diff --git a/modelscope/pipelines/cv/image_matting_pipeline.py b/modelscope/pipelines/cv/image_matting_pipeline.py
index 3e962d85..6f3ff5f5 100644
--- a/modelscope/pipelines/cv/image_matting_pipeline.py
+++ b/modelscope/pipelines/cv/image_matting_pipeline.py
@@ -7,7 +7,7 @@ import PIL
 
 from modelscope.pipelines.base import Input
 from modelscope.preprocessors import load_image
-from modelscope.utils.constant import TF_GRAPH_FILE, Tasks
+from modelscope.utils.constant import Tasks
 from modelscope.utils.logger import get_logger
 from ..base import Pipeline
 from ..builder import PIPELINES
@@ -24,7 +24,7 @@ class ImageMattingPipeline(Pipeline):
         import tensorflow as tf
         if tf.__version__ >= '2.0':
             tf = tf.compat.v1
-        model_path = osp.join(self.model, TF_GRAPH_FILE)
+        model_path = osp.join(self.model, 'matting_person.pb')
 
         config = tf.ConfigProto(allow_soft_placement=True)
         config.gpu_options.allow_growth = True
diff --git a/modelscope/utils/constant.py b/modelscope/utils/constant.py
index c51e2445..0d0f2492 100644
--- a/modelscope/utils/constant.py
+++ b/modelscope/utils/constant.py
@@ -75,12 +75,3 @@ class Hubs(object):
 # in order to avoid conflict with huggingface
 # config file we use maas_config instead
 CONFIGFILE = 'maas_config.json'
-
-README_FILE = 'README.md'
-TF_SAVED_MODEL_FILE = 'saved_model.pb'
-TF_GRAPH_FILE = 'tf_graph.pb'
-TF_CHECKPOINT_FOLDER = 'tf_ckpts'
-TF_CHECKPOINT_FILE = 'checkpoint'
-TORCH_MODEL_FILE = 'pytorch_model.bin'
-TENSORFLOW = 'tensorflow'
-PYTORCH = 'pytorch'
diff --git a/tests/pipelines/test_image_matting.py b/tests/pipelines/test_image_matting.py
index 69195bd1..53006317 100644
--- a/tests/pipelines/test_image_matting.py
+++ b/tests/pipelines/test_image_matting.py
@@ -16,15 +16,14 @@ from modelscope.utils.hub import get_model_cache_dir
 class ImageMattingTest(unittest.TestCase):
 
     def setUp(self) -> None:
-        self.model_id = 'damo/cv_unet_image-matting_damo'
+        self.model_id = 'damo/image-matting-person'
         # switch to False if downloading everytime is not desired
         purge_cache = True
         if purge_cache:
             shutil.rmtree(
                 get_model_cache_dir(self.model_id), ignore_errors=True)
 
-    @unittest.skip('deprecated, download model from model hub instead')
-    def test_run_with_direct_file_download(self):
+    def test_run(self):
         model_path = 'http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs' \
                      '.com/data/test/maas/image_matting/matting_person.pb'
         with tempfile.TemporaryDirectory() as tmp_dir: