Implements thumbnails for gallery

- Thumbnails are saved whenever an image is saved, and when gallery requests images from server
- Thumbnails saved at original image aspect ratio with width of 128px as WEBP
- If the thumbnail property of an image is unavailable for whatever reason, the image's full size URL is used instead

backend/invoke_ai_web_server.py

@@ -172,8 +172,11 @@ class InvokeAIWebServer:
 
                 (width, height) = pil_image.size
 
+                thumbnail_path = save_thumbnail(pil_image, file_path)
+
                 response = {
                     "url": self.get_url_from_image_path(file_path),
+                    "thumbnail": self.get_url_from_image_path(thumbnail_path),
                     "mtime": mtime,
                     "width": width,
                     "height": height,
@@ -306,6 +309,7 @@ class InvokeAIWebServer:
                 )
 
                 paths = []
+
                 for ext in ("*.png", "*.jpg", "*.jpeg"):
                     paths.extend(glob.glob(os.path.join(base_path, ext)))
 
@@ -329,11 +333,15 @@ class InvokeAIWebServer:
                     else:
                         sd_metadata = {}
 
-                    (width, height) = Image.open(path).size
+                    pil_image = Image.open(path)
+                    (width, height) = pil_image.size
+
+                    thumbnail_path = save_thumbnail(pil_image, path)
 
                     image_array.append(
                         {
                             "url": self.get_url_from_image_path(path),
+                            "thumbnail": self.get_url_from_image_path(thumbnail_path),
                             "mtime": os.path.getmtime(path),
                             "metadata": sd_metadata,
                             "width": width,
@@ -389,11 +397,15 @@ class InvokeAIWebServer:
                     else:
                         sd_metadata = {}
 
-                    (width, height) = Image.open(path).size
+                    pil_image = Image.open(path)
+                    (width, height) = pil_image.size
+
+                    thumbnail_path = save_thumbnail(pil_image, path)
 
                     image_array.append(
                         {
                             "url": self.get_url_from_image_path(path),
+                            "thumbnail": self.get_url_from_image_path(thumbnail_path),
                             "mtime": os.path.getmtime(path),
                             "metadata": sd_metadata,
                             "width": width,
@@ -537,6 +549,8 @@ class InvokeAIWebServer:
                     postprocessing=postprocessing_parameters["type"],
                 )
 
+                thumbnail_path = save_thumbnail(image, path)
+
                 self.write_log_message(
                     f'[Postprocessed] "{original_image_path}" > "{path}": {postprocessing_parameters}'
                 )
@@ -549,6 +563,7 @@ class InvokeAIWebServer:
                     "postprocessingResult",
                     {
                         "url": self.get_url_from_image_path(path),
+                        "thumbnail": self.get_url_from_image_path(thumbnail_path),
                         "mtime": os.path.getmtime(path),
                         "metadata": metadata,
                         "width": width,
@@ -575,8 +590,12 @@ class InvokeAIWebServer:
                 from send2trash import send2trash
 
                 path = self.get_image_path_from_url(url)
+                base = os.path.splitext(path)[0]
+                thumbnail_path = base + ".webp"
 
                 send2trash(path)
+                send2trash(thumbnail_path)
+
                 socketio.emit(
                     "imageDeleted",
                     {"url": url, "uuid": uuid, "category": category},
@@ -949,6 +968,8 @@ class InvokeAIWebServer:
                     postprocessing=postprocessing,
                 )
 
+                thumbnail_path = save_thumbnail(image, path)
+
                 print(f'>> Image generated: "{path}"')
                 self.write_log_message(f'[Generated] "{path}": {command}')
 
