app.py: cached uploaded images.

app.py

@@ -218,6 +218,21 @@ def load_example (face_file, pose_file, prompt, style, negative_prompt):
 	return image, gr.update(visible=True)
 
 
+upload_depot = {}
+
+def upload_assets_with_cache (client, paths):
+	global upload_depot
+
+	pending_paths = [path for path in paths if not path in upload_depot]
+	if pending_paths:
+		print('uploading images:', pending_paths)
+	for key, value in zip(pending_paths, client.upload_assets(pending_paths)):
+		upload_depot[key] = value
+
+	return [upload_depot[path] for path in paths]
+
+
+
 def generate_image (
 	novita_key1,
 	model_name,
@@ -274,13 +289,15 @@ def generate_image (
 		CONTROLNET_DICT['canny']['strength'] = canny_strength
 		CONTROLNET_DICT['depth']['strength'] = depth_strength
 
+		face_image_uploaded, ref_image_uploaded = upload_assets_with_cache(client, [face_image_path, ref_image_path])
+
 		res = client._post('/v3/async/instant-id', {
 			'extra': {
 				'response_image_type': 'jpeg',
 			},
 			'model_name': f'{model_name}.safetensors',
-			'face_image_assets_ids': client.upload_assets([face_image_path]),
-			'ref_image_assets_ids': client.upload_assets([ref_image_path]),
+			'face_image_assets_ids': [face_image_uploaded],
+			'ref_image_assets_ids': [ref_image_uploaded],
 			'prompt': prompt,
 			'negative_prompt': negative_prompt,
 			'controlnet': {