app.py: enlarge target size for small reference image.

app.py

@@ -256,7 +256,7 @@ def generate_image (
 	seed,
 	scheduler,
 	#enable_LCM,
-	enhance_face_region,
+	#enhance_face_region,
 	progress=gr.Progress(track_tqdm=True),
 ):
 	if face_image_path is None:
@@ -280,7 +280,13 @@ def generate_image (
 
 		ref_image_path = pose_image_path if pose_image_path else face_image_path
 		ref_image = PIL.Image.open(ref_image_path)
+
 		width, height = ref_image.size
+		large_edge = max(width, height)
+		if large_edge < 1024:
+			scaling = 1024 / large_edge
+			width = int(width * scaling)
+			height = int(height * scaling)
 
 		CONTROLNET_DICT['pose']['strength'] = pose_strength
 		CONTROLNET_DICT['canny']['strength'] = canny_strength
@@ -292,7 +298,7 @@ def generate_image (
 			},
 			'model_name': f'{model_name}.safetensors',
 			'face_image_assets_ids': client.upload_assets([face_image_path]),
-			'ref_image_assets_ids': client.upload_assets([pose_image_path]) if pose_image_path else [],
+			'ref_image_assets_ids': client.upload_assets([ref_image_path]),
 			'prompt': prompt,
 			'negative_prompt': negative_prompt,
 			'controlnet': {
@@ -493,10 +499,10 @@ with gr.Blocks(css=css) as demo:
 				scheduler = gr.Dropdown(
 					label='Schedulers',
 					choices=schedulers,
-					value='Euler a',
+					value='Euler',
 				)
 				randomize_seed = gr.Checkbox(label='Randomize seed', value=True)
-				enhance_face_region = gr.Checkbox(label='Enhance non-face region', value=True)
+				#enhance_face_region = gr.Checkbox(label='Enhance non-face region', value=True)
 
 		with gr.Column(scale=1):
 			gallery = gr.Image(label='Generated Images')
@@ -534,7 +540,7 @@ with gr.Blocks(css=css) as demo:
 				seed,
 				scheduler,
 				#enable_LCM,
-				enhance_face_region,
+				#enhance_face_region,
 			],
 			outputs=[gallery, usage_tips],
 		)