rm pdb

gradio_demo/runner.py

@@ -35,7 +35,6 @@ class Runner:
             org_dir.mkdir(exist_ok=True)
         print(f'https://huggingface.co/{base_model_id}')
         if token == None:
-            subprocess.run(shlex.split(f'git init'), cwd=org_dir)
             subprocess.run(shlex.split(f'git lfs install'), cwd=org_dir)
             subprocess.run(shlex.split(
                 f'git lfs clone https://huggingface.co/{base_model_id}'),
@@ -90,7 +89,6 @@ class Runner:
         output_dir.mkdir(parents=True, exist_ok=True)
 
         config = OmegaConf.load('configs/black-swan.yaml')
-        import pdb; pdb.set_trace()
         config.pretrained_model_path = self.download_base_model(model_path, token=input_token)
 
         # we remove null-inversion & use fp16 for fast inference on web demo