Update characters documentation, taxonomy, measured progress and validation

README.md

@@ -27,7 +27,7 @@ configs:
 
 **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:10/500 complete people;70/5,000 images uploaded.** Pilot and production validation are recorded in the linked metadata. Counts describe the snapshot; incremental shard commits can be newer.
+**Production snapshot: 38/500 complete people; 380/5,000 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.
 
@@ -47,7 +47,7 @@ The [base model](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B)
 | `younger_senior` | 65–79 years | 22 | 22 | 44 | 440 |
 | `older_senior` | 80–95 years | 22 | 22 | 44 | 440 |
 
-There are250 male and250 female prompt labels. Older schoolchildren, younger teens, older teens and young adults receive24 people per gender; the other age groups receive22. Each age/gender cell is exactly50% white European-ancestry in the prompt; its remaining people rotate across seven other groups. Overall allocation is:
+There are 250 male and 250 female prompt labels. Older schoolchildren, younger teens, older teens and young adults receive 24 people per gender; the other age groups receive 22. Each age/gender cell is exactly 50% white European-ancestry in the prompt; its remaining people rotate across seven other groups. Overall allocation is:
 
 | Intended prompt label | People | Images |
 |---|---:|---:|
@@ -60,13 +60,13 @@ There are250 male and250 female prompt labels. Older schoolchildren, younger tee
 | `southeast_asian` | 35 | 350 |
 | `indigenous_american` | 35 | 350 |
 
-These are **intended prompt attributes**, not ethnicity or gender inferred from rendered appearance, biological categories, or ground-truth measurements. Skin tones, hair, clothing and builds vary; no cultural costume is required to indicate a group. The distribution is deliberately selected coverage rather than population prevalence. Infants are sampled at9,12,15,18,21 or24 months and safely seated with the full clothed body visible. Other ages use a standing head-to-thigh composition. Teen prompts explicitly request natural adolescent proportions; late teens use near-adult faces with modest eyes and a defined jaw, while schoolchildren retain age-appropriate proportions without oversized doll-like eyes.
+These are **intended prompt attributes**, not ethnicity or gender inferred from rendered appearance, biological categories, or ground-truth measurements. Skin tones, hair, clothing and builds vary; no cultural costume is required to indicate a group. The distribution is deliberately selected coverage rather than population prevalence. Infants are sampled at 9, 12, 15, 18, 21 or 24 months and safely seated with the full clothed body visible. Other ages use a standing head-to-thigh composition; the model often renders the full body instead. Teen prompts explicitly request natural adolescent proportions; late teens use near-adult faces with modest eyes and a defined jaw, while schoolchildren retain age-appropriate proportions without oversized doll-like eyes.
 
 The full [class list](CLASSES.md), [taxonomy](metadata/taxonomy.json), [exact allocation](metadata/allocation.json), [500-person CSV](metadata/persons.csv), and [full prompt plan](metadata/person-plan.json) expose every attribute. No real people's photographs or external audio references were used.
 
 ## Stable person IDs and expression variants
 
-`personality_id` and `character_id` are identical stable keys such as`person-0253`. A person has one outfit, identified by`outfit_id=outfit-01`, and ten sample IDs such as`person-0253-neutral` and`person-0253-angry`. The neutral/slightly friendly image is the **default**. This release does not generate outfit changes; later outfits can retain the person ID and add new outfit IDs.
+`personality_id` and `character_id` are identical stable keys such as `person-0253`. A person has one outfit, identified by `outfit_id=outfit-01`, and ten sample IDs such as `person-0253-neutral` and `person-0253-angry`. The neutral/slightly friendly image is the **default**. This release does not generate outfit changes; later outfits can retain the person ID and add new outfit IDs.
 
 | Expression ID | Intended mild facial cue | Images |
 |---|---|---:|
@@ -83,12 +83,14 @@ The full [class list](CLASSES.md), [taxonomy](metadata/taxonomy.json), [exact al
 
 All expressions request mild natural facial changes, with clearly specified mouth, brow and eyelid cues, rather than exaggerated caricatures. Joyful uses a natural open smile; grateful uses a softer appreciative smile. Pain means mild discomfort with no visible injury. Playful means an innocent lopsided smile. Fully clothed age-appropriate everyday outfits are used for all ages, including children and adolescents. Outfit styles range across casual layers, sportswear, formal clothing, practical workwear and rock-inspired denim; clothing avoids green and teal to support later chroma-keying.
 
