feat: add sams and ultralytics model categories

Add support for Two new model categories with full frontend and backend
integration:

- sams: maps sam, sam_model, sam_models → sams category
- ultralytics: maps ultralytics, ultralytics_bbox, ultralytics_segm, yolo → ultralytics category

Covers CATEGORY_MAP, settings templates/aliases, workflow_analyzer node hints,
download target resolution (JS), and folder detection.

__init__.py

@@ -788,6 +788,14 @@ class ModelResolverExtension:
                                 "gligen": "gligen",
                                 "diffusers": "diffusers",
                                 "vae_approx": "vae_approx",
+                                "sam": "sams",
+                                "sam_model": "sams",
+                                "sam_models": "sams",
+                                "sams": "sams",
+                                "ultralytics": "ultralytics",
+                                "ultralytics_bbox": "ultralytics",
+                                "ultralytics_segm": "ultralytics",
+                                "yolo": "ultralytics",
                                 "audio_encoder": "audio_encoders",
                                 "audio_encoders": "audio_encoders",
                                 "background_removal": "background_removal",
@@ -1943,6 +1951,7 @@ class ModelResolverExtension:
                             "text_encoders",
                             "ipadapter",
                             "sams",
+                            "ultralytics",
                         ]
                         skip_categories = {"custom_nodes", "configs"}
                         categories = []

core/downloader.py

@@ -63,6 +63,14 @@ CATEGORY_MAP = {
     "gligen": "gligen",
     "diffusers": "diffusers",
     "vae_approx": "vae_approx",
+    "sam": "sams",
+    "sam_model": "sams",
+    "sam_models": "sams",
+    "sams": "sams",
+    "ultralytics": "ultralytics",
+    "ultralytics_bbox": "ultralytics",
+    "ultralytics_segm": "ultralytics",
+    "yolo": "ultralytics",
     "audio_encoder": "audio_encoders",
     "audio_encoders": "audio_encoders",
     "background_removal": "background_removal",

core/settings.py

@@ -39,6 +39,14 @@ CATEGORY_MAP = {
     "gligen": "gligen",
     "diffusers": "diffusers",
     "vae_approx": "vae_approx",
+    "sam": "sams",
+    "sam_model": "sams",
+    "sam_models": "sams",
+    "sams": "sams",
+    "ultralytics": "ultralytics",
+    "ultralytics_bbox": "ultralytics",
+    "ultralytics_segm": "ultralytics",
+    "yolo": "ultralytics",
     "audio_encoder": "audio_encoders",
     "audio_encoders": "audio_encoders",
     "background_removal": "background_removal",
@@ -64,6 +72,8 @@ DEFAULT_DOWNLOAD_PATH_TEMPLATES: Dict[str, str] = {
     "controlnet": "{base_model}",
     "vae": "",
     "upscale_models": "",
+    "sams": "",
+    "ultralytics": "",
 }
 
 DEFAULT_ROOT_KEYS = {
@@ -85,6 +95,8 @@ TEMPLATE_KEY_ALIASES = {
     "controlnet": ("controlnet", "control_net"),
     "vae": ("vae",),
     "upscale_models": ("upscale_models", "upscale_model", "upscaler"),
+    "sams": ("sams", "sam", "sam_model", "sam_models"),
+    "ultralytics": ("ultralytics", "ultralytics_bbox", "ultralytics_segm", "yolo"),
 }
 
