Rename spandrel models to 'Image-to-Image Model' throughout the UI.

Author: RyanJDick

invokeai/app/invocations/fields.py

@@ -135,7 +135,7 @@ class FieldDescriptions:
     sdxl_main_model = "SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load"
     sdxl_refiner_model = "SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load"
     onnx_main_model = "ONNX Main model (UNet, VAE, CLIP) to load"
-    spandrel_image_to_image_model = "Spandrel Image-to-Image model"
+    spandrel_image_to_image_model = "Image-to-Image model"
     lora_weight = "The weight at which the LoRA is applied to each model"
     compel_prompt = "Prompt to be parsed by Compel to create a conditioning tensor"
     raw_prompt = "Raw prompt text (no parsing)"

invokeai/app/invocations/spandrel_upscale.py

@@ -155,11 +155,11 @@ const ModelList = () => {
         )}
         {/* Spandrel Image to Image List */}
         {isLoadingSpandrelImageToImageModels && (
-          <FetchingModelsLoader loadingMessage="Loading Spandrel Image to Image Models..." />
+          <FetchingModelsLoader loadingMessage="Loading Image-to-Image Models..." />
         )}
         {!isLoadingSpandrelImageToImageModels && filteredSpandrelImageToImageModels.length > 0 && (
           <ModelListWrapper
-            title="Spandrel Image to Image"
+            title="Image-to-Image"
             modelList={filteredSpandrelImageToImageModels}
             key="spandrel-image-to-image"
           />

invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelList.tsx

@@ -21,7 +21,7 @@ export const ModelTypeFilter = () => {
       t2i_adapter: t('common.t2iAdapter'),
       ip_adapter: t('common.ipAdapter'),
       clip_vision: 'Clip Vision',
-      spandrel_image_to_image: 'Spandrel Image to Image',
+      spandrel_image_to_image: 'Image-to-Image',
     }),
     [t]
   );