modify edit

requirements/framework.txt

@@ -2,7 +2,7 @@ albumentations
 beautifulsoup4
 bezier
 einops
-modelscope[framework]
+modelscope[framework]<=1.20.1
 ms-swift
 numpy
 open_clip_torch
@@ -15,4 +15,4 @@ scikit-image
 scikit-learn
 sentencepiece
 torchsde
-transformers
+transformers<=4.46.3

requirements/scepter_studio.txt

@@ -1,4 +1,4 @@
-bitsandbytes
+bitsandbytes<=0.44.1
 gradio
 gradio_imageslider
 imagehash

scepter/studio/chatbot/chatbot.py

@@ -27,7 +27,6 @@ from scepter.modules.utils.config import Config
 from scepter.modules.utils.directory import get_md5
 from scepter.modules.utils.file_system import FS
 from scepter.studio.utils.env import init_env
-import scepter
 from importlib.metadata import version
 
 from .example import get_examples
@@ -67,8 +66,7 @@ class ChatBotUI(object):
         self.cache_dir = cfg.WORK_DIR
         self.chatbot_examples = get_examples(self.cache_dir) if not cfg.get('SKIP_EXAMPLES', False) else []
         self.model_cfg_dir = cfg.MODEL.EDIT_MODEL.MODEL_CFG_DIR
-        self.model_yamls = glob.glob(os.path.join(
-                            os.path.dirname(scepter.dirname), self.model_cfg_dir,
+        self.model_yamls = glob.glob(os.path.join(self.model_cfg_dir,
                                                   '*.yaml'))
         self.model_choices = dict()
         self.default_model_name = ''

scepter/workflow/model_node.py

@@ -166,7 +166,7 @@ class ModelNode:
             input_data.update({'mask': mask})
 
         if parameters:
-            seed = parameters.get('random_seed', -1)
+            seed = parameters.pop('seed', -1)
             input_params.update({'seed': seed})
             input_data.update(parameters)
 

scepter/workflow/parameter_node.py

@@ -59,6 +59,6 @@ class ParameterNode:
             'guide_rescale': guide_rescale,
             'discretization': discretization,
             'target_size_as_tuple': [output_height, output_width],
-            'random_seed': random_seed
+            'seed': random_seed
         }
         return (out, )