diff --git a/onediff_diffusers_extensions/README.md b/onediff_diffusers_extensions/README.md
index 7dbdd1cfc..4082ebc10 100644
--- a/onediff_diffusers_extensions/README.md
+++ b/onediff_diffusers_extensions/README.md
@@ -3,7 +3,7 @@
 OneDiffX is a OneDiff Extension for HF diffusers. It provides some acceleration utilities, such as DeepCache.
 
 - [Install and Setup](#install-and-setup)
-- [compile_pipe](#compile_pipe)
+- [Compile, save and load pipeline](#compile-save-and-load-pipeline)
 - [DeepCache Speedup](#deepcache-speedup)
     - [Stable Diffusion XL](#run-stable-diffusion-xl-with-onediffx)
     - [Stable Diffusion 1.5](#run-stable-diffusion-15-with-onediffx)
@@ -21,9 +21,9 @@ OneDiffX is a OneDiff Extension for HF diffusers. It provides some acceleration
     git clone https://github.com/siliconflow/onediff.git
     cd onediff_diffusers_extensions && python3 -m pip install -e .
     ```
-## compile_pipe
-Compile diffusers pipeline with `compile_pipe`.
-```
+## Compile, save and load pipeline
+### Compile diffusers pipeline with `compile_pipe`.
+```python
 import torch
 from diffusers import StableDiffusionXLPipeline
 
@@ -40,6 +40,40 @@ pipe.to("cuda")
 pipe = compile_pipe(pipe)
 ```
 
+### Save compiled pipeline with `save_pipe`
+```python
+from diffusers import StableDiffusionXLPipeline
+from onediffx import compile_pipe, save_pipe
+pipe = StableDiffusionXLPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    torch_dtype=torch.float16,
+    variant="fp16",
+    use_safetensors=True
+)
+pipe.to("cuda")
+
+pipe = compile_pipe(pipe)
+
+save_pipe(pipe, dir="cached_pipe")
+```
+
+### Load compiled pipeline with `load_pipe`
+```python
+from diffusers import StableDiffusionXLPipeline
+from onediffx import compile_pipe, load_pipe
+pipe = StableDiffusionXLPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    torch_dtype=torch.float16,
+    variant="fp16",
+    use_safetensors=True
+)
+pipe.to("cuda")
+
+pipe = compile_pipe(pipe)
+
+load_pipe(pipe, dir="cached_pipe")
+```
+
 ## DeepCache speedup
 
 ### Run Stable Diffusion XL with OneDiffX
diff --git a/onediff_diffusers_extensions/onediffx/compilers/diffusion_pipeline_compiler.py b/onediff_diffusers_extensions/onediffx/compilers/diffusion_pipeline_compiler.py
index e3de1599c..c05607e00 100644
--- a/onediff_diffusers_extensions/onediffx/compilers/diffusion_pipeline_compiler.py
+++ b/onediff_diffusers_extensions/onediffx/compilers/diffusion_pipeline_compiler.py
@@ -67,10 +67,10 @@ def compile_pipe(
 
 
 def save_pipe(
-    pipe, dst_dir="cached_pipe", *, ignores=(), overwrite=True
+    pipe, dir="cached_pipe", *, ignores=(), overwrite=True
 ):
-    if not os.path.exists(dst_dir):
-        os.makedirs(dst_dir)
+    if not os.path.exists(dir):
+        os.makedirs(dir)
     filtered_parts = _filter_parts(ignores=ignores)
     for part in filtered_parts:
         obj = _recursive_getattr(pipe, part, None)
@@ -80,24 +80,24 @@ def save_pipe(
             and obj._deployable_module_dpl_graph is not None
             and obj.get_graph().is_compiled
         ):
-            if not overwrite and os.path.isfile(os.path.join(dst_dir, part)):
+            if not overwrite and os.path.isfile(os.path.join(dir, part)):
                 logger.info(f"Compiled graph already exists for {part}, not overwriting it.")
                 continue
             logger.info(f"Saving {part}")
-            obj.save_graph(os.path.join(dst_dir, part))
+            obj.save_graph(os.path.join(dir, part))
 
 
 def load_pipe(
-    pipe, src_dir="cached_pipe", *, ignores=(),
+    pipe, dir="cached_pipe", *, ignores=(),
 ):
-    if not os.path.exists(src_dir):
+    if not os.path.exists(dir):
         return
     filtered_parts = _filter_parts(ignores=ignores)
     for part in filtered_parts:
         obj = _recursive_getattr(pipe, part, None)
-        if obj is not None and os.path.exists(os.path.join(src_dir, part)):
+        if obj is not None and os.path.exists(os.path.join(dir, part)):
             logger.info(f"Loading {part}")
-            obj.load_graph(os.path.join(src_dir, part))
+            obj.load_graph(os.path.join(dir, part))
 
     if "image_processor" not in ignores:
         logger.info("Patching image_processor")