diff --git a/.env.example b/.env.example
index e19e5d7..a2c9dfb 100644
--- a/.env.example
+++ b/.env.example
@@ -16,3 +16,7 @@ USE_VAE="false"
 #  - `LORA_DOWNLOAD_URLS="https://civitai.com/api/download/models/xxxxxx,https://civitai.com/api/download/models/xxxxxx"`
 LORA_NAMES=""
 LORA_DOWNLOAD_URLS=""
+
+# Add Textual Inversion you wan to use. Usage is the same as `LORA_NAMES` and `LORA_DOWNLOAD_URLS`.
+TEXTUAL_INVERSION_NAMES=""
+TEXTUAL_INVERSION_DOWNLOAD_URLS=""
diff --git a/sd_cli.py b/sd_cli.py
index 3240a3d..fe02b82 100644
--- a/sd_cli.py
+++ b/sd_cli.py
@@ -11,20 +11,21 @@ import util
 
 BASE_CACHE_PATH = "/vol/cache"
 BASE_CACHE_PATH_LORA = "/vol/cache/lora"
+BASE_CACHE_PATH_TEXTUAL_INVERSION = "/vol/cache/textual_inversion"
 
 
-def download_loras():
+def download_files(urls, file_names, file_path):
     """
-    Download LoRA.
+    Download files.
     """
-    lora_names = os.getenv("LORA_NAMES").split(",")
-    lora_download_urls = os.getenv("LORA_DOWNLOAD_URLS").split(",")
+    file_names = file_names.split(",")
+    urls = urls.split(",")
 
-    for name, url in zip(lora_names, lora_download_urls):
+    for file_name, url in zip(file_names, urls):
         req = Request(url, headers={"User-Agent": "Mozilla/5.0"})
         downloaded = urlopen(req).read()
 
-        dir_names = os.path.join(BASE_CACHE_PATH_LORA, name)
+        dir_names = os.path.join(file_path, file_name)
         os.makedirs(os.path.dirname(dir_names), exist_ok=True)
         with open(dir_names, mode="wb") as f:
             f.write(downloaded)
@@ -71,7 +72,18 @@ def build_image():
     download_models()
 
     if os.environ["LORA_NAMES"] != "":
-        download_loras()
+        download_files(
+            os.getenv("LORA_DOWNLOAD_URLS"),
+            os.getenv("LORA_NAMES"),
+            BASE_CACHE_PATH_LORA,
+        )
+
+    if os.environ["TEXTUAL_INVERSION_NAMES"] != "":
+        download_files(
+            os.getenv("TEXTUAL_INVERSION_DOWNLOAD_URLS"),
+            os.getenv("TEXTUAL_INVERSION_NAMES"),
+            BASE_CACHE_PATH_TEXTUAL_INVERSION,
+        )
 
 
 stub_image = Image.from_dockerfile(
@@ -124,15 +136,28 @@ class StableDiffusion:
         self.pipe.to("cuda")
 
         if os.environ["LORA_NAMES"] != "":
-            lora_names = os.getenv("LORA_NAMES").split(",")
-            for lora_name in lora_names:
-                path_to_lora = os.path.join(BASE_CACHE_PATH_LORA, lora_name)
-                if os.path.exists(path_to_lora):
-                    print(f"The directory '{path_to_lora}' exists.")
+            names = os.getenv("LORA_NAMES").split(",")
+            urls = os.getenv("LORA_DOWNLOAD_URLS").split(",")
+            for name, url in zip(names, urls):
+                path = os.path.join(BASE_CACHE_PATH_LORA, name)
+                if os.path.exists(path):
+                    print(f"The directory '{path}' exists.")
                 else:
-                    print(f"The directory '{path_to_lora}' does not exist. Download loras...")
-                    download_loras()
-                self.pipe.load_lora_weights(".", weight_name=path_to_lora)
+                    print(f"The directory '{path}' does not exist. Download it...")
+                    download_files(url, name, BASE_CACHE_PATH_LORA)
+                self.pipe.load_lora_weights(".", weight_name=path)
+
+        if os.environ["TEXTUAL_INVERSION_NAMES"] != "":
+            names = os.getenv("TEXTUAL_INVERSION_NAMES").split(",")
+            urls = os.getenv("TEXTUAL_INVERSION_DOWNLOAD_URLS").split(",")
+            for name, url in zip(names, urls):
+                path = os.path.join(BASE_CACHE_PATH_TEXTUAL_INVERSION, name)
+                if os.path.exists(path):
+                    print(f"The directory '{path}' exists.")
+                else:
+                    print(f"The directory '{path}' does not exist. Download it...")
+                    download_files(url, name, BASE_CACHE_PATH_TEXTUAL_INVERSION)
+                self.pipe.load_textual_inversion(path)
 
         self.pipe.enable_xformers_memory_efficient_attention()