diff --git a/api/onnx_web/serve.py b/api/onnx_web/serve.py
index 2adaa866..8483bcc9 100644
--- a/api/onnx_web/serve.py
+++ b/api/onnx_web/serve.py
@@ -273,8 +273,7 @@ def run_txt2img_pipeline(model, provider, scheduler, prompt, negative_prompt, cf
         negative_prompt=negative_prompt,
         num_inference_steps=steps,
     ).images[0]
-
-    image = upscale_resrgan(image)
+    image = upscale_resrgan(image, model_path)
     image.save(output)
 
     print('saved txt2img output: %s' % (output))
@@ -295,6 +294,7 @@ def run_img2img_pipeline(model, provider, scheduler, prompt, negative_prompt, cf
         num_inference_steps=steps,
         strength=strength,
     ).images[0]
+    image = upscale_resrgan(image, model_path)
     image.save(output)
 
     print('saved img2img output: %s' % (output))
diff --git a/api/onnx_web/upscale.py b/api/onnx_web/upscale.py
index 17614dd1..b9a71d34 100644
--- a/api/onnx_web/upscale.py
+++ b/api/onnx_web/upscale.py
@@ -11,7 +11,7 @@ denoise_strength = 0.5
 gfpgan_url = 'https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth'
 resrgan_url = [
     'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth']
-fp32 = True
+fp16 = False
 model_name = 'RealESRGAN_x4plus'
 netscale = 4
 outscale = 4
@@ -20,13 +20,12 @@ tile = 0
 tile_pad = 10
 
 
-def upscale_resrgan(source_image: Image, faces=True) -> Image:
-    model_path = path.join('weights', model_name + '.pth')
+def make_resrgan(model_path):
+    model_path = path.join(model_path, model_name + '.pth')
     if not path.isfile(model_path):
-        ROOT_DIR = path.dirname(path.abspath(__file__))
         for url in resrgan_url:
             model_path = load_file_from_url(
-                url=url, model_dir=path.join(ROOT_DIR, 'weights'), progress=True, file_name=None)
+                url=url, model_dir=path.join(model_path, model_name), progress=True, file_name=None)
 
     model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64,
                     num_block=23, num_grow_ch=32, scale=4)
@@ -46,13 +45,19 @@ def upscale_resrgan(source_image: Image, faces=True) -> Image:
         tile=tile,
         tile_pad=tile_pad,
         pre_pad=pre_pad,
-        half=fp32)
+        half=fp16)
 
+    return upsampler
+
+
+def upscale_resrgan(source_image: Image, model_path: str, faces=True) -> Image:
     image = np.array(source_image)
+    upsampler = make_resrgan(model_path)
+
     output, _ = upsampler.enhance(image, outscale=outscale)
 
     if faces:
-      output = upscale_gfpgan(output, upsampler)
+        output = upscale_gfpgan(output, upsampler)
 
     return Image.fromarray(output, 'RGB')
 
@@ -65,6 +70,7 @@ def upscale_gfpgan(image, upsampler) -> Image:
         channel_multiplier=2,
         bg_upsampler=upsampler)
 
-    _, _, output = face_enhancer.enhance(image, has_aligned=False, only_center_face=False, paste_back=True)
+    _, _, output = face_enhancer.enhance(
+        image, has_aligned=False, only_center_face=False, paste_back=True)
 
     return output