diff --git a/iopaint/web_config.py b/iopaint/web_config.py
index 948957d..761116b 100644
--- a/iopaint/web_config.py
+++ b/iopaint/web_config.py
@@ -1,7 +1,12 @@
+import os
+
+os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
+
 from datetime import datetime
 from json import JSONDecodeError
 
 import gradio as gr
+from iopaint.download import scan_models
 from loguru import logger
 
 from iopaint.const import *
@@ -59,7 +64,7 @@ def save_config(
         config.input = None
     if str(config.output_dir) == ".":
         config.output_dir = None
-
+    config.model = config.model.strip()
     print(config.model_dump_json(indent=4))
     if config.input and not os.path.exists(config.input):
         return "[Error] Input file or directory does not exist"
@@ -75,11 +80,16 @@ def save_config(
     return msg
 
 
+def change_current_model(new_model):
+    return new_model
+
+
 def main(config_file: Path):
     global _config_file
     _config_file = config_file
 
     init_config = load_config(config_file)
+    downloaded_models = [it.name for it in scan_models()]
 
     with gr.Blocks() as demo:
         with gr.Row():
@@ -95,11 +105,22 @@ def main(config_file: Path):
                     host = gr.Textbox(init_config.host, label="Host")
                     port = gr.Number(init_config.port, label="Port", precision=0)
 
-                model = gr.Radio(
-                    AVAILABLE_MODELS + DIFFUSION_MODELS,
-                    label="Models (https://www.iopaint.com/models)",
-                    value=init_config.model,
-                )
+                with gr.Column():
+                    model = gr.Textbox(
+                        init_config.model,
+                        label="Current Model. This is the model that will be used when the service starts. "
+                        "If the model has not been downloaded before, it will be automatically downloaded. "
+                        "You can select a model from the dropdown box below or manually enter the SD/SDXL model ID from HuggingFace, for example, runwayml/stable-diffusion-inpainting.",
+                    )
+                with gr.Row():
+                    recommend_model = gr.Dropdown(
+                        ["lama", "mat", "migan"] + DIFFUSION_MODELS,
+                        label="Recommend Models",
+                    )
+                    downloaded_model = gr.Dropdown(
+                        downloaded_models, label="Downloaded Models"
+                    )
+
                 device = gr.Radio(
                     Device.values(), label="Device", value=init_config.device
                 )
@@ -196,6 +217,9 @@ def main(config_file: Path):
                         value=init_config.restoreformer_device,
                     )
 
+        downloaded_model.change(change_current_model, [downloaded_model], model)
+        recommend_model.change(change_current_model, [recommend_model], model)
+
         save_btn.click(
             save_config,
             [