@@ -966,6 +987,7 @@ class InvokeAIWebServer:
                     "generationResult",
                     {
                         "url": self.get_url_from_image_path(path),
+                        "thumbnail": self.get_url_from_image_path(thumbnail_path),
                         "mtime": os.path.getmtime(path),
                         "metadata": metadata,
                         "width": width,
@@ -1457,3 +1479,30 @@ def paste_image_into_bounding_box(
         bounds = (x, y, x + width, y + height)
         im.paste(donor_image, bounds)
         return recipient_image
+
+
+"""
+Saves a thumbnail of an image, returning its path.
+"""
+
+
+def save_thumbnail(
+    image: ImageType,
+    path: str,
+    size: int = 128,
+) -> str:
+    base = os.path.splitext(path)[0]
+    thumbnail_path = base + ".webp"
+
+    if os.path.exists(thumbnail_path):
+        return thumbnail_path
+
+    thumbnail_width = size
+    thumbnail_height = round(size * (image.height / image.width))
+
+    image_copy = image.copy()
+    image_copy.thumbnail(size=(thumbnail_width, thumbnail_height))
+
+    image_copy.save(thumbnail_path, "WEBP")
+
+    return thumbnail_path

frontend/src/app/invokeai.d.ts

@@ -113,6 +113,7 @@ export declare type Metadata = SystemConfig & {
 export declare type Image = {
   uuid: string;
   url: string;
+  thumbnail: string;
   mtime: number;
   metadata?: Metadata;
   width: number;
@@ -184,6 +185,7 @@ export declare type ImageUploadResponse = {
   mtime: number;
   width: number;
   height: number;
+  thumbnail: string;
   // bbox: [number, number, number, number];
 };
 

frontend/src/features/canvas/store/thunks/mergeAndUploadCanvas.ts

@@ -69,16 +69,14 @@ export const mergeAndUploadCanvas =
       body: formData,
     });
 
-    const { url, mtime, width, height } =
+    const image = (await response.json()) as InvokeAI.ImageUploadResponse;
-      (await response.json()) as InvokeAI.ImageUploadResponse;
+
+    const { url, width, height } = image;
 
     const newImage: InvokeAI.Image = {
       uuid: uuidv4(),
-      url,
-      mtime,
       category: shouldSaveToGallery ? 'result' : 'user',
-      width: width,
+      ...image,
-      height: height,
     };
 
     if (shouldDownload) {

frontend/src/features/gallery/components/HoverableImage.tsx

@@ -23,13 +23,10 @@ import {
 import * as InvokeAI from 'app/invokeai';
 import * as ContextMenu from '@radix-ui/react-context-menu';
 import {
-  resetCanvasView,
   resizeAndScaleCanvas,
-  setDoesCanvasNeedScaling,
   setInitialCanvasImage,
 } from 'features/canvas/store/canvasSlice';
 import { hoverableImageSelector } from 'features/gallery/store/gallerySliceSelectors';
-import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
 
 interface HoverableImageProps {
   image: InvokeAI.Image;
@@ -54,7 +51,7 @@ const HoverableImage = memo((props: HoverableImageProps) => {
     isLightBoxOpen,
   } = useAppSelector(hoverableImageSelector);
   const { image, isSelected } = props;
-  const { url, uuid, metadata } = image;
+  const { url, thumbnail, uuid, metadata } = image;
 
   const [isHovered, setIsHovered] = useState<boolean>(false);
 
@@ -173,7 +170,7 @@ const HoverableImage = memo((props: HoverableImageProps) => {
             className="hoverable-image-image"
             objectFit={galleryImageObjectFit}
             rounded={'md'}
-            src={url}
+            src={thumbnail || url}
             loading={'lazy'}
           />
           <div className="hoverable-image-content" onClick={handleSelectImage}>

frontend/src/features/gallery/store/thunks/uploadImage.ts

@@ -37,16 +37,12 @@ export const uploadImage =
       body: formData,
     });
 
-    const { url, mtime, width, height } =
+    const image = (await response.json()) as InvokeAI.ImageUploadResponse;
-      (await response.json()) as InvokeAI.ImageUploadResponse;
+    console.log(image)
-
     const newImage: InvokeAI.Image = {
       uuid: uuidv4(),
-      url,
-      mtime,
       category: 'user',
-      width: width,
+      ...image,
-      height: height,
     };
 
     dispatch(addImage({ image: newImage, category: 'user' }));