Update app.py

app.py

@@ -142,29 +142,11 @@ def inpaint(image, width, height, overlap_percentage, num_inference_steps, resiz
         num_inference_steps=num_inference_steps,
         guidance_scale=guidance_scale,
     ).images[0]
-   
+
     result = result.convert("RGBA")
-    print("Type of result: {}".format(type(result)))
-    print("Type of mask: {}".format(type(mask)))
-    print("Type of cnet: {}".format(type(cnet_image)))
-    # mask_blur = mask.filter(ImageFilter.GaussianBlur(10))
-    # cnet_image = Image.composite(result, cnet_image, mask)
-    size    = 10; # how many pixel extension do you want to dilate
-    number  = 1;  # numbering purpose
-    name = ""
-    #trimap_mask = trimap(np.array(mask), name, size, number, erosion=False)
-
-    # estimate alpha from image and trimap
-    #alpha = estimate_alpha_cf(np.array(cnet_image), trimap_mask)
-    
-    # make gray background
-    #background = result
-    
-    # estimate foreground from image and alpha
-    #foreground = estimate_foreground_ml(np.array(cnet_image), alpha)
+    cnet_image.paste(result, (0, 0), mask)
     
-    # blend foreground with background and alpha, less color bleeding
-    #new_image = blend(foreground, np.array(background), alpha)
+    mask_blur = mask.filter(ImageFilter.GaussianBlur(50))
     cnet_pure = cnet_image
     cnet_image.paste(result, (0, 0), mask)