fix(metadata-sync): downgrade "Model not found" to INFO and replace model_name with file+sha256 in log

- Fix JXL container ftyp size check (==20 → >=16) to accept
  wider range of valid JXL files
- Add brotli decompression size limit (2 MB) to prevent OOM
- Add trailing newline to requirements.txt
- Add unit tests for new ISOBMFF/brotli extraction paths:
  JXL/AVIF happy paths, missing brob, corrupt payload,
  non-ISOBMFF fallthrough, write-skip on AVIF/JXL,
  JSON dict/list fields, and oversized decompression

.gitignore

@@ -12,12 +12,14 @@ coverage/
 .coverage
 model_cache/
 
-# agent
+# agent / dev tooling
 .opencode/
 .claude/
 .sisyphus/
 .codex
 .omo
+reasonix.toml
+.codegraph/
 
 # Vue widgets development cache (but keep build output)
 vue-widgets/node_modules/

README.md

@@ -185,12 +185,25 @@ The Save Image Node supports dynamic filename generation using pattern codes. Yo
 
 #### Available Pattern Codes
 
+##### Cross-Node Placeholders (ComfyUI Standard)
+
+- `%NodeTitle.WidgetName%` - Reference any widget value from any node in your workflow, for example:
+  - `%KSampler.seed%` - The seed from a KSampler node
+  - `%Empty Latent Image.width%` - The width from an Empty Latent Image node
+  - `%KSampler.steps%` - The steps value from a KSampler node
+  - Nodes are matched by their "Node name for S&R" property, then by their title
+
+##### Generation Metadata Placeholders (LoRA Manager)
+
 - `%seed%` - Inserts the generation seed number
 - `%width%` - Inserts the image width
 - `%height%` - Inserts the image height
 - `%pprompt:N%` - Inserts the positive prompt (limited to N characters)
 - `%nprompt:N%` - Inserts the negative prompt (limited to N characters)
 - `%model:N%` - Inserts the model/checkpoint name (limited to N characters)
+
+##### Date/Time Placeholders
+
 - `%date%` - Inserts current date/time as "yyyyMMddhhmmss"
 - `%date:FORMAT%` - Inserts date using custom format with:
   - `yyyy` - 4-digit year
@@ -209,8 +222,25 @@ The Save Image Node supports dynamic filename generation using pattern codes. Yo
 - `%date:yyyy-MM-dd%` → `2025-04-28`
 - `%pprompt:20%_%seed%` → `beautiful landscape_1234567890`
 - `%model%_%date:yyMMdd%_%seed%` → `dreamshaper_v8_250428_1234567890`
+- `%KSampler.seed%` → `1234567890` (resolved from the KSampler node's widget)
+- `%Empty Latent Image.width%x%Empty Latent Image.height%` → `512x768`
+- `%KSampler.seed%_%KSampler.steps%` → `1234567890_25`
 
-You can combine multiple patterns to create detailed, organized filenames for your generated images.
+You can combine multiple patterns to create detailed, organized filenames for your generated images. Cross-node and metadata placeholders can be mixed freely — for example: `%KSampler.seed%_%model%_%date:yyyyMMdd%`.
+
+##### Organizing Images into Subdirectories
+
+Including a path separator (`/` on all platforms) in the filename prefix creates subdirectories automatically, which is especially powerful when combined with placeholders:
+
+| Pattern | Result |
+|---|---|
+| `%date:yyyy-MM-dd%/%seed%` | Saves to `2025-04-28/1234567890.png` |
+| `%model%/%date:yyMMdd%_%seed%` | Saves to `dreamshaper_v8/250428_1234567890.png` |
+| `%KSampler.seed%/%model%` | Saves to `1234567890/dreamshaper_v8.png` |
+| `%date:yyyy/MM/dd%/%seed%` | Saves to `2025/04/28/1234567890.png` (nested year/month/day) |
+| `%model%/training/%seed%` | Saves to `dreamshaper_v8/training/1234567890.png` |
+
+> **Note**: The subdirectory is created relative to your ComfyUI output directory (configurable via `--output-directory`). Characters invalid for folder names are automatically replaced with underscores.
 
 ### Standalone Mode
 

locales/de.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "Version gelöscht"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "Metadaten abrufen — Zusammenfassung",
+            "statSuccess": "Erfolgreich",
+            "statFailed": "Fehlgeschlagen",
+            "statSkipped": "Übersprungen",
+            "statTotal": "Gesamt geprüft",
+            "statDuration": "Dauer",
+            "successMessage": "Alle {count} {type}s erfolgreich aktualisiert!",
+            "failedItems": "Fehlgeschlagene Elemente ({count})",
+            "close": "Schließen",
+            "copyReport": "Bericht kopieren",
+            "downloadCsv": "CSV herunterladen",
+            "columnModelName": "Modellname",
+            "columnError": "Fehler"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "{successCount} {type}s erfolgreich verschoben",
             "exampleImagesDownloadSuccess": "Beispielbilder erfolgreich heruntergeladen!",
             "exampleImagesDownloadFailed": "Fehler beim Herunterladen der Beispielbilder: {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "In die Zwischenablage kopiert",
+            "downloadStarted": "Download gestartet"
         }
     },
     "doctor": {

locales/en.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "Version deleted"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "Metadata Fetch Summary",
+            "statSuccess": "Success",
+            "statFailed": "Failed",
+            "statSkipped": "Skipped",
+            "statTotal": "Total Scanned",
+            "statDuration": "Duration",
+            "successMessage": "All {count} {type}s updated successfully!",
+            "failedItems": "Failed Items ({count})",
+            "close": "Close",
+            "copyReport": "Copy Report",
+            "downloadCsv": "Download CSV",
+            "columnModelName": "Model Name",
+            "columnError": "Error"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "Successfully moved {successCount} {type}s",
             "exampleImagesDownloadSuccess": "Successfully downloaded example images!",
             "exampleImagesDownloadFailed": "Failed to download example images: {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "Copied to clipboard",
+            "downloadStarted": "Download started"
         }
     },
     "doctor": {
@@ -2052,4 +2069,4 @@
             "retry": "Retry"
         }
     }
-}
+}

locales/es.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "Versión eliminada"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "Resumen de obtención de metadatos",
+            "statSuccess": "Éxito",
+            "statFailed": "Fallido",
+            "statSkipped": "Omitido",
+            "statTotal": "Total escaneado",
+            "statDuration": "Duración",
+            "successMessage": "¡Todos los {count} {type}s actualizados correctamente!",
+            "failedItems": "Elementos fallidos ({count})",
+            "close": "Cerrar",
+            "copyReport": "Copiar informe",
+            "downloadCsv": "Descargar CSV",
+            "columnModelName": "Nombre del modelo",
+            "columnError": "Error"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "Movidos exitosamente {successCount} {type}s",
             "exampleImagesDownloadSuccess": "¡Imágenes de ejemplo descargadas exitosamente!",
             "exampleImagesDownloadFailed": "Error al descargar imágenes de ejemplo: {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "Copiado al portapapeles",
+            "downloadStarted": "Descarga iniciada"
         }
     },
     "doctor": {

locales/fr.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "Version supprimée"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "Récapitulatif de la récupération des métadonnées",
+            "statSuccess": "Réussi",
+            "statFailed": "Échoué",
+            "statSkipped": "Ignoré",
+            "statTotal": "Total scanné",
+            "statDuration": "Durée",
+            "successMessage": "Tous les {count} {type}s mis à jour avec succès !",
+            "failedItems": "Éléments échoués ({count})",
+            "close": "Fermer",
+            "copyReport": "Copier le rapport",
+            "downloadCsv": "Télécharger CSV",
+            "columnModelName": "Nom du modèle",
+            "columnError": "Erreur"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "{successCount} {type}s déplacés avec succès",
             "exampleImagesDownloadSuccess": "Images d'exemple téléchargées avec succès !",
             "exampleImagesDownloadFailed": "Échec du téléchargement des images d'exemple : {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "Copié dans le presse-papiers",
+            "downloadStarted": "Téléchargement démarré"
         }
     },
     "doctor": {

locales/he.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "הגרסה נמחקה"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "סיכום שליפת מטא-דאטה",
+            "statSuccess": "הצלחה",
+            "statFailed": "נכשל",
+            "statSkipped": "דולג",
+            "statTotal": "סה\"כ נסרק",
+            "statDuration": "משך",
+            "successMessage": "כל {count} {type}s עודכנו בהצלחה!",
+            "failedItems": "פריטים נכשלים ({count})",
+            "close": "סגור",
+            "copyReport": "העתק דוח",
+            "downloadCsv": "הורד CSV",
+            "columnModelName": "שם המודל",
+            "columnError": "שגיאה"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "הועברו בהצלחה {successCount} {type}s",
             "exampleImagesDownloadSuccess": "תמונות הדוגמה הורדו בהצלחה!",
             "exampleImagesDownloadFailed": "הורדת תמונות הדוגמה נכשלה: {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "הועתק ללוח",
+            "downloadStarted": "ההורדה החלה"
         }
     },
     "doctor": {

