Update app.py

app.py

@@ -31,8 +31,9 @@ controlnet = ControlNetModel.from_pretrained(
 )
 
 controlnet_lineart = ControlNetModel.from_pretrained(
-    "r3gm/controlnet-lineart-anime-sdxl-fp16",
-    torch_dtype=torch.float16
+    "TheMistoAI/MistoLine",
+    torch_dtype=torch.float16,
+    variant="fp16",
 )
 
 def check_use_custom_or_no(value):
@@ -149,13 +150,6 @@ def infer(use_custom_model, model_name, weight_name, custom_lora_weight, image_i
         image = np.concatenate([image, image, image], axis=2)
         image = Image.fromarray(image)
     
-    if preprocessor == "lineart": 
-        image = load_image(image_in)
-        image = np.array(image)
-        image = HWC3(image)
-        #image = resize_image(image, resolution=image_resolution)
-        image = Image.fromarray(image)
-    
     if use_custom_model:
         
         if model_name == "":