-Clothing styles and colors use independent identity-hashed allocations, so the even/odd demographic assignment does not determine a clothing family. An early allocation refinement preserved the24 already started people and reassigned only the476 queued people; [the audit](metadata/outfit-allocation-refinement.json) records those changes. The published full person plan is authoritative for reproduction, including those retained initial outfits.
+Clothing styles and colors use independent identity-hashed allocations, so the even/odd demographic assignment does not determine a clothing family. An early allocation refinement preserved the 24 already started people and reassigned only the 476 queued people; [the audit](metadata/outfit-allocation-refinement.json) records those changes. The published full person plan is authoritative for reproduction, including those retained initial outfits.
 
-The neutral image is generated first. **Each of the nine other images uses that same neutral image as its visual reference**, resized to416×624 using PIL BICUBIC, with the same seeded noise across the entire person group. Edits request the same identity, hair, skin, outfit, pose and framing and modify the face. The reference PNG's SHA256 and the reference sample ID are recorded. Reference conditioning encourages consistency; it is not a pixel-locking identity guarantee. Small pose, facial-detail or clothing changes can occur. The visual review records what was inspected rather than claiming all appearances were automatically verified.
+The neutral image is generated first. **Each of the nine other images uses that same neutral image as its visual reference**, resized to 416×624 using PIL BICUBIC, with the same seeded noise across the entire person group. Edits request the same identity, hair, skin, outfit, pose and framing and modify the face. The reference PNG's SHA256 and the reference sample ID are recorded. Reference conditioning encourages consistency; it is not a pixel-locking identity guarantee. Small pose, facial-detail or clothing changes can occur. The visual review records what was inspected rather than claiming all appearances were automatically verified.
 
 An initial pilot preserved identity but made facial expressions too similar. It was rejected before public ingestion. Subsequent pilots use focused face-edit prompts instead of repeating the full person description and remove the generic expression-suppression negative clause from edits. The accepted quality report, when available, records the actual inspected samples.
 
+A later visual check found lighter facial skin in one senior character's joyful edit. That complete ten-image group was removed and regenerated with explicit preservation of the original skin tone, exposure and lighting. The revised wording improved the inspected series and was applied to the 453 people still queued at that point. Already started groups retained their actual prompts. The [targeted regeneration](metadata/skin-tone-pilot.json) and [prompt refinement audit](metadata/skin-tone-prompt-refinement.json) record the changes. Small skin-tone or lighting variations can still occur; the full plan and each sample's metadata contain the wording actually used.
+
 ## Prompt template and example
 
 The shared style is:
@@ -97,10 +99,10 @@ The shared style is:
 Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces.
 ```
 
-For a default portrait,`tools/plan_character_production.py` builds a complete age/heritage/hair/outfit description and applies the shared character template. For edits it uses a focused instruction, for example:
+For a default portrait, `tools/plan_character_production.py` builds a complete age/heritage/hair/outfit description and applies the shared character template. For edits it uses a focused instruction, for example:
 
 ```text
-vvar_char, edit the reference portrait. Make this exact same fictional 17-year-old person show mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.
+vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.
 ```
 
 Negative prompts exclude extra people, changed clothing, different hairstyles, text, logos and scenery. School-age and older prompts also discourage oversized doll eyes and chibi proportions. The full positive and negative prompts are in every sample's JSON and the actual positive prompt also has its own TXT member.
@@ -115,7 +117,7 @@ person-0253-neutral.json
 person-0253-neutral.txt
 ```
 
-Images are written directly into TARs. There are no individually uploaded PNGs. A production shard normally holds **two complete person groups,20 images**, with10-image first-worker/pilot shards and smaller last-worker shards. Keeping all expressions of a person together makes grouping convenient. [Shard SHA256/size/count manifest](metadata/shards.json), [inference records](metadata/inference-records.jsonl), [progress](metadata/progress.json), and [sample index](metadata/sample-index.json) describe the release snapshot. Use`personality_id` for splitting: random splitting by image can leak the same fictional identity across train and evaluation.
+Images are written directly into TARs. There are no individually uploaded PNGs. A production shard normally holds **two complete person groups, 20 images**, with 10-image first-worker/pilot shards and smaller last-worker shards. Keeping all expressions of a person together makes grouping convenient. [Shard SHA256/size/count manifest](metadata/shards.json), [inference records](metadata/inference-records.jsonl), [progress](metadata/progress.json), and [sample index](metadata/sample-index.json) describe the release snapshot. Use `personality_id` for splitting: random splitting by image can leak the same fictional identity across train and evaluation.
 