locales/ja.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "バージョンを削除しました"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "メタデータ取得サマリー",
+            "statSuccess": "成功",
+            "statFailed": "失敗",
+            "statSkipped": "スキップ",
+            "statTotal": "スキャン合計",
+            "statDuration": "所要時間",
+            "successMessage": "すべての{count}件の{type}を正常に更新しました",
+            "failedItems": "失敗したアイテム ({count})",
+            "close": "閉じる",
+            "copyReport": "レポートをコピー",
+            "downloadCsv": "CSVをダウンロード",
+            "columnModelName": "モデル名",
+            "columnError": "エラー"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "{successCount} {type}が正常に移動されました",
             "exampleImagesDownloadSuccess": "例画像が正常にダウンロードされました！",
             "exampleImagesDownloadFailed": "例画像のダウンロードに失敗しました：{message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "クリップボードにコピーしました",
+            "downloadStarted": "ダウンロードを開始しました"
         }
     },
     "doctor": {

locales/ko.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "버전이 삭제되었습니다"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "메타데이터 가져오기 요약",
+            "statSuccess": "성공",
+            "statFailed": "실패",
+            "statSkipped": "건너뜀",
+            "statTotal": "총 스캔",
+            "statDuration": "소요 시간",
+            "successMessage": "모든 {count}개 {type}이(가) 성공적으로 업데이트되었습니다",
+            "failedItems": "실패한 항목 ({count})",
+            "close": "닫기",
+            "copyReport": "보고서 복사",
+            "downloadCsv": "CSV 다운로드",
+            "columnModelName": "모델 이름",
+            "columnError": "오류"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "{successCount}개 {type}이(가) 성공적으로 이동되었습니다",
             "exampleImagesDownloadSuccess": "예시 이미지가 성공적으로 다운로드되었습니다!",
             "exampleImagesDownloadFailed": "예시 이미지 다운로드 실패: {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "클립보드에 복사됨",
+            "downloadStarted": "다운로드 시작됨"
         }
     },
     "doctor": {

locales/ru.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "Версия удалена"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "Сводка получения метаданных",
+            "statSuccess": "Успешно",
+            "statFailed": "Ошибка",
+            "statSkipped": "Пропущено",
+            "statTotal": "Всего проверено",
+            "statDuration": "Длительность",
+            "successMessage": "Все {count} {type}s успешно обновлены",
+            "failedItems": "Ошибочные элементы ({count})",
+            "close": "Закрыть",
+            "copyReport": "Копировать отчет",
+            "downloadCsv": "Скачать CSV",
+            "columnModelName": "Имя модели",
+            "columnError": "Ошибка"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "Успешно перемещено {successCount} {type}s",
             "exampleImagesDownloadSuccess": "Примеры изображений успешно загружены!",
             "exampleImagesDownloadFailed": "Не удалось загрузить примеры изображений: {message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "Скопировано в буфер обмена",
+            "downloadStarted": "Загрузка начата"
         }
     },
     "doctor": {

locales/zh-CN.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "版本已删除"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "元数据获取摘要",
+            "statSuccess": "成功",
+            "statFailed": "失败",
+            "statSkipped": "已跳过",
+            "statTotal": "总计扫描",
+            "statDuration": "耗时",
+            "successMessage": "全部 {count} 个 {type} 更新成功！",
+            "failedItems": "失败项目 ({count})",
+            "close": "关闭",
+            "copyReport": "复制报告",
+            "downloadCsv": "下载 CSV",
+            "columnModelName": "模型名称",
+            "columnError": "错误"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "成功移动 {successCount} 个 {type}",
             "exampleImagesDownloadSuccess": "示例图片下载成功！",
             "exampleImagesDownloadFailed": "示例图片下载失败：{message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "已复制到剪贴板",
+            "downloadStarted": "下载已开始"
         }
     },
     "doctor": {

locales/zh-TW.json

@@ -1398,6 +1398,21 @@
                     "versionDeleted": "已刪除此版本"
                 }
             }
+        },
+        "metadataFetchSummary": {
+            "title": "元資料獲取摘要",
+            "statSuccess": "成功",
+            "statFailed": "失敗",
+            "statSkipped": "已跳過",
+            "statTotal": "總計掃描",
+            "statDuration": "耗時",
+            "successMessage": "全部 {count} 個 {type} 更新成功！",
+            "failedItems": "失敗項目 ({count})",
+            "close": "關閉",
+            "copyReport": "複製報告",
+            "downloadCsv": "下載 CSV",
+            "columnModelName": "模型名稱",
+            "columnError": "錯誤"
         }
     },
     "modelTags": {
@@ -1957,7 +1972,9 @@
             "bulkMoveSuccess": "已成功移動 {successCount} 個 {type}",
             "exampleImagesDownloadSuccess": "範例圖片下載成功！",
             "exampleImagesDownloadFailed": "下載範例圖片失敗：{message}",
-            "moveFailed": "Failed to move item: {message}"
+            "moveFailed": "Failed to move item: {message}",
+            "copiedToClipboard": "已複製到剪貼簿",
+            "downloadStarted": "下載已開始"
         }
     },
     "doctor": {

py/lora_manager.py

@@ -436,5 +436,14 @@ class LoraManager:
         try:
             logger.info("LoRA Manager: Cleaning up services")
 
+            # Cancel any in-flight scanner initialization tasks so thread-pool
+            # workers (e.g. _initialize_cache_sync) can break out of their loops
+            # when the server shuts down (e.g. Ctrl+C on WSL).
+            for name in ("lora_scanner", "checkpoint_scanner", "embedding_scanner"):
+                scanner = ServiceRegistry.get_service_sync(name)
+                if scanner is not None and hasattr(scanner, "cancel_task"):
+                    scanner.cancel_task()
+                    logger.debug("LoRA Manager: Cancelled %s", name)
+
         except Exception as e:
             logger.error(f"Error during cleanup: {e}", exc_info=True)

py/middleware/cache_middleware.py

@@ -16,6 +16,8 @@ IMG_EXTENSIONS = (
     ".tif",
     ".tiff",
     ".webp",
+    ".avif",
+    ".jxl",
     ".mp4"
 )
 

py/nodes/save_image.py

@@ -298,7 +298,12 @@ class SaveImageLM:
             key = parts[0]
 
             if key == "seed" and "seed" in metadata_dict:
-                filename = filename.replace(segment, str(metadata_dict.get("seed", "")))
+                seed_value = metadata_dict.get("seed")
+                if seed_value is not None:
+                    filename = filename.replace(segment, str(seed_value))
+                else:
+                    # Fallback if seed was not captured by metadata collector
+                    filename = filename.replace(segment, "0")
             elif key == "width" and "size" in metadata_dict:
                 size = metadata_dict.get("size", "x")
                 w = size.split("x")[0] if isinstance(size, str) else size[0]

py/services/metadata_sync_service.py

@@ -216,13 +216,19 @@ class MetadataSyncService:
             provider_used: Optional[str] = None
             last_error: Optional[str] = None
             civitai_api_not_found = False
+            any_rate_limited = False
 
             for provider_name, provider in provider_attempts:
                 try:
                     civitai_metadata_candidate, error = await provider.get_model_by_hash(sha256)
                 except RateLimitError as exc:
-                    exc.provider = exc.provider or (provider_name or provider.__class__.__name__)
-                    raise
+                    logger.warning(
+                        "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                        provider_name or provider.__class__.__name__,
+                        exc.retry_after or 0,
+                    )
+                    any_rate_limited = True
+                    continue
                 except Exception as exc:  # pragma: no cover - defensive logging
                     logger.error("Provider %s failed for hash %s: %s", provider_name, sha256, exc)
                     civitai_metadata_candidate, error = None, str(exc)
@@ -276,14 +282,17 @@ class MetadataSyncService:
                 )
 
                 resolved_error = last_error or default_error
+                if any_rate_limited and "Rate limited" not in resolved_error:
+                    resolved_error = "Rate limited"
                 if is_expected_offline_error(resolved_error):
                     resolved_error = OFFLINE_FRIENDLY_MESSAGE
 
                 error_msg = (
                     f"Error fetching metadata: {resolved_error} "
-                    f"(model_name={model_data.get('model_name', '')})"
+                    f"(file={os.path.basename(file_path)}, sha256={sha256})"
                 )
-                if is_expected_offline_error(resolved_error):
+                is_model_not_found = "Model not found" in resolved_error
+                if is_expected_offline_error(resolved_error) or is_model_not_found:
                     logger.info(error_msg)
                 else:
                     logger.error(error_msg)

py/services/model_metadata_provider.py

@@ -65,7 +65,14 @@ class _RateLimitRetryHelper:
                 return await func(*args, **kwargs)
             except RateLimitError as exc:
                 attempt += 1
-                if attempt >= self._retry_limit:
+
+                # Determine effective retry limit based on rate-limit magnitude
+                effective_retry_limit = self._retry_limit  # default: 3
+                if exc.retry_after is not None and exc.retry_after >= 120.0:
+                    # Long rate-limit window (>=2 min) — retries are futile
+                    effective_retry_limit = 1  # total 1 attempt = 0 retries
+
+                if attempt >= effective_retry_limit:
                     exc.provider = exc.provider or label
                     raise
 
