auto-save 2026-05-18 00:07 (~3)

.memory/worklog.json

@@ -1,18 +1,5 @@
 {
   "entries": [
-    {
-      "files_changed": 1,
-      "message": "Codex 会话活跃 · 最近命令：codex · 1 项未提交变更 · 最近提交：auto-save 2026-05-15 15:04 (~8)",
-      "ts": "2026-05-15T07:04:46Z",
-      "type": "session-heartbeat"
-    },
-    {
-      "files_changed": 2,
-      "hash": "8bdb797",
-      "message": "auto-save 2026-05-15 15:10 (~2)",
-      "ts": "2026-05-15T15:10:14+08:00",
-      "type": "commit"
-    },
     {
       "files_changed": 4,
       "message": "Codex 会话活跃 · 最近命令：codex · 4 项未提交变更 · 最近提交：auto-save 2026-05-15 15:10 (~2)",
@@ -3258,6 +3245,19 @@
       "type": "session-heartbeat",
       "message": "Codex 会话活跃 · 最近命令：codex · 分支 main · 1 项未提交变更 · 最近提交：auto-save 2026-05-17 23:46 (~2)",
       "files_changed": 1
+    },
+    {
+      "ts": "2026-05-17T23:56:54+08:00",
+      "type": "commit",
+      "message": "auto-save 2026-05-17 23:56 (~2)",
+      "hash": "7c51ff2",
+      "files_changed": 2
+    },
+    {
+      "ts": "2026-05-17T15:58:31Z",
+      "type": "session-heartbeat",
+      "message": "Codex 会话活跃 · 最近命令：codex · 分支 main · 1 项未提交变更 · 最近提交：auto-save 2026-05-17 23:56 (~2)",
+      "files_changed": 1
     }
   ]
 }

api/main.py

@@ -51,6 +51,15 @@ TRANSLATE_MODEL = os.getenv("TRANSLATE_MODEL", "gemini-2.5-flash")
 REWRITE_MODEL = os.getenv("REWRITE_MODEL", "gemini-2.5-pro")
 VISION_MODEL = os.getenv("VISION_MODEL", "gemini-2.5-flash")
 IMAGE_MODEL = os.getenv("IMAGE_MODEL", "gemini-3-pro-image-preview")
+GPT_IMAGE_MODEL = os.getenv("GPT_IMAGE_MODEL", "gpt-image-2").strip() or "gpt-image-2"
+SUBJECT_ASSET_IMAGE_MODEL = os.getenv("SUBJECT_ASSET_IMAGE_MODEL", GPT_IMAGE_MODEL).strip() or GPT_IMAGE_MODEL
+SUBJECT_ASSET_IMAGE_MODELS = [
+    m.strip()
+    for m in os.getenv("SUBJECT_ASSET_IMAGE_MODELS", f"{SUBJECT_ASSET_IMAGE_MODEL},gpt-image-1.5").split(",")
+    if m.strip()
+]
+if SUBJECT_ASSET_IMAGE_MODEL not in SUBJECT_ASSET_IMAGE_MODELS:
+    SUBJECT_ASSET_IMAGE_MODELS.insert(0, SUBJECT_ASSET_IMAGE_MODEL)
 PRODUCT_ASSET_MAX_SIDE = max(1024, int(os.getenv("PRODUCT_ASSET_MAX_SIDE", "1600")))
 PRODUCT_ASSET_MIN_LONG_SIDE = max(512, int(os.getenv("PRODUCT_ASSET_MIN_LONG_SIDE", "900")))
 PRODUCT_ASSET_MIN_SHORT_SIDE = max(320, int(os.getenv("PRODUCT_ASSET_MIN_SHORT_SIDE", "600")))
@@ -2753,6 +2762,8 @@ def health() -> dict:
             "vision": VISION_MODEL,
             "image": IMAGE_MODEL,
             "image_fallbacks": [IMAGE_MODEL, "gemini-3.1-flash-image-preview", "gemini-2.5-flash-image"],
+            "subject_image": SUBJECT_ASSET_IMAGE_MODEL,
+            "subject_image_fallbacks": SUBJECT_ASSET_IMAGE_MODELS,
             "minimax_tts": MINIMAX_TTS_MODEL,
             "minimax_voice": MINIMAX_TTS_VOICE_ID,
             "minimax_voice_pool": MINIMAX_TTS_VOICE_POOL or [MINIMAX_TTS_VOICE_ID],
@@ -3904,7 +3915,7 @@ def generate_subject_assets(job_id: str, idx: int, element_id: str, req: Generat
         "If user direction requests a gender, age, or style change, apply that one change uniformly to all views; never mix male/female, young/old, or multiple style identities inside the same six-view pack. "
         "For transparent humanoids, keep the same transparent skin shell, skeleton proportions, visible spine/rib cage/pelvis/limb bones, and non-horror wellness character style in every view. "
     )
-    models = [IMAGE_MODEL, "gemini-3.1-flash-image-preview", "gemini-2.5-flash-image"]
+    models = SUBJECT_ASSET_IMAGE_MODELS
     generated: list[SubjectAsset] = []
     try:
         for view, view_label in _subject_view_labels(req.subject_kind, req.views):

web/lib/api.ts

@@ -144,6 +144,8 @@ export interface RuntimeModels {
   vision?: string
   image?: string
   image_fallbacks?: string[]
+  subject_image?: string
+  subject_image_fallbacks?: string[]
   minimax_tts?: string
   minimax_voice?: string
   minimax_voice_pool?: string[]