diff --git a/flytekit/clis/sdk_in_container/constants.py b/flytekit/clis/sdk_in_container/constants.py
index 8f131aace0..67391abb4d 100644
--- a/flytekit/clis/sdk_in_container/constants.py
+++ b/flytekit/clis/sdk_in_container/constants.py
@@ -10,6 +10,7 @@
 CTX_PROJECT_ROOT = "project_root"
 CTX_MODULE = "module"
 CTX_VERBOSE = "verbose"
+CTX_COPY_ALL = "copy_all"
 
 
 project_option = _click.option(
diff --git a/flytekit/clis/sdk_in_container/run.py b/flytekit/clis/sdk_in_container/run.py
index 6689b44c43..9c7228ec46 100644
--- a/flytekit/clis/sdk_in_container/run.py
+++ b/flytekit/clis/sdk_in_container/run.py
@@ -18,6 +18,7 @@
 from flytekit import BlobType, Literal, Scalar
 from flytekit.clis.sdk_in_container.constants import (
     CTX_CONFIG_FILE,
+    CTX_COPY_ALL,
     CTX_DOMAIN,
     CTX_MODULE,
     CTX_PROJECT,
@@ -512,6 +513,13 @@ def get_workflow_command_base_params() -> typing.List[click.Option]:
             default="/root",
             help="Directory inside the image where the tar file containing the code will be copied to",
         ),
+        click.Option(
+            param_decls=["--copy-all", "copy_all"],
+            required=False,
+            is_flag=True,
+            default=False,
+            help="Copy all files in the source root directory to the destination directory",
+        ),
         click.Option(
             param_decls=["-i", "--image", "image_config"],
             required=False,
@@ -643,6 +651,7 @@ def _run(*args, **kwargs):
             destination_dir=run_level_params.get("destination_dir"),
             source_path=ctx.obj[RUN_LEVEL_PARAMS_KEY].get(CTX_PROJECT_ROOT),
             module_name=ctx.obj[RUN_LEVEL_PARAMS_KEY].get(CTX_MODULE),
+            copy_all=ctx.obj[RUN_LEVEL_PARAMS_KEY].get(CTX_COPY_ALL),
         )
 
         options = None
diff --git a/flytekit/remote/remote.py b/flytekit/remote/remote.py
index 8716504dc1..91189ede74 100644
--- a/flytekit/remote/remote.py
+++ b/flytekit/remote/remote.py
@@ -799,17 +799,19 @@ def register_script(
         project: typing.Optional[str] = None,
         domain: typing.Optional[str] = None,
         destination_dir: str = ".",
-        default_launch_plan: typing.Optional[bool] = True,
+        copy_all: bool = False,
+        default_launch_plan: bool = True,
         options: typing.Optional[Options] = None,
         source_path: typing.Optional[str] = None,
         module_name: typing.Optional[str] = None,
     ) -> typing.Union[FlyteWorkflow, FlyteTask]:
         """
         Use this method to register a workflow via script mode.
-        :param destination_dir:
-        :param domain:
-        :param project:
-        :param image_config:
+        :param destination_dir: The destination directory where the workflow will be copied to.
+        :param copy_all: If true, the entire source directory will be copied over to the destination directory.
+        :param domain: The domain to register the workflow in.
+        :param project: The project to register the workflow in.
+        :param image_config: The image config to use for the workflow.
         :param version: version for the entity to be registered as
         :param entity: The workflow to be registered or the task to be registered
         :param default_launch_plan: This should be true if a default launch plan should be created for the workflow
@@ -822,11 +824,14 @@ def register_script(
             image_config = ImageConfig.auto_default_image()
 
         with tempfile.TemporaryDirectory() as tmp_dir:
-            archive_fname = pathlib.Path(os.path.join(tmp_dir, "script_mode.tar.gz"))
-            compress_scripts(source_path, str(archive_fname), module_name)
-            md5_bytes, upload_native_url = self.upload_file(
-                archive_fname, project or self.default_project, domain or self.default_domain
-            )
+            if copy_all:
+                md5_bytes, upload_native_url = self.fast_package(pathlib.Path(source_path), False, tmp_dir)
+            else:
+                archive_fname = pathlib.Path(os.path.join(tmp_dir, "script_mode.tar.gz"))
+                compress_scripts(source_path, str(archive_fname), module_name)
+                md5_bytes, upload_native_url = self.upload_file(
+                    archive_fname, project or self.default_project, domain or self.default_domain
+                )
 
         serialization_settings = SerializationSettings(
             project=project,
diff --git a/tests/flytekit/unit/cli/pyflyte/test_run.py b/tests/flytekit/unit/cli/pyflyte/test_run.py
index d839ab474b..735df4af2c 100644
--- a/tests/flytekit/unit/cli/pyflyte/test_run.py
+++ b/tests/flytekit/unit/cli/pyflyte/test_run.py
@@ -67,6 +67,16 @@ def test_imperative_wf():
     assert result.exit_code == 0
 
 
+def test_copy_all_files():
+    runner = CliRunner()
+    result = runner.invoke(
+        pyflyte.main,
+        ["run", "--copy-all", IMPERATIVE_WORKFLOW_FILE, "wf", "--in1", "hello", "--in2", "world"],
+        catch_exceptions=False,
+    )
+    assert result.exit_code == 0
+
+
 def test_pyflyte_run_cli():
     runner = CliRunner()
     parquet_file = os.path.join(DIR_NAME, "testdata/df.parquet")