add tqdm

app.py

@@ -281,7 +281,7 @@ def infer(
     # Blur mask
     # data["mask_img"] = data["mask_img"].filter(ImageFilter.GaussianBlur(15))
 
-    # denoise
+    # denoise with tqdm
     outpaint_result = pipe(
         prompt=generated_text,
         negative_prompt="NSFW, (word:1.5), watermark, blurry, missing body, amputation, mutilation",
@@ -292,8 +292,21 @@ def infer(
         guidance_scale=cfg,
         generator=generator,
         repeat_time=repeat_time,
+        progress=progress,
     ).images[0]
 
+    # outpaint_result = pipe(
+    #     prompt=generated_text,
+    #     negative_prompt="NSFW, (word:1.5), watermark, blurry, missing body, amputation, mutilation",
+    #     image=data["input_img"],
+    #     mask_image=data["mask_img"],
+    #     control_image=data["control_img"],
+    #     num_inference_steps=num_inference_steps,
+    #     guidance_scale=cfg,
+    #     generator=generator,
+    #     repeat_time=repeat_time,
+    # ).images[0]
+
     # save result
     outpaint_result = np.array(outpaint_result)
     input_img = np.array(data["input_img"])
@@ -412,7 +425,7 @@ with gr.Blocks(css=css) as demo:
 
                 repeat_time = gr.Slider(
                     label="Repeat time",
-                    minimum=1,
+                    minimum=0,
                     maximum=4,
                     step=1,
                     value=4,