@@ -478,8 +485,12 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                 if result:
                     return result, error
             except RateLimitError as exc:
-                exc.provider = exc.provider or label
-                raise exc
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
             except Exception as e:
                 logger.debug("Provider %s failed for get_model_by_hash: %s", label, e)
                 continue
@@ -497,16 +508,12 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                 if result:
                     return result
             except RateLimitError as exc:
-                if not_found_confirmed:
-                    logger.debug(
-                        "Suppressing rate limit from %s for model %s: "
-                        "already confirmed as not found by another provider",
-                        label,
-                        model_id,
-                    )
-                    return None
-                exc.provider = exc.provider or label
-                raise exc
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
             except ResourceNotFoundError:
                 not_found_confirmed = True
                 logger.debug(
@@ -532,8 +539,12 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                 if result:
                     return result
             except RateLimitError as exc:
-                exc.provider = exc.provider or label
-                raise exc
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
             except Exception as e:
                 logger.debug("Provider %s failed for get_model_version: %s", label, e)
                 continue
@@ -550,8 +561,12 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                 if result:
                     return result, error
             except RateLimitError as exc:
-                exc.provider = exc.provider or label
-                raise exc
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
             except Exception as e:
                 logger.debug("Provider %s failed for get_model_version_info: %s", label, e)
                 continue
@@ -572,8 +587,12 @@ class FallbackMetadataProvider(ModelMetadataProvider):
             except NotImplementedError:
                 continue
             except RateLimitError as exc:
-                exc.provider = exc.provider or label
-                raise exc
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
             except Exception as e:
                 logger.debug(
                     "Provider %s failed for get_model_versions_by_hashes: %s",
@@ -594,8 +613,12 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                 if result is not None:
                     return result
             except RateLimitError as exc:
-                exc.provider = exc.provider or label
-                raise exc
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); skipping to next provider",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
             except Exception as e:
                 logger.debug("Provider %s failed for get_user_models: %s", label, e)
                 continue

py/services/model_scanner.py

@@ -1067,8 +1067,11 @@ class ModelScanner:
 
         model_data = self._build_cache_entry(metadata, folder=normalized_folder)
 
-        # Compute SHA256 hash when metadata provided none (e.g., CivitAI API response has empty hashes)
-        if not model_data.get('sha256') and file_path:
+        # Compute SHA256 hash when metadata provided none (e.g., CivitAI API response has empty hashes).
+        # Respect hash_status='pending' (set by CheckpointScanner for large models) to defer
+        # hash calculation until on-demand — avoids reading entire checkpoint files at startup.
+        hash_status = model_data.get('hash_status', '')
+        if not model_data.get('sha256') and hash_status != 'pending' and file_path:
             try:
                 logger.info(f"Computing SHA256 hash for {file_path} (was empty from metadata)")
                 sha256 = await calculate_sha256(file_path)

py/services/use_cases/bulk_metadata_refresh_use_case.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import logging
+import time
 from typing import Any, Dict, List, Optional, Protocol, Sequence
 
 from ..metadata_sync_service import MetadataSyncService
@@ -62,26 +63,48 @@ class BulkMetadataRefreshUseCase:
         ]
 
         total_to_process = len(to_process)
+        initial_skipped = total_models - total_to_process  # models excluded from fetch queue
         processed = 0
         success = 0
+        skipped_count = initial_skipped
+        handled_count = initial_skipped
         needs_resort = False
+        start_time = time.monotonic()
+        failures: List[Dict[str, str]] = []
 
         self._service.scanner.reset_cancellation()
 
         async def emit(status: str, **extra: Any) -> None:
             if progress_callback is None:
                 return
-            payload = {"status": status, "total": total_to_process, "processed": processed, "success": success}
+            payload = {
+                "status": status,
+                "total": total_models,
+                "processed": processed,
+                "success": success,
+                "failure_count": len(failures),
+                "skipped_count": skipped_count,
+                "handled": handled_count,
+                "elapsed_seconds": int(time.monotonic() - start_time),
+            }
+            # Only include full failure details in terminal emits (completed,
+            # cancelled, rate_limited) to avoid serializing the list on every
+            # per-model progress update.
+            if failures and status in ("completed", "cancelled", "rate_limited"):
+                payload["failures"] = failures
             payload.update(extra)
             await progress_callback.on_progress(payload)
 
         await emit("started")
 
+        RATE_LIMIT_ABORT_THRESHOLD = 3
+        consecutive_rate_limits = 0
+
         for model in to_process:
             if self._service.scanner.is_cancelled():
                 self._logger.info("Bulk metadata refresh cancelled by user")
                 await emit("cancelled", processed=processed, success=success)
-                return {"success": False, "message": "Operation cancelled", "processed": processed, "updated": success, "total": total_models}
+                return {"success": False, "message": "Operation cancelled", "processed": processed, "updated": success, "total": total_models, "failures": failures, "failure_count": len(failures), "skipped_count": skipped_count, "elapsed_seconds": int(time.monotonic() - start_time)}
             try:
                 original_name = model.get("model_name")
 
@@ -101,31 +124,76 @@ class BulkMetadataRefreshUseCase:
                             model["hash_status"] = "completed"
                         else:
                             self._logger.error(f"Failed to calculate hash for {file_path}")
+                            failures.append({"name": model.get("model_name", file_path or "Unknown"), "error": "Failed to calculate hash"})
                             processed += 1
+                            handled_count += 1
                             continue
                     else:
                         self._logger.warning(f"Scanner does not support lazy hash calculation for {file_path}")
+                        skipped_count += 1
                         processed += 1
+                        handled_count += 1
                         continue
 
                 # Skip models without valid hash
                 if not model.get("sha256"):
                     self._logger.warning(f"Skipping model without hash: {file_path}")
+                    skipped_count += 1
                     processed += 1
+                    handled_count += 1
                     continue
 
                 await MetadataManager.hydrate_model_data(model)
-                result, _ = await self._metadata_sync.fetch_and_update_model(
+                result, error_msg = await self._metadata_sync.fetch_and_update_model(
                     sha256=model["sha256"],
                     file_path=model["file_path"],
                     model_data=model,
                     update_cache_func=self._service.scanner.update_single_model_cache,
                 )
+
+                if not result and error_msg and "Rate limited" in error_msg:
+                    consecutive_rate_limits += 1
+                else:
+                    consecutive_rate_limits = 0
+
+                if not result:
+                    current_name = model.get("model_name", file_path or "Unknown")
+                    failures.append({"name": current_name, "error": error_msg or "Unknown error"})
+                    self._logger.warning("Failed to fetch metadata for %s: %s", current_name, error_msg)
+
+                if consecutive_rate_limits >= RATE_LIMIT_ABORT_THRESHOLD:
+                    # The current model was attempted and failed due to rate limiting;
+                    # count it before aborting so the summary is consistent.
+                    processed += 1
+                    handled_count += 1
+                    self._logger.warning(
+                        "Bulk metadata refresh aborted: %d consecutive rate limits detected. "
+                        "Processed %d/%d models.",
+                        consecutive_rate_limits,
+                        processed,
+                        total_to_process,
+                    )
+                    await emit(
+                        "rate_limited",
+                    )
+                    return {
+                        "success": False,
+                        "message": f"Rate limit detected; {total_to_process - processed} models skipped",
+                        "processed": processed,
+                        "updated": success,
+                        "total": total_models,
+                        "failures": failures,
+                        "failure_count": len(failures),
+                        "skipped_count": skipped_count,
+                        "elapsed_seconds": int(time.monotonic() - start_time),
+                    }
+
                 if result:
                     success += 1
                     if original_name != model.get("model_name"):
                         needs_resort = True
                 processed += 1
+                handled_count += 1
                 await emit(
                     "processing",
                     processed=processed,
@@ -134,6 +202,9 @@ class BulkMetadataRefreshUseCase:
                 )
             except Exception as exc:  # pragma: no cover - logging path
                 processed += 1
+                handled_count += 1
+                current_name = model.get("model_name", model.get("file_path", "Unknown"))
+                failures.append({"name": current_name, "error": str(exc)})
                 self._logger.error(
                     "Error fetching CivitAI data for %s: %s",
                     model.get("file_path"),
@@ -150,7 +221,7 @@ class BulkMetadataRefreshUseCase:
             f"{success} of {processed} processed {self._service.model_type}s (total: {total_models})"
         )
 
