+    "person-0194-angry",
+    "person-0194-annoyed",
+    "person-0194-disgust",
+    "person-0194-grateful",
+    "person-0194-joyful",
+    "person-0194-neutral",
+    "person-0194-pain",
+    "person-0194-playful",
+    "person-0194-sad",
+    "person-0198-afraid",
+    "person-0198-angry",
+    "person-0198-annoyed",
+    "person-0198-disgust",
+    "person-0198-grateful",
+    "person-0198-joyful",
+    "person-0198-neutral",
+    "person-0198-pain",
+    "person-0198-playful",
+    "person-0198-sad",
+    "person-0205-afraid",
+    "person-0205-angry",
+    "person-0205-annoyed",
+    "person-0205-disgust",
+    "person-0205-grateful",
+    "person-0205-joyful",
+    "person-0205-neutral",
+    "person-0205-pain",
+    "person-0205-playful",
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+    "person-0473-neutral",
+    "person-0473-pain",
+    "person-0473-playful",
+    "person-0473-sad",
+    "person-0479-afraid",
+    "person-0479-angry",
+    "person-0479-annoyed",
+    "person-0479-disgust",
+    "person-0479-grateful",
+    "person-0479-joyful",
+    "person-0479-neutral",
+    "person-0479-pain",
+    "person-0479-playful",
+    "person-0479-sad",
+    "person-0480-afraid",
+    "person-0480-angry",
+    "person-0480-annoyed",
+    "person-0480-disgust",
+    "person-0480-grateful",
+    "person-0480-joyful",
+    "person-0480-neutral",
+    "person-0480-pain",
+    "person-0480-playful",
+    "person-0480-sad",
+    "person-0482-afraid",
+    "person-0482-angry",
+    "person-0482-annoyed",
+    "person-0482-disgust",
+    "person-0482-grateful",
+    "person-0482-joyful",
+    "person-0482-neutral",
+    "person-0482-pain",
+    "person-0482-playful",
+    "person-0482-sad",
     "person-0488-afraid",
+    "person-0488-angry",
     "person-0488-annoyed",
     "person-0488-disgust",
+    "person-0488-grateful",
+    "person-0488-joyful",
+    "person-0488-neutral",
+    "person-0488-pain",
+    "person-0488-playful",
+    "person-0488-sad",
     "person-0492-afraid",
+    "person-0492-angry",
     "person-0492-annoyed",
     "person-0492-disgust",
+    "person-0492-grateful",
+    "person-0492-joyful",
+    "person-0492-neutral",
+    "person-0492-pain",
+    "person-0492-playful",
+    "person-0492-sad",
+    "person-0496-afraid",
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+    "person-0496-annoyed",
+    "person-0496-disgust",
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+    "person-0496-neutral",
+    "person-0496-pain",
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+    "person-0496-sad"
   ],
   "findings": [
     "Focused reference edit prompts produce clear natural neutral/joyful/angry differences for baby,schoolgirl and17-year-old girl while maintaining closely matched identity,hair,outfit and pose. Baby sadness was inspected separately when present.",
     "At the 1000-image milestone, all ten expressions visually inspected for twelve additional identities0003/0025/0091/0136/0256/0232/0372/0482/0349/0280/0438/0460. Baby sportswear,creative overalls,formal skirt,rock-inspired denim,crafts and senior workwear render fully clothed; identities and outfits remain closely matched. Skin-preservation wording also holds in reviewed darker-skinned adults and seniors. Minor facial-detail and lighting variation remain possible.",
     "Person0301 simple everyday clothing reviewed in all ten emotions. Visual review now covers all twenty planned outfit-style labels,all22 age/gender cells,and all8 intended heritage labels; these are coverage of prompted labels rather than ethnicity inference from images.",
     "At the2000-image milestone,reviewed another22 complete person groups,one newly finished group per age/gender cell. Hair,outfit,pose and framing remain closely matched; joyful/grateful/playful/anger and mild negative expressions remain natural. No new series-level defect requiring regeneration was observed.",
+    "At the3000-image milestone,inspected22 newly completed ten-expression groups across all22 age/gender cells. Consistent clothes,hair,pose and greenscreen framing; facial changes remain mild and natural. No additional group-level defect requiring regeneration was found.",
+    "At the4000-image milestone,visually inspected22 newly completed ten-expression groups,one per age/gender cell. Identity,hair,outfit,pose and framing remain closely matched; joyful/grateful/playful and mild negative expressions remain natural. Skin tone remains closely matched in reviewed darker-skinned adults and seniors. Painted ages can overlap,especially younger teens and young adults; no new group-level defect requiring regeneration was observed."
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   "status": "ongoing stratified visual review; accepted production",
   "limitations": [
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     "Painted stylization can make adjacent age groups look similar,especially teens and young adults; age_years is the prompted age rather than a visual ground-truth estimate."
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+      "younger_teen/female": 6,
+      "younger_teen/male": 4,
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     "intended_ethnicity": {
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+      "white_caucasian": 55,
       "southeast_asian": 8,
+      "latino": 8,
+      "african_american": 9,
+      "japanese": 9,
+      "indigenous_american": 8,
+      "indian": 11
     },
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       "workwear": 4,
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+      "child_formal": 6,
+      "rock_inspired": 10,
+      "crafts": 5,
+      "baby_sporty": 4,
+      "child_everyday": 7,
+      "baby_layers": 3,
+      "everyday_dress": 5,
+      "child_creative": 6,
       "simple_everyday": 5,
+      "child_school": 4,
+      "casual_layers": 9,
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+      "child_outdoors": 5,
       "formal": 4,
+      "child_sporty": 5,
+      "formal_skirt": 2
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+  "people_reviewed": 118,
+  "images_reviewed": 1180
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 ]

tools/background_production.py CHANGED Viewed

@@ -115,10 +115,10 @@ def worker(gpu, chunk):
     load_seconds = time.perf_counter() - start
     event(con, gpu, 'loaded', json.dumps(dict(seconds=load_seconds, gpu=torch.cuda.get_device_name(0))))
     existing = list(BUFFER.glob(f'{SHARD_PREFIX}-g{gpu}-*.tar'))
-    sequence = max([int(p.stem.rsplit('-', 1)[1]) for p in existing] + [-1]) + 1
     # Include remotely uploaded/deleted shards when resuming.
     rows = con.execute('SELECT name FROM shards WHERE worker=?', (gpu,)).fetchall()
-    sequence = max(sequence, max([int(r['name'].removesuffix('.tar').rsplit('-', 1)[1]) for r in rows] + [-1]) + 1)
     BUFFER.mkdir(parents=True, exist_ok=True)
     first = not rows
     while True:

     load_seconds = time.perf_counter() - start
     event(con, gpu, 'loaded', json.dumps(dict(seconds=load_seconds, gpu=torch.cuda.get_device_name(0))))
     existing = list(BUFFER.glob(f'{SHARD_PREFIX}-g{gpu}-*.tar'))
+    sequence = max([int(p.stem.rsplit('-', 1)[1]) for p in existing] + [-1])
     # Include remotely uploaded/deleted shards when resuming.
     rows = con.execute('SELECT name FROM shards WHERE worker=?', (gpu,)).fetchall()
+    sequence = max(sequence, max([int(r['name'].removesuffix('.tar').rsplit('-', 1)[1]) for r in rows] + [-1])) + 1
     BUFFER.mkdir(parents=True, exist_ok=True)
     first = not rows
     while True: