diff --git a/tests/test_downloads_tab_workflow_route.mjs b/tests/test_downloads_tab_workflow_route.mjs
index 2720302..93b1b3e 100644
--- a/tests/test_downloads_tab_workflow_route.mjs
+++ b/tests/test_downloads_tab_workflow_route.mjs
@@ -2497,6 +2497,44 @@ test('download category normalization maps select safetensors alias to diffusion
   assert.equal(normalizeDownloadCategory('SELECT SAFETENSORS'), 'diffusion_models');
 });
 
+test('category display names use exact ComfyUI folder keys', () => {
+  const normalizeDownloadCategory = eval(`(${extractMethod(downloadTargetMethodsSource, 'normalizeDownloadCategory')})`);
+  const getCategoryDisplayName = eval(`(${extractMethod(downloadTargetMethodsSource, 'getCategoryDisplayName')})`);
+  const dialog = { normalizeDownloadCategory };
+
+  assert.equal(getCategoryDisplayName.call(dialog, 'audio_encoders'), 'audio_encoders');
+  assert.equal(getCategoryDisplayName.call(dialog, 'audio_encoder'), 'audio_encoders');
+  assert.equal(getCategoryDisplayName.call(dialog, 'text_encoders'), 'text_encoders');
+  assert.equal(getCategoryDisplayName.call(dialog, 'style_models'), 'style_models');
+  assert.equal(getCategoryDisplayName.call(dialog, 'model_patches'), 'model_patches');
+  assert.equal(getCategoryDisplayName.call(dialog, 'upscale_models'), 'upscale_models');
+  assert.equal(getCategoryDisplayName.call(dialog, 'loras'), 'loras');
+  assert.equal(getCategoryDisplayName.call(dialog, 'checkpoints'), 'checkpoints');
+});
+
+test('download path settings label categories with exact folder keys', () => {
+  const getDefaultDownloadPathTemplates = eval(`(${extractMethod(downloadTargetMethodsSource, 'getDefaultDownloadPathTemplates')})`);
+  const getDownloadPathTemplateCategoryDefinitions = eval(`(${extractMethod(downloadTargetMethodsSource, 'getDownloadPathTemplateCategoryDefinitions')})`);
+  const getDefaultRootCategoryDefinitions = eval(`(${extractMethod(downloadTargetMethodsSource, 'getDefaultRootCategoryDefinitions')})`);
+  const dialog = { getDefaultDownloadPathTemplates };
+
+  const templateCategories = getDownloadPathTemplateCategoryDefinitions.call(dialog);
+  const rootCategories = getDefaultRootCategoryDefinitions.call(dialog);
+
+  assert.deepEqual(
+    templateCategories.map(item => item.label),
+    templateCategories.map(item => item.key)
+  );
+  assert.equal(
+    rootCategories.find(item => item.key === 'text_encoders').label,
+    'text_encoders'
+  );
+  assert.equal(
+    rootCategories.find(item => item.key === 'upscale_models').label,
+    'upscale_models'
+  );
+});
+
 test('missing model preview shows accepted GGUF format next to its category', () => {
   const renderMissingModelFormatBadges = eval(`(${extractMethod(missingBrowserMethodsSource, 'renderMissingModelFormatBadges')})`);
   const dialog = {
diff --git a/web/resolver/search/download_target_methods.js b/web/resolver/search/download_target_methods.js
index 76467f5..138c75f 100644
--- a/web/resolver/search/download_target_methods.js
+++ b/web/resolver/search/download_target_methods.js
@@ -714,35 +714,7 @@ export const downloadTargetMethods = {
 