-        return {"success": True, "message": message, "processed": processed, "updated": success, "total": total_models}
+        return {"success": True, "message": message, "processed": processed, "updated": success, "total": total_models, "failures": failures, "failure_count": len(failures), "skipped_count": skipped_count, "elapsed_seconds": int(time.monotonic() - start_time)}
 
     @staticmethod
     def _is_in_skip_path(folder: str, skip_paths: List[str]) -> bool:

py/utils/constants.py

@@ -31,6 +31,8 @@ PREVIEW_EXTENSIONS = [
     ".mp4",
     ".gif",
     ".webm",
+    ".avif",
+    ".jxl",
 ]
 
 # Card preview image width
@@ -41,7 +43,7 @@ EXAMPLE_IMAGE_WIDTH = 832
 
 # Supported media extensions for example downloads
 SUPPORTED_MEDIA_EXTENSIONS = {
-    "images": [".jpg", ".jpeg", ".png", ".webp", ".gif"],
+    "images": [".jpg", ".jpeg", ".png", ".webp", ".gif", ".avif", ".jxl"],
     "videos": [".mp4", ".webm"],
 }
 

py/utils/example_images_processor.py

@@ -62,6 +62,10 @@ class ExampleImagesProcessor:
                 return '.gif'
             elif content.startswith(b'RIFF') and b'WEBP' in content[:12]:
                 return '.webp'
+            elif len(content) >= 12 and content[4:8] == b'ftyp' and b'avif' in content[8:24]:
+                return '.avif'
+            elif content.startswith(b'\x00\x00\x00\x0cJXL \x0d\x0a\x87\x0a'):
+                return '.jxl'
             elif content.startswith(b'\x00\x00\x00\x18ftypmp4') or content.startswith(b'\x00\x00\x00\x20ftypmp4'):
                 return '.mp4'
             elif content.startswith(b'\x1A\x45\xDF\xA3'):
@@ -75,6 +79,8 @@ class ExampleImagesProcessor:
                 'image/png': '.png',
                 'image/gif': '.gif',
                 'image/webp': '.webp',
+                'image/avif': '.avif',
+                'image/jxl': '.jxl',
                 'video/mp4': '.mp4',
                 'video/webm': '.webm',
                 'video/quicktime': '.mov'

py/utils/exif_utils.py

@@ -1,17 +1,125 @@
 import json
 import logging
 import os
+import struct
 from io import BytesIO
 from typing import Any, Optional
 
 import piexif
 from PIL import Image, PngImagePlugin
 
+try:
+    import brotli
+    _BROTLI_AVAILABLE = True
+except ImportError:
+    brotli = None
+    _BROTLI_AVAILABLE = False
+
 logger = logging.getLogger(__name__)
 
 class ExifUtils:
     """Utility functions for working with EXIF data in images"""
 
+    @staticmethod
+    def _parse_isobmff_boxes(data: bytes, offset: int = 0) -> list[dict]:
+        boxes = []
+        while offset + 8 <= len(data):
+            size = struct.unpack('>I', data[offset:offset + 4])[0]
+            box_type = data[offset + 4:offset + 8]
+            if size == 0:
+                break
+            if size < 8 or offset + size > len(data):
+                break
+            box_data = data[offset + 8:offset + size]
+            boxes.append({'type': box_type, 'data': box_data, 'size': size})
+            offset += size
+        return boxes
+
+    @staticmethod
+    def _is_jxl_container(data: bytes) -> bool:
+        if len(data) < 32:
+            return False
+        return (
+            struct.unpack('>I', data[:4])[0] == 12
+            and data[4:8] == b'JXL '
+            and data[8:12] == bytes([0x0d, 0x0a, 0x87, 0x0a])
+            and struct.unpack('>I', data[12:16])[0] >= 16
+            and data[16:20] == b'ftyp'
+            and data[20:24] == b'jxl '
+        )
+
+    @staticmethod
+    def _is_avif_container(data: bytes) -> bool:
+        if len(data) < 16:
+            return False
+        for box in ExifUtils._parse_isobmff_boxes(data):
+            if box['type'] == b'ftyp' and b'avif' in box['data']:
+                return True
+        return False
+
+    # Max decompressed size for brotli metadata (2 MB)
+    _BROTLI_MAX_DECOMPRESSED = 2 * 1024 * 1024
+
+    @staticmethod
+    def _extract_isobmff_brotli(image_path: str) -> Optional[dict]:
+        try:
+            with open(image_path, 'rb') as f:
+                data = f.read()
+        except Exception:
+            return None
+
+        if ExifUtils._is_jxl_container(data):
+            boxes = ExifUtils._parse_isobmff_boxes(data, offset=12)
+        elif ExifUtils._is_avif_container(data):
+            boxes = ExifUtils._parse_isobmff_boxes(data)
+        else:
+            return None
+
+        brob = None
+        for box in boxes:
+            if box['type'] == b'brob':
+                brob = box
+                break
+        if brob is None:
+            return None
+
+        payload = brob['data']
+        if payload[:4] != b'comf':
+            return None
+        compressed = payload[4:]
+
+        if _BROTLI_AVAILABLE:
+            try:
+                decompressed = brotli.decompress(compressed)
+                if len(decompressed) > ExifUtils._BROTLI_MAX_DECOMPRESSED:
+                    logger.warning(
+                        "Brotli metadata too large (%d bytes, max %d), ignoring",
+                        len(decompressed),
+                        ExifUtils._BROTLI_MAX_DECOMPRESSED,
+                    )
+                    decompressed = None
+            except Exception:
+                decompressed = None
+        else:
+            decompressed = None
+
+        raw = decompressed if decompressed is not None else compressed
+        try:
+            meta = json.loads(raw.decode('utf-8'))
+        except Exception:
+            return None
+
+        result = {"parameters": None, "prompt": None, "workflow": None, "comment": None}
+        if isinstance(meta.get("prompt"), (dict, list)):
+            result["prompt"] = json.dumps(meta["prompt"])
+        elif isinstance(meta.get("prompt"), str):
+            result["prompt"] = meta["prompt"]
+        if isinstance(meta.get("workflow"), (dict, list)):
+            result["workflow"] = json.dumps(meta["workflow"])
+        elif isinstance(meta.get("workflow"), str):
+            result["workflow"] = meta["workflow"]
+        return result
+
     @staticmethod
     def _decode_user_comment(user_comment: Any) -> Optional[str]:
         if user_comment is None:
@@ -43,6 +151,12 @@ class ExifUtils:
             "comment": None,
         }
 
+        ext = os.path.splitext(image_path)[1].lower()
+        if ext in ('.avif', '.jxl'):
+            brotli_meta = ExifUtils._extract_isobmff_brotli(image_path)
+            if brotli_meta:
+                return brotli_meta
+
         with Image.open(image_path) as img:
             info = getattr(img, "info", {}) or {}
 
@@ -149,7 +263,6 @@ class ExifUtils:
             Optional[str]: Extracted metadata or None if not found
         """
         try:
-            # Skip for video files
             if image_path:
                 ext = os.path.splitext(image_path)[1].lower()
                 if ext in ['.mp4', '.webm']:
@@ -177,10 +290,9 @@ class ExifUtils:
             str: Path to the updated image
         """
         try:
-            # Skip for video files
             if image_path:
                 ext = os.path.splitext(image_path)[1].lower()
-                if ext in ['.mp4', '.webm']:
+                if ext in ['.mp4', '.webm', '.avif', '.jxl']:
                     return image_path
 
             metadata_fields = ExifUtils._load_structured_metadata(image_path)
@@ -212,10 +324,9 @@ class ExifUtils:
     def append_recipe_metadata(image_path, recipe_data) -> str:
         """Append recipe metadata to an image's EXIF data"""
         try:
-            # Skip for video files
             if image_path:
                 ext = os.path.splitext(image_path)[1].lower()
-                if ext in ['.mp4', '.webm']:
+                if ext in ['.mp4', '.webm', '.avif', '.jxl']:
                     return image_path
 
             # First, extract existing metadata
@@ -327,10 +438,9 @@ class ExifUtils:
             Tuple of (optimized_image_data, extension)
         """
         try:
-            # Skip for video files early if it's a file path
             if isinstance(image_data, str) and os.path.exists(image_data):
                 ext = os.path.splitext(image_data)[1].lower()
-                if ext in ['.mp4', '.webm']:
+                if ext in ['.mp4', '.webm', '.avif', '.jxl']:
                     try:
                         with open(image_data, 'rb') as f:
                             return f.read(), ext

py/utils/file_utils.py

@@ -34,12 +34,21 @@ def _get_hash_chunk_size_bytes() -> int:
 
 
 async def calculate_sha256(file_path: str) -> str:
-    """Calculate SHA256 hash of a file (full file content)."""
+    """Calculate SHA256 hash of a file (full file content).
+
+    Uses ``posix_fadvise`` with ``POSIX_FADV_DONTNEED`` to avoid polluting the OS page
+    cache — critical on WSL where cached file pages live inside the VM and are not
+    accounted for in guest ``used`` memory, causing VmmemWSL to balloon.
+    """
     sha256_hash = hashlib.sha256()
     chunk_size = _get_hash_chunk_size_bytes()
     with open(file_path, "rb") as f:
+        fd = f.fileno()
         for byte_block in iter(lambda: f.read(chunk_size), b""):
             sha256_hash.update(byte_block)
+        # Evict pages after reading so the data doesn't linger in the kernel page
+        # cache — on WSL this otherwise appears as unreclaimable VmmemWSL growth.
+        os.posix_fadvise(fd, 0, 0, os.POSIX_FADV_DONTNEED)
     return sha256_hash.hexdigest()
 