 Install the lightweight reader dependencies and stream with Hugging Face Datasets:
 
@@ -128,7 +130,7 @@ image, metadata, prompt = sample["png"], sample["json"], sample["txt"]
 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:
+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 \
@@ -137,14 +139,14 @@ python tools/read_webdataset.py pilot-person-0253.tar \
 
 ## Inference and reproduction
 
-Install`requirements.txt`, obtain access to the linked base model, and authenticate locally using your own Hugging Face account. The generator uses pinned model and LoRA revisions listed in [provenance](metadata/provenance.json); no access token is included in the dataset or code. The default example generates one late-teen person and all ten expressions directly into one TAR:
+Install `requirements.txt`, obtain access to the linked base model, and authenticate locally using your own Hugging Face account. The generator uses pinned model and LoRA revisions listed in [provenance](metadata/provenance.json); no access token is included in the dataset or code. The default example generates one late-teen person and all ten expressions directly into one TAR:
 
 ```bash
 python tools/infer_character_tar.py --person person-0253 \
   --plan metadata/person-plan.json --output person-0253-emotions.tar
 ```
 
-`--base-path` can point to an already downloaded base checkpoint.`--no-compile` disables compilation when needed. The default inference helper fuses the LoRA and QKV projections, compiles repeated transformer blocks, batches the positive/negative CFG branches and caches text embeddings. These optimizations preserve50-step real CFG4 sampling; there is no denoising approximation cache. The pipeline is BF16 and expects a CUDA GPU with sufficient memory. Published seeds and revisions enable matching the generation recipe, but bitwise reproduction across GPU/runtime versions is not promised.
+`--base-path` can point to an already downloaded base checkpoint. `--no-compile` disables compilation when needed. The default inference helper fuses the LoRA and QKV projections, compiles repeated transformer blocks, batches the positive/negative CFG branches and caches text embeddings. These optimizations preserve 50-step real CFG4 sampling; there is no denoising approximation cache. The pipeline is BF16 and expects a CUDA GPU with sufficient memory. Published seeds and revisions enable matching the generation recipe, but bitwise reproduction across GPU/runtime versions is not promised.
 
 ## Timing, validation and provenance
 
@@ -152,4 +154,4 @@ Production uses eight independent A100-SXM4-80GB workers, batch size one per GPU
 
 Every closed shard is verified against remote SHA256 and byte size after upload. The final integrity report fully decodes all PNGs, checks adjacent PNG/JSON/TXT grouping, unique planned IDs, prompt/seed equality, image checksums and reference linkage, complete ten-emotion person groups, and the exact planned distributions. [Integrity report](metadata/integrity-validation.json) and [visual review](metadata/quality-review.json) are published when their respective checks are complete.
 
-The character adapter was trained on the previously selected Vivarium greenscreen data and chosen at training step1,500, rank/alpha64, strength1.0. This release's500 people are newly planned synthetic identities. Their count distribution is independent of the original Anim-E procedural prompt row frequencies. Generation terms are documented in [LICENSE.md](LICENSE.md) with the full [model license](MODEL_LICENSE.md).
+The character adapter was trained on the previously selected Vivarium greenscreen data and chosen at training step 1,500, rank/alpha 64, strength 1.0. This release's 500 people are newly planned synthetic identities. Their count distribution is independent of the original Anim-E procedural prompt row frequencies. Generation terms are documented in [LICENSE.md](LICENSE.md) with the full [model license](MODEL_LICENSE.md).

metadata/integrity-validation.json

@@ -1,11 +1,11 @@
 {
   "status": "passed",
   "scope": "closed-shard snapshot",
-  "utc": "2026-10-06T15:38:30.718003+00:00",
-  "images_verified": 70,
-  "persons_verified": 7,
-  "shards_verified": 7,
-  "bytes_verified": 78776320,
+  "utc": "2026-10-06T15:48:44.035153+00:00",
+  "images_verified": 100,
+  "persons_verified": 10,
+  "shards_verified": 10,
+  "bytes_verified": 113336320,
   "checks": [
     "TAR SHA256 and byte size",
     "three adjacent unique members per sample",

metadata/performance.json

@@ -1,11 +1,11 @@
 {
   "hardware": "8 × NVIDIA A100-SXM4-80GB",
   "batch_size_per_gpu": 1,
-  "steady_samples": 56,
-  "mean_seconds": 39.93901441212178,
-  "median_seconds": 39.88110267953016,
-  "neutral_mean_seconds": null,
-  "reference_edit_mean_seconds": 39.93901441212178,
+  "steady_samples": 334,
+  "mean_seconds": 39.272562890362366,
+  "median_seconds": 39.89011165779084,
+  "neutral_mean_seconds": 31.531493236086572,
+  "reference_edit_mean_seconds": 39.95337357656903,
   "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/plan-token-validation.json

