feat(constants): standardize formatting and expand diffusion model list

- Normalize string quotes to double quotes across all constants for consistency
- Add trailing commas in dictionaries and lists to improve diff readability
- Expand DIFFUSION_MODEL_BASE_MODELS with additional Wan Video and Qwen models
- Fix comment spacing in NSFW_LEVELS dictionary
- Maintain all existing functionality while improving code style

py/utils/constants.py

@@ -4,14 +4,14 @@ NSFW_LEVELS = {
     "R": 4,
     "X": 8,
     "XXX": 16,
-    "Blocked": 32, # Probably not actually visible through the API without being logged in on model owner account?
+    "Blocked": 32,  # Probably not actually visible through the API without being logged in on model owner account?
 }
 
 # Node type constants
 NODE_TYPES = {
     "Lora Loader (LoraManager)": 1,
     "Lora Stacker (LoraManager)": 2,
-    "WanVideo Lora Select (LoraManager)": 3
+    "WanVideo Lora Select (LoraManager)": 3,
 }
 
 # Default ComfyUI node color when bgcolor is null
@@ -19,18 +19,18 @@ DEFAULT_NODE_COLOR = "#353535"
 
 # preview extensions
 PREVIEW_EXTENSIONS = [
-    '.webp',
-    '.preview.webp',
-    '.preview.png',
-    '.preview.jpeg',
-    '.preview.jpg',
-    '.preview.mp4',
-    '.png',
-    '.jpeg',
-    '.jpg',
-    '.mp4',
-    '.gif',
-    '.webm'
+    ".webp",
+    ".preview.webp",
+    ".preview.png",
+    ".preview.jpeg",
+    ".preview.jpg",
+    ".preview.mp4",
+    ".png",
+    ".jpeg",
+    ".jpg",
+    ".mp4",
+    ".gif",
+    ".webm",
 ]
 
 # Card preview image width
@@ -41,43 +41,70 @@ EXAMPLE_IMAGE_WIDTH = 832
 
 # Supported media extensions for example downloads
 SUPPORTED_MEDIA_EXTENSIONS = {
-    'images': ['.jpg', '.jpeg', '.png', '.webp', '.gif'],
-    'videos': ['.mp4', '.webm']
+    "images": [".jpg", ".jpeg", ".png", ".webp", ".gif"],
+    "videos": [".mp4", ".webm"],
 }
 
 # Valid Lora types
-VALID_LORA_TYPES = ['lora', 'locon', 'dora']
+VALID_LORA_TYPES = ["lora", "locon", "dora"]
 
 # Supported Civitai model types for user model queries (case-insensitive)
 CIVITAI_USER_MODEL_TYPES = [
     *VALID_LORA_TYPES,
-    'textualinversion',
-    'checkpoint',
+    "textualinversion",
+    "checkpoint",
 ]
 
 # Default chunk size in megabytes used for hashing large files.
 DEFAULT_HASH_CHUNK_SIZE_MB = 4
 
 # Auto-organize settings
-AUTO_ORGANIZE_BATCH_SIZE = 50  # Process models in batches to avoid overwhelming the system
+AUTO_ORGANIZE_BATCH_SIZE = (
+    50  # Process models in batches to avoid overwhelming the system
+)
 
 # Civitai model tags in priority order for subfolder organization
 CIVITAI_MODEL_TAGS = [
-    'character', 'concept', 'clothing',
-    'realistic', 'anime', 'toon', 'furry', 'style',
-    'poses', 'background', 'tool', 'vehicle', 'buildings',
-    'objects', 'assets', 'animal', 'action'
+    "character",
+    "concept",
+    "clothing",
+    "realistic",
+    "anime",
+    "toon",
+    "furry",
+    "style",
+    "poses",
+    "background",
+    "tool",
+    "vehicle",
+    "buildings",
+    "objects",
+    "assets",
+    "animal",
+    "action",
 ]
 
 # Default priority tag configuration strings for each model type
 DEFAULT_PRIORITY_TAG_CONFIG = {
-    'lora': ', '.join(CIVITAI_MODEL_TAGS),
-    'checkpoint': ', '.join(CIVITAI_MODEL_TAGS),
-    'embedding': ', '.join(CIVITAI_MODEL_TAGS),
+    "lora": ", ".join(CIVITAI_MODEL_TAGS),
+    "checkpoint": ", ".join(CIVITAI_MODEL_TAGS),
+    "embedding": ", ".join(CIVITAI_MODEL_TAGS),
 }
 
 # baseModel values from CivitAI that should be treated as diffusion models (unet)
 # These model types are incorrectly labeled as "checkpoint" by CivitAI but are actually diffusion models
-DIFFUSION_MODEL_BASE_MODELS = frozenset([
-    "ZImageTurbo",
-])
+DIFFUSION_MODEL_BASE_MODELS = frozenset(
+    [
+        "ZImageTurbo",
+        "Wan Video 1.3B t2v",
+        "Wan Video 14B t2v",
+        "Wan Video 14B i2v 480p",
+        "Wan Video 14B i2v 720p",
+        "Wan Video 2.2 TI2V-5B",
+        "Wan Video 2.2 I2V-A14B",
+        "Wan Video 2.2 T2V-A14B",
+        "Wan Video 2.5 T2V",
+        "Wan Video 2.5 I2V",
+        "Qwen",
+    ]
+)