 

requirements.txt

@@ -13,3 +13,5 @@ aiosqlite
 beautifulsoup4
 platformdirs
 pyyaml
+# brotli — ISOBMFF (AVIF/JXL) metadata decompression
+brotli>=1.2.0

static/css/components/metadata-refresh-result.css

@@ -0,0 +1,196 @@
+/* Metadata Refresh Result Modal — component styles only */
+
+.metadata-refresh-result-modal {
+    max-width: 700px;
+}
+
+.refresh-summary-stats {
+    display: flex;
+    flex-wrap: wrap;
+    gap: var(--space-2);
+    margin-bottom: var(--space-3);
+}
+
+.stat-card {
+    display: flex;
+    align-items: center;
+    gap: var(--space-2);
+    padding: var(--space-2) var(--space-3);
+    border-radius: var(--border-radius-sm);
+    background: var(--surface-subtle);
+    border-left: 4px solid transparent;
+    font-size: var(--text-sm);
+    flex: 1;
+    min-width: 130px;
+}
+
+.stat-card > i {
+    font-size: 1.25em;
+    flex-shrink: 0;
+}
+
+.stat-card-body {
+    display: flex;
+    flex-direction: column;
+    min-width: 0;
+}
+
+.stat-card-label {
+    font-size: var(--text-xs);
+    color: var(--text-secondary);
+    line-height: var(--leading-tight);
+}
+
+.stat-card-value {
+    font-weight: var(--weight-bold);
+    font-size: var(--text-lg);
+    color: var(--lora-text);
+    line-height: var(--leading-tight);
+}
+
+.stat-card-success {
+    border-left-color: var(--color-success);
+}
+
+.stat-card-success > i {
+    color: var(--color-success);
+}
+
+.stat-card-failure {
+    border-left-color: var(--color-error);
+}
+
+.stat-card-failure > i {
+    color: var(--color-error);
+}
+
+.stat-card-skipped {
+    border-left-color: var(--color-warning);
+}
+
+.stat-card-skipped > i {
+    color: var(--color-warning);
+}
+
+.stat-card-total {
+    border-left-color: var(--color-info);
+}
+
+.stat-card-total > i {
+    color: var(--color-info);
+}
+
+.stat-card-time {
+    border-left-color: var(--color-accent);
+}
+
+.stat-card-time > i {
+    color: var(--color-accent);
+}
+
+.refresh-failures-section {
+    margin-bottom: var(--space-3);
+}
+
+.refresh-failures-section h4 {
+    margin: 0 0 var(--space-2) 0;
+    font-size: var(--text-base);
+    color: var(--color-error);
+    display: flex;
+    align-items: center;
+    gap: var(--space-1);
+}
+
+.refresh-failures-section h4 i {
+    font-size: 0.9em;
+}
+
+.failure-table-wrapper {
+    max-height: 300px;
+    overflow-y: auto;
+    border: 1px solid var(--lora-border);
+    border-radius: var(--border-radius-sm);
+}
+
+.failure-table {
+    width: 100%;
+    border-collapse: collapse;
+    font-size: var(--text-sm);
+}
+
+.failure-table th {
+    position: sticky;
+    top: 0;
+    background: var(--lora-surface);
+    border-bottom: 2px solid var(--lora-border);
+    padding: var(--space-1) var(--space-2);
+    text-align: left;
+    font-weight: var(--weight-semibold);
+    color: var(--text-secondary);
+    z-index: 1;
+}
+
+.failure-table td {
+    padding: var(--space-1) var(--space-2);
+    border-bottom: 1px solid var(--lora-border);
+    vertical-align: top;
+}
+
+.failure-table tr:last-child td {
+    border-bottom: none;
+}
+
+.failure-table tr:hover td {
+    background: var(--surface-subtle);
+}
+
+.failure-index {
+    width: 30px;
+    text-align: center;
+    color: var(--text-secondary);
+}
+
+.failure-name {
+    max-width: 300px;
+    overflow: hidden;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+    font-family: var(--font-mono);
+    font-size: var(--text-xs);
+}
+
+.failure-error {
+    color: var(--color-error);
+    font-size: var(--text-xs);
+}
+
+.refresh-success-message {
+    display: flex;
+    align-items: center;
+    gap: var(--space-2);
+    padding: var(--space-3);
+    margin-bottom: var(--space-3);
+    background: var(--surface-subtle);
+    border-left: 4px solid var(--color-success);
+    color: var(--lora-text);
+    border-radius: var(--border-radius-sm);
+    font-weight: var(--weight-medium);
+}
+
+.refresh-success-message i {
+    font-size: 1.2em;
+    flex-shrink: 0;
+    color: var(--color-success);
+}
+
+[data-theme="dark"] .failure-table th {
+    background: var(--lora-surface);
+}
+
+[data-theme="dark"] .failure-table td {
+    border-bottom-color: var(--lora-border);
+}
+
+[data-theme="dark"] .failure-table tr:hover td {
+    background: var(--surface-subtle);
+}

static/css/style.css

@@ -40,6 +40,7 @@
 @import 'components/statistics.css'; /* Add statistics component */
 @import 'components/sidebar.css'; /* Add sidebar component */
 @import 'components/media-viewer.css';
+@import 'components/metadata-refresh-result.css';
 
 .initialization-notice {
     display: flex;

static/js/api/baseModelApi.js

@@ -547,6 +547,14 @@ export class BaseModelApiClient {
                 const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
                 ws = new WebSocket(`${wsProtocol}${window.location.host}${WS_ENDPOINTS.fetchProgress}`);
 
+                // Wait for WebSocket connection to establish
+                await new Promise((resolve, reject) => {
+                    ws.onopen = resolve;
+                    ws.onerror = reject;
+                });
+
+                // Now that we're connected, set up the message/error handlers
+                // for the actual operation (separate from connection errors)
                 const operationComplete = new Promise((resolve, reject) => {
                     ws.onmessage = (event) => {
                         const data = JSON.parse(event.data);
@@ -556,25 +564,39 @@ export class BaseModelApiClient {
                                 loading.setStatus('Starting metadata fetch...');
                                 break;
 
-                            case 'processing':
-                                const percent = ((data.processed / data.total) * 100).toFixed(1);
+                            case 'processing': {
+                                const handled = data.handled || data.processed;
+                                const percent = ((handled / data.total) * 100).toFixed(1);
                                 loading.setProgress(percent);
-                                loading.setStatus(
-                                    `Processing (${data.processed}/${data.total}) ${data.current_name}`
-                                );
+                                let statusText = `Processing (${handled}/${data.total}) ${data.current_name || ''}`;
+                                if (data.failure_count > 0) {
+                                    statusText += ` | ❌ ${data.failure_count} failed`;
+                                }
+                                if (data.skipped_count > 0) {
+                                    statusText += ` | ⏭️ ${data.skipped_count} skipped`;
+                                }
+                                loading.setStatus(statusText);
                                 break;
+                            }
 
-                            case 'completed':
+                            case 'completed': {
                                 loading.setProgress(100);
-                                loading.setStatus(
-                                    `Completed: Updated ${data.success} of ${data.processed} ${this.apiConfig.config.displayName}s`
-                                );
+                                let summaryText = `Completed: Updated ${data.success} of ${data.processed} ${this.apiConfig.config.displayName}s`;
+                                if (data.failure_count > 0) {
+                                    summaryText += ` | ❌ ${data.failure_count} failed`;
+                                }
+                                if (data.skipped_count > 0) {
+                                    summaryText += ` | ⏭️ ${data.skipped_count} skipped`;
+                                }
+                                summaryText += ` (⏱ ${data.elapsed_seconds || '?'}s)`;
+                                loading.setStatus(summaryText);
                                 resolve(data);
                                 break;
+                            }
 
                             case 'cancelled':
                                 loading.setStatus('Operation cancelled by user');
-                                resolve(data); // Consider it complete but marked as cancelled
+                                resolve(data);
                                 break;
 
                             case 'error':
@@ -588,12 +610,6 @@ export class BaseModelApiClient {
                     };
                 });
 