@@ -7,6 +7,6 @@
   "truncated_prompts": 0,
   "unique_person_ids": 500,
   "unique_image_ids": 5000,
-  "plan_sha256": "8f35392cc3c7bef3dde4262cc8ec4e400a18346b6253844455e90a5e05e98f0a",
+  "plan_sha256": "c47223e4803afa96a8719c5a5bcf6c34a8ad13e8c59978f08b17feee30d74b6e",
   "tokenization": "Official pipeline chat template with enable_thinking=False; no truncation in validation"
 }

metadata/progress.json

@@ -1,18 +1,17 @@
 {
-  "utc": "2026-10-06T15:47:31.239912+00:00",
+  "utc": "2026-10-06T16:06:50.660024+00:00",
   "people": {
-    "done": 10,
-    "queued": 476,
-    "running": 14
+    "done": 38,
+    "queued": 453,
+    "running": 9
   },
   "shards": {
-    "ready": 3,
-    "uploaded": 7
+    "uploaded": 25
   },
-  "images_in_closed_shards": 100,
-  "images_generated": 205,
+  "images_in_closed_shards": 380,
+  "images_generated": 430,
   "target_people": 500,
   "target_images": 5000,
-  "images_uploaded": 70,
-  "buffer_free_gb": 302.03314176
+  "images_uploaded": 380,
+  "buffer_free_gb": 301.755633664
 }

metadata/provenance.json

@@ -23,7 +23,7 @@
   ],
   "reference": "The neutral image of the same generated fictional person, resized with PIL BICUBIC",
   "seed_method": "First32 bits of SHA256(vivarium-people-2026-10-06:<personality_id>),big-endian; same seed for all ten expressions",
-  "plan_sha256": "8f35392cc3c7bef3dde4262cc8ec4e400a18346b6253844455e90a5e05e98f0a",
+  "plan_sha256": "c47223e4803afa96a8719c5a5bcf6c34a8ad13e8c59978f08b17feee30d74b6e",
   "software": {
     "torch": "2.7.1+cu126",
     "transformers": "5.18.0",