     getCategoryDisplayName(category = '') {
         category = this.normalizeDownloadCategory(category);
-        const displayNames = {
-            'checkpoints': 'checkpoint',
-            'loras': 'lora',
-            'vae': 'vae',
-            'controlnet': 'controlnet',
-            'embeddings': 'embedding',
-            'upscale_models': 'upscale_model',
-            'latent_upscale_models': 'latent_upscale_model',
-            'diffusion_models': 'diffusion_models',
-            'text_encoders': 'text encoders',
-            'clip': 'clip',
-            'clip_vision': 'clip_vision',
-            'hypernetworks': 'hypernetwork',
-            'style_models': 'style model',
-            'gligen': 'GLIGEN',
-            'diffusers': 'Diffusers',
-            'vae_approx': 'TAESD / VAE approx',
-            'audio_encoders': 'audio encoder',
-            'background_removal': 'background removal',
-            'frame_interpolation': 'frame interpolation',
-            'geometry_estimation': 'geometry estimation',
-            'detection': 'detection',
-            'model_patches': 'model patch',
-            'photomaker': 'PhotoMaker',
-            'optical_flow': 'optical flow',
-            'sams': 'SAM',
-            'ultralytics': 'Ultralytics'
-        };
-        return displayNames[category] || category || 'unknown';
+        return category || 'unknown';
     },
 
     getModelTypeColorClass(value = '') {
@@ -1107,27 +1079,19 @@ export const downloadTargetMethods = {
     },
 
     getDownloadPathTemplateCategoryDefinitions() {
-        return [
-            { key: 'loras', label: 'LoRAs' },
-            { key: 'checkpoints', label: 'Checkpoints' },
-            { key: 'embeddings', label: 'Embeddings' },
-            { key: 'diffusion_models', label: 'Diffusion models' },
-            { key: 'text_encoders', label: 'Text encoders' },
-            { key: 'controlnet', label: 'ControlNet' },
-            { key: 'vae', label: 'VAE' },
-            { key: 'upscale_models', label: 'Upscale models' }
-        ];
+        return Object.keys(this.getDefaultDownloadPathTemplates())
+            .map(key => ({ key, label: key }));
     },
 
     getDefaultRootCategoryDefinitions() {
         return [
-            { key: 'loras', label: 'LoRA root', settingKey: 'default_lora_root', storageKey: 'ModelResolver.defaultLoraRoot' },
-            { key: 'checkpoints', label: 'Checkpoint root', settingKey: 'default_checkpoint_root', storageKey: 'ModelResolver.defaultCheckpointRoot' },
-            { key: 'diffusion_models', label: 'Diffusion model root', settingKey: 'default_unet_root', storageKey: 'ModelResolver.defaultUnetRoot' },
-            { key: 'embeddings', label: 'Embedding root', settingKey: 'default_embedding_root', storageKey: 'ModelResolver.defaultEmbeddingRoot' },
-            { key: 'text_encoders', label: 'Text encoder root', settingKey: 'default_text_encoder_root', storageKey: 'ModelResolver.defaultTextEncoderRoot' },
-            { key: 'vae', label: 'VAE root', settingKey: 'default_vae_root', storageKey: 'ModelResolver.defaultVaeRoot' },
-            { key: 'upscale_models', label: 'Upscale model root', settingKey: 'default_upscale_model_root', storageKey: 'ModelResolver.defaultUpscaleModelRoot' }
+            { key: 'loras', label: 'loras', settingKey: 'default_lora_root', storageKey: 'ModelResolver.defaultLoraRoot' },
+            { key: 'checkpoints', label: 'checkpoints', settingKey: 'default_checkpoint_root', storageKey: 'ModelResolver.defaultCheckpointRoot' },
+            { key: 'diffusion_models', label: 'diffusion_models', settingKey: 'default_unet_root', storageKey: 'ModelResolver.defaultUnetRoot' },
+            { key: 'embeddings', label: 'embeddings', settingKey: 'default_embedding_root', storageKey: 'ModelResolver.defaultEmbeddingRoot' },
+            { key: 'text_encoders', label: 'text_encoders', settingKey: 'default_text_encoder_root', storageKey: 'ModelResolver.defaultTextEncoderRoot' },
+            { key: 'vae', label: 'vae', settingKey: 'default_vae_root', storageKey: 'ModelResolver.defaultVaeRoot' },
+            { key: 'upscale_models', label: 'upscale_models', settingKey: 'default_upscale_model_root', storageKey: 'ModelResolver.defaultUpscaleModelRoot' }
         ];
     },