-                // Wait for WebSocket connection to establish
-                await new Promise((resolve, reject) => {
-                    ws.onopen = resolve;
-                    ws.onerror = reject;
-                });
-
                 const response = await fetch(this.apiConfig.endpoints.fetchAllCivitai, {
                     method: 'POST',
                     headers: { 'Content-Type': 'application/json' },
@@ -608,10 +624,10 @@ export class BaseModelApiClient {
                 const finalData = await operationComplete;
 
                 resetAndReload(false);
-                if (finalData && finalData.status === 'cancelled') {
-                    showToast('toast.api.operationCancelledPartial', { success: finalData.success, total: finalData.total }, 'info');
-                } else {
-                    showToast('toast.api.metadataUpdateComplete', {}, 'success');
+
+                // Show result summary with failure details
+                if (finalData) {
+                    this._showMetadataRefreshResult(finalData);
                 }
             } catch (error) {
                 console.error('Error fetching metadata:', error);
@@ -627,6 +643,210 @@ export class BaseModelApiClient {
         });
     }
 
+    _showMetadataRefreshResult(data) {
+        const { success, total } = data;
+
+        if (data.status === 'cancelled') {
+            showToast('toast.api.operationCancelledPartial', { success, total }, 'info');
+            return;
+        }
+
+        this._showFailureDetailsModal(data);
+    }
+
+    _showFailureDetailsModal(data) {
+        const { failures = [], success, processed, total, failure_count, skipped_count, elapsed_seconds } = data;
+
+        // Build failure list HTML
+        const failureRows = failures.map((f, i) =>
+            `<tr>
+                <td class="failure-index">${i + 1}</td>
+                <td class="failure-name" title="${this._escapeHtml(f.name)}">${this._escapeHtml(f.name)}</td>
+                <td class="failure-error">${this._escapeHtml(f.error || 'Unknown')}</td>
+            </tr>`
+        ).join('');
+
+        const modalHtml = `
+            <div id="metadataRefreshResultModal" class="modal" style="display: block;">
+                <div class="modal-content metadata-refresh-result-modal">
+                    <button class="close" data-action="close-modal">&times;</button>
+
+                    <h2><i class="fas fa-sync-alt"></i> ${translate('modals.metadataFetchSummary.title', {}, 'Metadata Fetch Summary')}</h2>
+
+                    <div class="refresh-summary-stats">
+                        <div class="stat-card stat-card-success">
+                            <i class="fas fa-check-circle"></i>
+                            <div class="stat-card-body">
+                                <span class="stat-card-label">${translate('modals.metadataFetchSummary.statSuccess', {}, 'Success')}</span>
+                                <span class="stat-card-value">${success}</span>
+                            </div>
+                        </div>
+                        <div class="stat-card stat-card-failure">
+                            <i class="fas fa-times-circle"></i>
+                            <div class="stat-card-body">
+                                <span class="stat-card-label">${translate('modals.metadataFetchSummary.statFailed', {}, 'Failed')}</span>
+                                <span class="stat-card-value">${failure_count}</span>
+                            </div>
+                        </div>
+                        <div class="stat-card stat-card-skipped">
+                            <i class="fas fa-forward"></i>
+                            <div class="stat-card-body">
+                                <span class="stat-card-label">${translate('modals.metadataFetchSummary.statSkipped', {}, 'Skipped')}</span>
+                                <span class="stat-card-value">${skipped_count}</span>
+                            </div>
+                        </div>
+                        <div class="stat-card stat-card-total">
+                            <i class="fas fa-database"></i>
+                            <div class="stat-card-body">
+                                <span class="stat-card-label">${translate('modals.metadataFetchSummary.statTotal', {}, 'Total Scanned')}</span>
+                                <span class="stat-card-value">${total || processed}</span>
+                            </div>
+                        </div>
+                        <div class="stat-card stat-card-time">
+                            <i class="fas fa-clock"></i>
+                            <div class="stat-card-body">
+                                <span class="stat-card-label">${translate('modals.metadataFetchSummary.statDuration', {}, 'Duration')}</span>
+                                <span class="stat-card-value">${elapsed_seconds}s</span>
+                            </div>
+                        </div>
+                    </div>
+
+                    ${failure_count > 0 ? `
+                    <div class="refresh-failures-section">
+                        <h4><i class="fas fa-exclamation-triangle"></i> ${translate('modals.metadataFetchSummary.failedItems', { count: failure_count }, 'Failed Items (' + failure_count + ')')}</h4>
+                        <div class="failure-table-wrapper">
+                            <table class="failure-table">
+                                <thead>
+                                    <tr>
+                                        <th>#</th>
+                                        <th>${translate('modals.metadataFetchSummary.columnModelName', {}, 'Model Name')}</th>
+                                        <th>${translate('modals.metadataFetchSummary.columnError', {}, 'Error')}</th>
+                                    </tr>
+                                </thead>
+                                <tbody>${failureRows}</tbody>
+                            </table>
+                        </div>
+                    </div>
+                    ` : `
+                    <div class="refresh-success-message">
+                        <i class="fas fa-check-circle"></i> ${translate('modals.metadataFetchSummary.successMessage', { count: success, type: this.apiConfig.config.displayName }, 'All ' + success + ' ' + this.apiConfig.config.displayName + 's updated successfully!')}
+                    </div>
+                    `}
+
+                    <div class="modal-actions">
+                        <button class="cancel-btn" data-action="close-modal">${translate('modals.metadataFetchSummary.close', {}, 'Close')}</button>
+                        ${failure_count > 0 ? `
+                        <button class="secondary-btn" data-action="copy-report"><i class="fas fa-copy"></i> ${translate('modals.metadataFetchSummary.copyReport', {}, 'Copy Report')}</button>
+                        <button class="secondary-btn" data-action="download-csv"><i class="fas fa-download"></i> ${translate('modals.metadataFetchSummary.downloadCsv', {}, 'Download CSV')}</button>
+                        ` : ''}
+                    </div>
+                </div>
+            </div>
+        `;
+
+        const existing = document.getElementById('metadataRefreshResultModal');
+        if (existing) existing.remove();
+
+        const container = document.createElement('div');
+        container.innerHTML = modalHtml;
+        const modal = container.firstElementChild;
+        document.body.appendChild(modal);
+
+        modal.addEventListener('click', (e) => {
+            const action = e.target.closest('[data-action]')?.dataset.action;
+            if (!action) return;
+            e.preventDefault();
+
+            switch (action) {
+                case 'close-modal':
+                    modal.remove();
+                    break;
+                case 'copy-report':
+                    BaseModelApiClient._copyRefreshReport(e.target.closest('[data-action]'), data);
+                    break;
+                case 'download-csv':
+                    BaseModelApiClient._downloadRefreshReport(data);
+                    break;
+            }
+        });
+    }
+
+    _escapeHtml(str) {
+        if (!str) return '';
+        const div = document.createElement('div');
+        div.textContent = str;
+        return div.innerHTML;
+    }
+
+    static _copyRefreshReport(btn, data) {
+        const { failures = [], success, processed, total, failure_count, skipped_count, elapsed_seconds } = data;
+        const lines = [
+            '=== Metadata Refresh Report ===',
+            `Date: ${new Date().toLocaleString()}`,
+            `Duration: ${elapsed_seconds}s`,
+            `Total scanned: ${total || processed}`,
+            `Successfully updated: ${success}`,
+            `Failed: ${failure_count}`,
+            `Skipped: ${skipped_count}`,
+            '',
+        ];
+        if (failure_count > 0) {
+            lines.push('--- Failed Items ---');
+            failures.forEach((f, i) => {
+                lines.push(`${i + 1}. ${f.name || 'Unknown'} — ${f.error || 'Unknown error'}`);
+            });
+            lines.push('');
+        }
+        lines.push('====================');
+
+        const text = lines.join('\n');
+        navigator.clipboard.writeText(text).then(() => {
+            showToast('toast.api.copiedToClipboard', {}, 'success');
+            if (btn) {
+                const origHTML = btn.innerHTML;
+                btn.innerHTML = '<i class="fas fa-check"></i> Copied!';
+                setTimeout(() => { btn.innerHTML = origHTML; }, 2000);
+            }
+        }).catch(() => {
+            // Fallback
+            const textarea = document.createElement('textarea');
+            textarea.value = text;
+            document.body.appendChild(textarea);
+            textarea.select();
+            document.execCommand('copy');
+            document.body.removeChild(textarea);
+            showToast('toast.api.copiedToClipboard', {}, 'success');
+        });
+    }
+
+    static _downloadRefreshReport(data) {
+        const { failures = [], success, processed, total, failure_count, skipped_count, elapsed_seconds } = data;
+
+        // CSV header
+        let csv = 'Model Name,Error\n';
+        failures.forEach(f => {
+            const name = (f.name || 'Unknown').replace(/"/g, '""');
+            const error = (f.error || 'Unknown').replace(/"/g, '""');
+            csv += `"${name}","${error}"\n`;
+        });
+
+        // Add summary as trailing comments
+        csv += `\n# Summary: ${success} success, ${failure_count} failed, ${skipped_count} skipped, ${elapsed_seconds}s\n`;
+        csv += `# Total scanned: ${total || processed}\n`;
+
+        const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
+        const url = URL.createObjectURL(blob);
+        const a = document.createElement('a');
+        a.href = url;
+        a.download = `metadata-refresh-failures-${Date.now()}.csv`;
+        document.body.appendChild(a);
+        a.click();
+        document.body.removeChild(a);
+        URL.revokeObjectURL(url);
+
+        showToast('toast.api.downloadStarted', {}, 'success');
+    }
+
     async refreshBulkModelMetadata(filePaths) {
         if (!filePaths || filePaths.length === 0) {
             throw new Error('No file paths provided');