metadata/quality-review.json

@@ -79,19 +79,133 @@
     "person-0089-sad",
     "person-0089-annoyed",
     "person-0089-pain",
-    "person-0089-disgust"
+    "person-0089-disgust",
+    "person-0045-neutral",
+    "person-0045-joyful",
+    "person-0045-grateful",
+    "person-0045-playful",
+    "person-0045-angry",
+    "person-0045-afraid",
+    "person-0045-sad",
+    "person-0045-annoyed",
+    "person-0045-pain",
+    "person-0045-disgust",
+    "person-0112-neutral",
+    "person-0112-joyful",
+    "person-0112-grateful",
+    "person-0112-playful",
+    "person-0112-angry",
+    "person-0112-afraid",
+    "person-0112-sad",
+    "person-0112-annoyed",
+    "person-0112-pain",
+    "person-0112-disgust",
+    "person-0158-neutral",
+    "person-0158-joyful",
+    "person-0158-grateful",
+    "person-0158-playful",
+    "person-0158-angry",
+    "person-0158-afraid",
+    "person-0158-sad",
+    "person-0158-annoyed",
+    "person-0158-pain",
+    "person-0158-disgust",
+    "person-0206-neutral",
+    "person-0206-joyful",
+    "person-0206-grateful",
+    "person-0206-playful",
+    "person-0206-angry",
+    "person-0206-afraid",
+    "person-0206-sad",
+    "person-0206-annoyed",
+    "person-0206-pain",
+    "person-0206-disgust",
+    "person-0229-neutral",
+    "person-0229-joyful",
+    "person-0229-grateful",
+    "person-0229-playful",
+    "person-0229-angry",
+    "person-0229-afraid",
+    "person-0229-sad",
+    "person-0229-annoyed",
+    "person-0229-pain",
+    "person-0229-disgust",
+    "person-0277-neutral",
+    "person-0277-joyful",
+    "person-0277-grateful",
+    "person-0277-playful",
+    "person-0277-angry",
+    "person-0277-afraid",
+    "person-0277-sad",
+    "person-0277-annoyed",
+    "person-0277-pain",
+    "person-0277-disgust",
+    "person-0181-neutral",
+    "person-0181-joyful",
+    "person-0181-grateful",
+    "person-0181-playful",
+    "person-0181-angry",
+    "person-0181-afraid",
+    "person-0181-sad",
+    "person-0181-annoyed",
+    "person-0181-pain",
+    "person-0181-disgust",
+    "person-0254-neutral",
+    "person-0254-joyful",
+    "person-0254-grateful",
+    "person-0254-playful",
+    "person-0254-angry",
+    "person-0254-afraid",
+    "person-0254-sad",
+    "person-0254-annoyed",
+    "person-0254-pain",
+    "person-0254-disgust",
+    "person-0325-neutral",
+    "person-0325-joyful",
+    "person-0325-grateful",
+    "person-0325-playful",
+    "person-0325-angry",
+    "person-0325-afraid",
+    "person-0325-sad",
+    "person-0325-annoyed",
+    "person-0325-pain",
+    "person-0325-disgust",
+    "person-0348-neutral",
+    "person-0348-joyful",
+    "person-0348-grateful",
+    "person-0348-playful",
+    "person-0348-angry",
+    "person-0348-afraid",
+    "person-0348-sad",
+    "person-0348-annoyed",
+    "person-0348-pain",
+    "person-0348-disgust",
+    "person-0457-neutral",
+    "person-0457-joyful",
+    "person-0457-grateful",
+    "person-0457-playful",
+    "person-0457-angry",
+    "person-0457-afraid",
+    "person-0457-sad",
+    "person-0457-annoyed",
+    "person-0457-pain",
+    "person-0457-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.",
     "All ten expressions visually inspected for production baby person0001 and preschool girl person0068. Identity,hair,outfit,pose and greenscreen remain closely matched. Joyful,grateful,playful,angry and annoyance are clearly differentiated; several mild negative emotions can overlap. No extreme caricatures or visible injuries.",
     "The complete older-schoolboy series person0133 also retains near-identical clothes and pose with restrained face proportions and ten mild requested expressions.",
-    "All30 final focused-edit pilot images visually inspected across baby,schoolchild and older teen. Reference identity and outfit remain closely matched; joyful,grateful,playful,anger,annoyance and discomfort visible. Mild fear/sadness/disgust overlap. Production infant person0024 and schoolboy person0089 also inspected in all ten expressions."
+    "All30 final focused-edit pilot images visually inspected across baby,schoolchild and older teen. Reference identity and outfit remain closely matched; joyful,grateful,playful,anger,annoyance and discomfort visible. Mild fear/sadness/disgust overlap. Production infant person0024 and schoolboy person0089 also inspected in all ten expressions.",
+    "All ten variants also reviewed for preschool boy person0045 and schoolgirl person0112; identity,outfit and pose consistent with subtle natural expression changes.",
+    "All ten expressions visually reviewed for older schoolgirl0158,younger teen0181/0206,older teen0229/0254,young adult0277,middle adult0325/0348,old senior0457. Stable hair,pose and clothing; mild expressions can overlap. Requested near-adult proportions are visible for older teens.",
+    "Rejected the first person0436 series because the joyful edit visibly lightened facial skin. Removed all ten samples, then regenerated the complete group with explicit original skin tone and exposure/lighting. The new first five variants were inspected and showed improved consistency; remaining expressions pending review."
   ],
   "status": "production pilot passed",
   "limitations": [
     "Reference conditioning can slightly alter facial details and clothing folds",
     "Visual assessment of rendered age and identity is subjective; demographic labels are intended prompt attributes",
-    "Mild fear,sadness and disgust can be visually close; labels record the requested expression,not a ground-truth expression classifier"
+    "Mild fear,sadness and disgust can be visually close; labels record the requested expression,not a ground-truth expression classifier",
+    "Reference edits can alter skin tone or lighting; explicit preservation wording reduces observed changes but does not guarantee identical pixels."
   ],
-  "utc": "2026-10-06T15:47:26.833664+00:00"
+  "utc": "2026-10-06T16:06:03.781263+00:00"
 }

