appy.py: added controlnet of lineart.

app.py

@@ -135,6 +135,11 @@ CONTROLNET_DICT = dict(
 		'strength': 1,
 		'preprocessor': 'canny',
 	},
+	lineart={
+		'model_name': 'controlnet-softedge-dexined-sdxl-1.0',
+		'strength': 1,
+		'preprocessor': 'lineart',
+	},
 )
 
 last_check = 0
@@ -264,9 +269,7 @@ def generate_image (
 	num_steps,
 	identitynet_strength_ratio,
 	adapter_strength_ratio,
-	pose_strength,
-	canny_strength,
-	depth_strength,
+	controlnet_strengths,
 	controlnet_selection,
 	guidance_scale,
 	seed,
@@ -305,9 +308,12 @@ def generate_image (
 			width = int(width * scaling)
 			height = int(height * scaling)
 
-		CONTROLNET_DICT['pose']['strength'] = pose_strength
-		CONTROLNET_DICT['canny']['strength'] = canny_strength
-		CONTROLNET_DICT['depth']['strength'] = depth_strength
+		(
+			CONTROLNET_DICT['pose']['strength'],
+			CONTROLNET_DICT['canny']['strength'],
+			CONTROLNET_DICT['depth']['strength'],
+			CONTROLNET_DICT['lineart']['strength'],
+		) = controlnet_strengths
 
 		face_image_uploaded, ref_image_uploaded = upload_assets_with_cache(client, [face_image_path, ref_image_path])
 
@@ -492,6 +498,13 @@ with gr.Blocks(css=css) as demo:
 					step=0.05,
 					value=0.40,
 				)
+				lineart_strength = gr.Slider(
+					label='Lineart strength',
+					minimum=0,
+					maximum=1.5,
+					step=0.05,
+					value=0.40,
+				)
 			with gr.Accordion(open=False, label='Advanced Options'):
 				negative_prompt = gr.Textbox(
 					label='Negative Prompt',
@@ -567,9 +580,12 @@ with gr.Blocks(css=css) as demo:
 				num_steps,
 				identitynet_strength_ratio,
 				adapter_strength_ratio,
-				pose_strength,
-				canny_strength,
-				depth_strength,
+				[
+					pose_strength,
+					canny_strength,
+					depth_strength,
+					lineart_strength,
+				],
 				controlnet_selection,
 				guidance_scale,
 				seed,