static/js/components/shared/showcase/ShowcaseView.js

@@ -355,9 +355,9 @@ function renderImportInterface(isEmpty) {
                     <button class="select-files-btn" id="selectExampleFilesBtn">
                         <i class="fas fa-folder-open"></i> Select Files
                     </button>
-                    <p class="import-formats">Supported formats: jpg, png, gif, webp, mp4, webm</p>
+                    <p class="import-formats">Supported formats: jpg, png, gif, webp, avif, jxl, mp4, webm</p>
                 </div>
-                <input type="file" id="exampleFilesInput" multiple accept="image/*,video/mp4,video/webm" style="display: none;">
+                <input type="file" id="exampleFilesInput" multiple accept="image/*,image/avif,image/jxl,video/mp4,video/webm" style="display: none;">
                 <div class="import-progress-container" style="display: none;">
                     <div class="import-progress">
                         <div class="progress-bar"></div>
@@ -473,7 +473,7 @@ export function initExampleImport(modelHash, container) {
  */
 async function handleImportFiles(files, modelHash, importContainer) {
     // Filter for supported file types
-    const supportedImages = ['.jpg', '.jpeg', '.png', '.gif', '.webp'];
+    const supportedImages = ['.jpg', '.jpeg', '.png', '.gif', '.webp', '.avif', '.jxl'];
     const supportedVideos = ['.mp4', '.webm'];
     const supportedExtensions = [...supportedImages, ...supportedVideos];
     

tests/services/test_metadata_sync_service.py

@@ -441,7 +441,6 @@ async def test_fetch_and_update_model_returns_rate_limit_error(tmp_path):
 
     assert ok is False
     assert error is not None and "Rate limited" in error
-    assert "7" in error
     helpers.metadata_manager.save_metadata.assert_not_awaited()
     update_cache.assert_not_awaited()
     helpers.provider_selector.assert_not_awaited()

tests/services/test_model_metadata_provider.py

@@ -63,7 +63,8 @@ async def test_fallback_retries_same_provider_on_rate_limit(monkeypatch):
 
 
 @pytest.mark.asyncio
-async def test_fallback_respects_retry_limit(monkeypatch):
+async def test_fallback_continues_to_next_provider_on_rate_limit(monkeypatch):
+    """After exhausting retries on primary, fallback should continue to secondary."""
     sleep_mock = AsyncMock()
     monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
     monkeypatch.setattr(provider_module.random, "uniform", lambda *_: 0.0)
@@ -76,13 +77,13 @@ async def test_fallback_respects_retry_limit(monkeypatch):
         rate_limit_retry_limit=2,
     )
 
-    with pytest.raises(RateLimitError) as exc_info:
-        await fallback.get_model_by_hash("abc")
+    # After Change A: no longer raises; falls through to secondary
+    result, error = await fallback.get_model_by_hash("abc")
 
-    assert exc_info.value.provider == "primary"
-    assert primary.calls == 2
-    assert secondary.calls == 0
-    sleep_mock.assert_awaited_once()
+    assert error is None
+    assert result == {"id": "secondary"}
+    assert primary.calls == 2          # retry_limit exhausted on primary
+    assert secondary.calls == 1        # secondary IS called now
 
 
 @pytest.mark.asyncio
@@ -117,3 +118,40 @@ async def test_rate_limit_retrying_provider_respects_limit(monkeypatch):
     assert exc_info.value.provider == "inner"
     assert inner.calls == 2
     sleep_mock.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+async def test_retry_helper_limits_retries_for_large_retry_after():
+    """With retry_after >= 120s, _RateLimitRetryHelper should only attempt once (no retries)."""
+    calls = 0
+
+    async def failing():
+        nonlocal calls
+        calls += 1
+        raise RateLimitError("limited", retry_after=1500.0)
+
+    helper = provider_module._RateLimitRetryHelper(retry_limit=3)
+    with pytest.raises(RateLimitError):
+        await helper.run("test", failing)
+    assert calls == 1  # No retries for large retry_after
+
+
+@pytest.mark.asyncio
+async def test_retry_helper_retries_normally_for_small_retry_after(monkeypatch):
+    """With retry_after < 120s, _RateLimitRetryHelper should retry normally (up to limit)."""
+    sleep_mock = AsyncMock()
+    monkeypatch.setattr(provider_module.asyncio, "sleep", sleep_mock)
+
+    calls = 0
+
+    async def succeeding():
+        nonlocal calls
+        calls += 1
+        if calls == 1:
+            raise RateLimitError("limited", retry_after=30.0)
+        return {"ok": True}, None
+
+    helper = provider_module._RateLimitRetryHelper(retry_limit=3)
+    result, _ = await helper.run("test", succeeding)
+    assert result == {"ok": True}
+    assert calls == 2  # Retried once (small retry_after)