metadata/sample-index.json

@@ -1,4 +1,304 @@
 [
+  {
+    "id": "person-0002-neutral",
+    "personality_id": "person-0002",
+    "emotion": "neutral",
+    "shard": "pilot-person-0002.tar",
+    "image_offset": 512,
+    "image_bytes": 1220857,
+    "image_sha256": "a407386e29d500b04d634308a6e6f6d99ad69cc8b8f4d2dfdf228fa8aa703b9b",
+    "seed": 1879131861
+  },
+  {
+    "id": "person-0002-angry",
+    "personality_id": "person-0002",
+    "emotion": "angry",
+    "shard": "pilot-person-0002.tar",
+    "image_offset": 1228800,
+    "image_bytes": 1246070,
+    "image_sha256": "8db18e7d8341e426557fdccd3f20e617a27c7ba396e8fbe4554cc8af0b606f3f",
+    "seed": 1879131861
+  },
+  {
+    "id": "person-0002-joyful",
+    "personality_id": "person-0002",
+    "emotion": "joyful",
+    "shard": "pilot-person-0002.tar",
+    "image_offset": 2481664,
+    "image_bytes": 1251938,
+    "image_sha256": "9d6db4f4f30b9af95ddc0c597f709a51485bfb4aaf5e80f60d7279afb69941e7",
+    "seed": 1879131861
+  },
+  {
+    "id": "person-0002-sad",
+    "personality_id": "person-0002",
+    "emotion": "sad",
+    "shard": "pilot-person-0002.tar",
+    "image_offset": 3740672,
+    "image_bytes": 1247648,
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     "created": "2026-10-06T15:37:17.580870+00:00",
     "uploaded": "2026-10-06T15:38:55.786454+00:00"
+  },
+  {
+    "name": "train-g6-00001.tar",
+    "worker": 6,
+    "count": 20,
+    "bytes": 22128640,
+    "sha256": "82262c79c158beef13f289f72549eed39b266a4be9d43578cd7e3e4faac6d7a1",
+    "status": "uploaded",
+    "revision": "eb216c67a58484f72d21c7968b2a0319b8fa7b97",
+    "created": "2026-10-06T15:50:21.979052+00:00",
+    "uploaded": "2026-10-06T15:50:28.169640+00:00"
+  },
+  {
+    "name": "train-g6-00002.tar",
+    "worker": 6,
+    "count": 20,
+    "bytes": 22528000,
+    "sha256": "402d85ed051c4bcb30411a99289da5afeb450dd7e8662cf018ca619cc3af0771",
+    "status": "uploaded",
+    "revision": "7daa1f36692620220811264d08af725983a58706",
+    "created": "2026-10-06T16:03:26.308275+00:00",
+    "uploaded": "2026-10-06T16:03:32.154637+00:00"
+  },
+  {
+    "name": "train-g7-00000.tar",
+    "worker": 7,
+    "count": 10,
+    "bytes": 11509760,
+    "sha256": "df72d3dbf2d013350940aee2dc3d00d3795c2932675d564f27d174032fd7aa47",
+    "status": "uploaded",
+    "revision": "669bcb0a38b5fd2ee0a85697880ce1bf184349f8",
+    "created": "2026-10-06T15:55:01.765307+00:00",
+    "uploaded": "2026-10-06T15:55:06.114813+00:00"
   }
 ]