 PRIORITY_TAGS = (

core/workflow_analyzer.py

@@ -108,6 +108,8 @@ NODE_TYPE_TO_CATEGORY_HINTS = {
     "StyleModelLoader": "style_models",
     "GLIGENLoader": "gligen",
     "UpscaleModelLoader": "upscale_models",
+    "SAMLoader": "sams",
+    "UltralyticsDetectorProvider": "ultralytics",
     "AudioEncoderLoader": "audio_encoders",
     "LoadBackgroundRemovalModel": "background_removal",
     "LoadDA3Model": "geometry_estimation",
@@ -209,6 +211,8 @@ NODE_TYPE_MODEL_WIDGET_CATEGORIES = {
     "StyleModelLoader": {0: "style_models"},
     "GLIGENLoader": {0: "gligen"},
     "UpscaleModelLoader": {0: "upscale_models"},
+    "SAMLoader": {0: "sams"},
+    "UltralyticsDetectorProvider": {0: "ultralytics"},
     "AudioEncoderLoader": {0: "audio_encoders"},
     "LoadBackgroundRemovalModel": {0: "background_removal"},
     "LoadDA3Model": {0: "geometry_estimation"},
@@ -251,6 +255,7 @@ MODEL_WIDGET_NAME_TO_CATEGORY = {
     "audio_encoder_name": "audio_encoders",
     "bg_removal_name": "background_removal",
     "photomaker_model_name": "photomaker",
+    "sam_model_name": "sams",
     "text_encoder": "text_encoders",
     "hypernetwork_name": "hypernetworks",
 }
@@ -316,6 +321,7 @@ MODEL_WIDGET_PLACEHOLDERS = {
     "included",
     "(use same)",
     "select the lora to add to the text",
+    "esam",
     "pixel_space",
     "taesd",
     "taesdxl",

web/resolver/search/download_target_methods.js

@@ -122,6 +122,12 @@ export const downloadTargetMethods = {
             style_model: 'style_models',
             audio_encoder: 'audio_encoders',
             model_patch: 'model_patches',
+            sam: 'sams',
+            sam_model: 'sams',
+            sam_models: 'sams',
+            ultralytics_bbox: 'ultralytics',
+            ultralytics_segm: 'ultralytics',
+            yolo: 'ultralytics',
             background_removal_model: 'background_removal',
             frame_interpolation_model: 'frame_interpolation',
             geometry_estimation_model: 'geometry_estimation',
@@ -157,7 +163,9 @@ export const downloadTargetMethods = {
             'detection': 'detection',
             'model_patches': 'model patch',
             'photomaker': 'PhotoMaker',
-            'optical_flow': 'optical flow'
+            'optical_flow': 'optical flow',
+            'sams': 'SAM',
+            'ultralytics': 'Ultralytics'
         };
         return displayNames[category] || category || 'unknown';
     },
@@ -229,6 +237,13 @@ export const downloadTargetMethods = {
             model_patch: 'model',
             photomaker: 'clip-vision',
             optical_flow: 'image',
+            sams: 'controlnet',
+            sam: 'controlnet',
+            sam_model: 'controlnet',
+            ultralytics: 'controlnet',
+            ultralytics_bbox: 'controlnet',
+            ultralytics_segm: 'controlnet',
+            yolo: 'controlnet',
             image: 'image',
             images: 'image',
             mask: 'mask',
@@ -269,7 +284,9 @@ export const downloadTargetMethods = {
             'detection': 'detection',
             'model_patches': 'model_patch',
             'photomaker': 'photomaker',
-            'optical_flow': 'optical_flow'
+            'optical_flow': 'optical_flow',
+            'sams': 'sam_model',
+            'ultralytics': 'ultralytics'
         };
         return tokenNames[category] || category || 'unknown';
     },
@@ -298,7 +315,8 @@ export const downloadTargetMethods = {
             'photomaker',
             'optical_flow',
             'ipadapter',
-            'sams'
+            'sams',
+            'ultralytics'
         ];
     },
 

web/resolver/shell/workflow_state_methods.js

@@ -42,6 +42,7 @@ export const workflowStateMethods = {
             'audio_encoder_name',
             'bg_removal_name',
             'photomaker_model_name',
+            'sam_model_name',
             'text_encoder',
             'existing_lora',
             'hypernetwork_name',
@@ -111,6 +112,8 @@ export const workflowStateMethods = {
             StyleModelLoader: [0],
             GLIGENLoader: [0],
             UpscaleModelLoader: [0],
+            SAMLoader: [0],
+            UltralyticsDetectorProvider: [0],
             AudioEncoderLoader: [0],
             LoadBackgroundRemovalModel: [0],
             LoadDA3Model: [0],