tests/utils/test_exif_utils.py

@@ -141,3 +141,150 @@ def test_update_image_metadata_preserves_png_workflow(tmp_path):
             img.info["parameters"]
             == 'prompt text\nRecipe metadata: {"title":"recipe"}'
         )
+
+
+# --- ISOBMFF / brotli extraction tests ---
+
+import struct
+
+import brotli
+
+
+def _build_jxl_with_brob(payload_json: dict) -> bytes:
+    """Build a minimal JXL container with a brob box containing brotli-compressed JSON."""
+    # ISOBMFF box 1: JXL signature box (size=12, type='JXL ', signature)
+    box1 = struct.pack(">I", 12) + b"JXL " + bytes([0x0d, 0x0a, 0x87, 0x0a])
+    # ISOBMFF box 2: ftyp (size=16, type='ftyp', major='jxl ', minor=0)
+    box2 = struct.pack(">I", 16) + b"ftyp" + b"jxl " + struct.pack(">I", 0)
+    # ISOBMFF box 3: brob — payload is b'comf' + brotli(json)
+    compressed = brotli.compress(json.dumps(payload_json).encode("utf-8"))
+    brob_payload = b"comf" + compressed
+    box3 = struct.pack(">I", 8 + len(brob_payload)) + b"brob" + brob_payload
+    return box1 + box2 + box3
+
+
+def _build_avif_with_brob(payload_json: dict) -> bytes:
+    """Build a minimal AVIF container with a brob box containing brotli-compressed JSON."""
+    compressed = brotli.compress(json.dumps(payload_json).encode("utf-8"))
+    brob_payload = b"comf" + compressed
+    ftyp_box = struct.pack(">I", 20) + b"ftyp" + b"avif" + struct.pack(">I", 0) + b"avif"
+    brob_box = struct.pack(">I", 8 + len(brob_payload)) + b"brob" + brob_payload
+    return ftyp_box + brob_box
+
+
+class TestIsobmffBrotliExtraction:
+    """Tests for ISOBMFF brotli metadata extraction in ExifUtils."""
+
+    def test_extract_jxl_brotli_happy_path(self, tmp_path):
+        """JXL container with valid brob box extracts prompt and workflow."""
+        payload = {"prompt": "a cute cat", "workflow": {"nodes": [{"id": 1}]}}
+        data = _build_jxl_with_brob(payload)
+        path = tmp_path / "test.jxl"
+        path.write_bytes(data)
+
+        result = ExifUtils._load_structured_metadata(str(path))
+
+        assert result["prompt"] == "a cute cat"
+        assert result["workflow"] == '{"nodes": [{"id": 1}]}'
+        assert result["parameters"] is None
+        assert result["comment"] is None
+
+    def test_extract_avif_brotli_happy_path(self, tmp_path):
+        """AVIF container with valid brob box extracts prompt and workflow."""
+        payload = {"prompt": "landscape", "workflow": {"nodes": []}}
+        data = _build_avif_with_brob(payload)
+        path = tmp_path / "test.avif"
+        path.write_bytes(data)
+
+        result = ExifUtils._load_structured_metadata(str(path))
+
+        assert result["prompt"] == "landscape"
+        assert result["workflow"] == '{"nodes": []}'
+
+    def test_extract_no_brob_box_returns_none(self, tmp_path):
+        """JXL container without a brob box returns None from _extract_isobmff_brotli."""
+        # Only JXL signature + ftyp, no brob
+        box1 = struct.pack(">I", 12) + b"JXL " + bytes([0x0d, 0x0a, 0x87, 0x0a])
+        box2 = struct.pack(">I", 16) + b"ftyp" + b"jxl " + struct.pack(">I", 0)
+        path = tmp_path / "test.jxl"
+        path.write_bytes(box1 + box2)
+
+        # The low-level extraction should return None (no brob box)
+        result = ExifUtils._extract_isobmff_brotli(str(path))
+        assert result is None
+
+    def test_extract_corrupt_brob_returns_none(self, tmp_path):
+        """Broken brob box payload gracefully returns None."""
+        box1 = struct.pack(">I", 12) + b"JXL " + bytes([0x0d, 0x0a, 0x87, 0x0a])
+        box2 = struct.pack(">I", 16) + b"ftyp" + b"jxl " + struct.pack(">I", 0)
+        # brob with garbage payload that doesn't start with b'comf'
+        garbage = b"\xff\xff\xff\xff" * 32
+        box3 = struct.pack(">I", 8 + len(garbage)) + b"brob" + garbage
+        path = tmp_path / "test.jxl"
+        path.write_bytes(box1 + box2 + box3)
+
+        result = ExifUtils._extract_isobmff_brotli(str(path))
+        assert result is None
+
+    def test_extract_non_isobmff_file_falls_through(self, tmp_path):
+        """A regular PNG file is not processed as ISOBMFF and returns PIL metadata."""
+        png_info = PngImagePlugin.PngInfo()
+        png_info.add_text("prompt", "from png")
+        path = tmp_path / "test.png"
+        Image.new("RGB", (4, 4), color="red").save(path, pnginfo=png_info)
+
+        result = ExifUtils._load_structured_metadata(str(path))
+        assert result["prompt"] == "from png"
+
+    def test_extract_skip_on_update_and_optimize(self, tmp_path):
+        """AVIF/JXL files are skipped for write operations (update/append/optimize)."""
+        path = tmp_path / "test.avif"
+        path.write_bytes(b"fake avif data")
+
+        # update_image_metadata should return the path unchanged
+        result = ExifUtils.update_image_metadata(str(path), "some metadata")
+        assert result == str(path)
+
+        # append_recipe_metadata should also skip
+        result = ExifUtils.append_recipe_metadata(str(path), {"title": "test"})
+        assert result == str(path)
+
+        # optimize_image should passthrough for AVIF/JXL paths
+        result_data, ext = ExifUtils.optimize_image(str(path))
+        assert ext == ".avif"
+        assert result_data == b"fake avif data"
+
+    def test_extract_prompt_as_dict(self, tmp_path):
+        """prompt field as dict is JSON-serialized."""
+        payload = {"prompt": {"text": "hello", "negative": "bad"}}
+        data = _build_jxl_with_brob(payload)
+        path = tmp_path / "test.jxl"
+        path.write_bytes(data)
+
+        result = ExifUtils._load_structured_metadata(str(path))
+        assert json.loads(result["prompt"]) == {"text": "hello", "negative": "bad"}
+
+    def test_extract_workflow_as_list(self, tmp_path):
+        """workflow field as list is JSON-serialized."""
+        payload = {"workflow": [{"id": 1}, {"id": 2}]}
+        data = _build_avif_with_brob(payload)
+        path = tmp_path / "test.avif"
+        path.write_bytes(data)
+
+        result = ExifUtils._load_structured_metadata(str(path))
+        assert json.loads(result["workflow"]) == [{"id": 1}, {"id": 2}]
+
+    def test_over_decompressed_size_limit(self, tmp_path, monkeypatch):
+        """Decompressed data exceeding _BROTLI_MAX_DECOMPRESSED is rejected."""
+        # Monkey-patch the limit to a small value to avoid large test data
+        monkeypatch.setattr(ExifUtils, "_BROTLI_MAX_DECOMPRESSED", 100)
+
+        large_content = "x" * 200
+        payload = {"prompt": large_content}
+        data = _build_jxl_with_brob(payload)
+        path = tmp_path / "test.jxl"
+        path.write_bytes(data)
+
+        # Direct extraction should return None because decompressed size exceeds limit
+        result = ExifUtils._extract_isobmff_brotli(str(path))
+        assert result is None

web/comfyui/save_image_extra_output.js

@@ -0,0 +1,135 @@
+import { app } from "../../scripts/app.js";
+import { chainCallback, getAllGraphNodes, getWidgetByName } from "./utils.js";
+
+/**
+ * Format a date string using the given pattern (e.g. "yyyy-MM-dd").
+ * Supports: yyyy, yy, MM, M, dd, d, hh, h, mm, m, ss, s
+ */
+function formatDate(text, date) {
+  const pad = (n, len) => n.toString().padStart(len, "0");
+  // Order matters: longer patterns first to avoid partial substring matches.
+  // The original ComfyUI frontend uses the same ordered-alternation approach.
+  return text
+    .replace(/yyyy/g, () => date.getFullYear().toString())
+    .replace(/yy/g, () => pad(date.getFullYear() % 100, 2))
+    .replace(/MM/g, () => pad(date.getMonth() + 1, 2))
+    .replace(/M/g, () => (date.getMonth() + 1).toString())
+    .replace(/dd/g, () => pad(date.getDate(), 2))
+    .replace(/d/g, () => date.getDate().toString())
+    .replace(/hh/g, () => pad(date.getHours(), 2))
+    .replace(/h/g, () => date.getHours().toString())
+    .replace(/mm/g, () => pad(date.getMinutes(), 2))
+    .replace(/m/g, () => date.getMinutes().toString())
+    .replace(/ss/g, () => pad(date.getSeconds(), 2))
+    .replace(/s/g, () => date.getSeconds().toString());
+}
+
+/**
+ * Resolve %NodeTitle.WidgetName% placeholders in a string using the current graph.
+ *
+ * Patterns supported:
+ *   %NodeTitle.WidgetName%  – widget value from a node (by title or "Node name for S&R")
+ *   %date:format%           – current date/time formatted (e.g. %date:yyyy-MM-dd%)
+ *   %width%, %height%       – left as-is, handled by the backend
+ *
+ * All other %text% patterns are passed through unchanged (they may be handled by
+ * the backend's format_filename, e.g. %seed%, %model%, %pprompt%).
+ */
+function applyTextReplacements(value) {
+  if (!value || typeof value !== "string" || !value.includes("%")) {
+    return value;
+  }
+
+  // Collect all nodes from the entire graph hierarchy (including subgraphs)
+  const allNodes = getAllGraphNodes(app.graph);
+
+  return value.replace(/%([^%]+)%/g, function (match, text) {
+    const split = text.split(".");
+    if (split.length !== 2) {
+      // Handle %date:format% patterns
+      if (split[0].startsWith("date:")) {
+        return formatDate(split[0].substring(5), new Date());
+      }
+
+      // %width% and %height% are left for the backend to handle
+      if (text !== "width" && text !== "height") {
+        console.warn(
+          "[Save Image (LoraManager)] Unknown placeholder: %" + text + "%"
+        );
+      }
+      return match;
+    }
+
+    // Try finding the node by its "Node name for S&R" property first
+    let nodes = allNodes
+      .filter((n) => n.node.properties?.["Node name for S&R"] === split[0])
+      .map((n) => n.node);
+
+    // Fall back to matching by node title
+    if (!nodes.length) {
+      nodes = allNodes
+        .filter((n) => n.node.title === split[0])
+        .map((n) => n.node);
+    }
+
+    if (!nodes.length) {
+      console.warn(
+        "[Save Image (LoraManager)] Node not found: " + split[0]
+      );
+      return match;
+    }
+
+    if (nodes.length > 1) {
+      console.warn(
+        "[Save Image (LoraManager)] Multiple nodes matched '" +
+          split[0] +
+          "', using first match"
+      );
+    }
+
+    const node = nodes[0];
+    const widget = node.widgets?.find((w) => w.name === split[1]);
+    if (!widget) {
+      console.warn(
+        "[Save Image (LoraManager)] Widget '" +
+          split[1] +
+          "' not found on node " +
+          split[0]
+      );
+      return match;
+    }
+
+    // Sanitize the value: replace characters invalid for filenames
+    // eslint-disable-next-line no-control-regex
+    return ((widget.value ?? "") + "").replaceAll(
+      /[/?<>\\:*|"\x00-\x1F\x7F]/g,
+      "_"
+    );
+  });
+}
+
+app.registerExtension({
+  name: "LoraManager.SaveImageExtraOutput",
+
+  async beforeRegisterNodeDef(nodeType, nodeData) {
+    if (nodeData.name !== "Save Image (LoraManager)") {
+      return;
+    }
+
+    chainCallback(nodeType.prototype, "onNodeCreated", function () {
+      // Find the filename_prefix widget
+      const widget = getWidgetByName(this, "filename_prefix");
+      if (!widget) {
+        console.warn(
+          "[Save Image (LoraManager)] filename_prefix widget not found"
+        );
+        return;
+      }
+
+      // Override serialization to resolve %NodeTitle.WidgetName% placeholders
+      widget.serializeValue = () => {
+        return applyTextReplacements(widget.value);
+      };
+    });
+  },
+});