metadata/skin-tone-pilot.json

@@ -0,0 +1,214 @@
+{
+  "utc": "2026-10-06T15:57:37.439608+00:00",
+  "id": "person-0436",
+  "reason": "Joyful edit visibly lightens original deep-brown skin; test explicit original tone and fixed exposure/lighting",
+  "before": {
+    "age_group": "younger_senior",
+    "age_months": 0,
+    "age_years": 75,
+    "build": "a compact build",
+    "character_id": "person-0436",
+    "default_emotion": "neutral",
+    "description": "one fictional 75-year-old woman, African-American heritage, deep brown skin, gray a loose braid over one shoulder, a compact build, wearing a ochre cardigan over a cream crew-neck top, brown trousers and closed shoes, fully clothed and age-appropriate. natural adult proportions and a proportionate face, age-appropriate facial lines, clearly visible natural wrinkles",
+    "ethnicity": "african_american",
+    "ethnicity_prompt_label": "African-American",
+    "expressions": [
+      {
+        "emotion": "neutral",
+        "id": "person-0436-neutral",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, exaggerated expression, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, one fictional character, one fictional 75-year-old woman, African-American heritage, deep brown skin, gray a loose braid over one shoulder, a compact build, wearing a ochre cardigan over a cream crew-neck top, brown trousers and closed shoes, fully clothed and age-appropriate. natural adult proportions and a proportionate face, age-appropriate facial lines, clearly visible natural wrinkles. A relaxed neutral expression with a slight friendly smile, facing the viewer. Standing three-quarter portrait, head to thighs, hands and shoulders inside the frame, margin around the silhouette. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Perfectly uniform solid bright chroma green background, no scenery, no props, no shadow or gradient. Clothing contains no green or teal. No text, no logo, no watermark.",
+        "reference_id": "",
+        "seed": 467756987
+      },
+      {
+        "emotion": "joyful",
+        "id": "person-0436-joyful",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show natural joy: an open smiling mouth, raised cheeks and bright happy eyes. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "grateful",
+        "id": "person-0436-grateful",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show warm gratitude: a gentle closed-mouth appreciative smile and softly relaxed eyelids. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "playful",
+        "id": "person-0436-playful",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show gentle playfulness: a small lopsided mischievous grin and one eyebrow slightly raised. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "angry",
+        "id": "person-0436-angry",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "afraid",
+        "id": "person-0436-afraid",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild apprehension: raised inner eyebrows, slightly widened eyes and gently parted lips. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "sad",
+        "id": "person-0436-sad",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show quiet mild sadness: raised inner eyebrows, softly sad eyes and downturned mouth corners. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "annoyed",
+        "id": "person-0436-annoyed",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild annoyance: partly lowered eyelids, one brow lowered and a faint flat line of the lips. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "pain",
+        "id": "person-0436-pain",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show brief mild discomfort: a slight wince, gently narrowed eyes and compressed lips, with no visible injury. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "disgust",
+        "id": "person-0436-disgust",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild distaste: a slight nose wrinkle, subtly raised upper lip and asymmetric downturned mouth. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      }
+    ],
+    "gender": "female",
+    "hair": "gray a loose braid over one shoulder",
+    "outfit": "a ochre cardigan over a cream crew-neck top, brown trousers and closed shoes",
+    "outfit_id": "outfit-01",
+    "outfit_style": "casual_layers",
+    "personality_id": "person-0436",
+    "seed": 467756987,
+    "skin_tone": "deep brown"
+  },
+  "after": {
+    "age_group": "younger_senior",
+    "age_months": 0,
+    "age_years": 75,
+    "build": "a compact build",
+    "character_id": "person-0436",
+    "default_emotion": "neutral",
+    "description": "one fictional 75-year-old woman, African-American heritage, deep brown skin, gray a loose braid over one shoulder, a compact build, wearing a ochre cardigan over a cream crew-neck top, brown trousers and closed shoes, fully clothed and age-appropriate. natural adult proportions and a proportionate face, age-appropriate facial lines, clearly visible natural wrinkles",
+    "ethnicity": "african_american",
+    "ethnicity_prompt_label": "African-American",
+    "expressions": [
+      {
+        "emotion": "neutral",
+        "id": "person-0436-neutral",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, exaggerated expression, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, one fictional character, one fictional 75-year-old woman, African-American heritage, deep brown skin, gray a loose braid over one shoulder, a compact build, wearing a ochre cardigan over a cream crew-neck top, brown trousers and closed shoes, fully clothed and age-appropriate. natural adult proportions and a proportionate face, age-appropriate facial lines, clearly visible natural wrinkles. A relaxed neutral expression with a slight friendly smile, facing the viewer. Standing three-quarter portrait, head to thighs, hands and shoulders inside the frame, margin around the silhouette. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Perfectly uniform solid bright chroma green background, no scenery, no props, no shadow or gradient. Clothing contains no green or teal. No text, no logo, no watermark.",
+        "reference_id": "",
+        "seed": 467756987
+      },
+      {
+        "emotion": "joyful",
+        "id": "person-0436-joyful",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show natural joy: an open smiling mouth, raised cheeks and bright happy eyes. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "grateful",
+        "id": "person-0436-grateful",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show warm gratitude: a gentle closed-mouth appreciative smile and softly relaxed eyelids. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "playful",
+        "id": "person-0436-playful",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show gentle playfulness: a small lopsided mischievous grin and one eyebrow slightly raised. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "angry",
+        "id": "person-0436-angry",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild controlled anger: eyebrows drawn inward and lowered, lips firmly pressed together. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "afraid",
+        "id": "person-0436-afraid",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild apprehension: raised inner eyebrows, slightly widened eyes and gently parted lips. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "sad",
+        "id": "person-0436-sad",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show quiet mild sadness: raised inner eyebrows, softly sad eyes and downturned mouth corners. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "annoyed",
+        "id": "person-0436-annoyed",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild annoyance: partly lowered eyelids, one brow lowered and a faint flat line of the lips. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "pain",
+        "id": "person-0436-pain",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show brief mild discomfort: a slight wince, gently narrowed eyes and compressed lips, with no visible injury. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      },
+      {
+        "emotion": "disgust",
+        "id": "person-0436-disgust",
+        "negative_prompt": "extra people, changed clothing, different hairstyle, text, logo, watermark, background scenery, oversized doll eyes, chibi proportions",
+        "prompt": "vvar_char, edit the reference portrait. Make this exact same fictional 75-year-old person show mild distaste: a slight nose wrinkle, subtly raised upper lip and asymmetric downturned mouth. Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. Keep the original deep brown skin tone exactly, with identical exposure and lighting. Studio Ghibli-inspired grounded coming-of-age animation, delicate expressive hand-drawn lines, rich warm watercolor-like painted shading, gentle luminous colors, restrained almond-shaped eyes and proportionate faces. Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. No scenery, no text, no logo, no watermark.",
+        "reference_id": "person-0436-neutral",
+        "seed": 467756987
+      }
+    ],
+    "gender": "female",
+    "hair": "gray a loose braid over one shoulder",
+    "outfit": "a ochre cardigan over a cream crew-neck top, brown trousers and closed shoes",
+    "outfit_id": "outfit-01",
+    "outfit_style": "casual_layers",
+    "personality_id": "person-0436",
+    "seed": 467756987,
+    "skin_tone": "deep brown"
+  },
+  "revised_shards": [
+    {
+      "shard": "train-g3-00001.tar",
+      "old_sha256": "bbed1b0abb0b1ce27c53d57de30d8d5b21b4985f4d11e8a5fe93b50e83ebb192",
+      "new_sha256": "ceb63d427c4254ee8fa8dbb843ce06d928fbd1bd30e49a5b2f405ec541ed3594"
+    }
+  ]
+}

metadata/skin-tone-prompt-refinement.json

@@ -0,0 +1,465 @@
+{
+  "utc": "2026-10-06T16:06:03.772206+00:00",
+  "reason": "A complete senior reference-edit series showed a lighter face in joyful expression; explicit original skin tone and identical exposure/lighting improved the targeted pilot. Apply to queued people only.",
+  "changed_people": 453,
+  "changed_ids": [
+    "person-0004",
+    "person-0005",
+    "person-0006",
+    "person-0007",
+    "person-0008",
+    "person-0009",
+    "person-0010",
+    "person-0011",
+    "person-0012",
+    "person-0013",
+    "person-0014",
+    "person-0015",
+    "person-0016",
+    "person-0017",
+    "person-0018",
+    "person-0019",
+    "person-0020",
+    "person-0021",
+    "person-0022",
+    "person-0025",
+    "person-0027",
+    "person-0028",
+    "person-0029",
+    "person-0030",
+    "person-0031",
+    "person-0032",
+    "person-0033",
+    "person-0034",
+    "person-0035",
+    "person-0036",
+    "person-0037",
+    "person-0038",
+    "person-0039",
+    "person-0040",
+    "person-0041",
+    "person-0042",
+    "person-0043",
+    "person-0044",
+    "person-0047",
+    "person-0048",
+    "person-0049",
+    "person-0050",
+    "person-0051",
+    "person-0052",
+    "person-0053",
+    "person-0054",
+    "person-0055",
+    "person-0056",
+    "person-0057",
+    "person-0058",
+    "person-0059",
+    "person-0060",
+    "person-0061",
+    "person-0062",
+    "person-0063",
+    "person-0064",
+    "person-0065",
+    "person-0066",
+    "person-0069",
+    "person-0070",
+    "person-0071",
+    "person-0072",
+    "person-0073",
+    "person-0074",
+    "person-0075",
+    "person-0076",
+    "person-0077",
+    "person-0078",
+    "person-0079",
+    "person-0080",
+    "person-0081",
+    "person-0082",
+    "person-0083",
+    "person-0084",
+    "person-0085",
+    "person-0086",
+    "person-0087",
+    "person-0088",
+    "person-0091",
+    "person-0092",
+    "person-0093",
+    "person-0094",
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+  ],
+  "frozen_started_people": 47,
+  "before_sha256": "738e3566ad6a7b9b3b891f3e805f6ffc87a77bd466dda4d366b226b95bab6587",
+  "after_sha256": "c47223e4803afa96a8719c5a5bcf6c34a8ad13e8c59978f08b17feee30d74b6e",
+  "neutral_prompts_unchanged": true,
+  "seed_settings_outfit_unchanged": true
+}

tools/plan_character_production.py

@@ -102,6 +102,7 @@ def prompt(person,emotion,reference=False):
         text=(f'vvar_char, edit the reference portrait. Make this exact same fictional {age} show {expression}. '
               'Change the mouth, eyebrows and eyelids so this mild natural emotion is clearly visible. '
               'Preserve exact identity, face shape, skin tone, hair, clothing, pose and framing. '
+              f'Keep the original {person["skin_tone"]} skin tone exactly, with identical exposure and lighting. '
               f'{CHARACTER_STYLE} Fully clothed, age-appropriate. Perfectly uniform solid bright chroma green background. '
               'No scenery, no text, no logo, no watermark.')
     return text