Added another example

app.py

@@ -19,22 +19,28 @@ MIN_SIZE = 0.01
 WHITE = 255
 COLORS = ["red", "blue", "green", "orange", "purple", "turquoise", "olive"]
 
-PROMPT1 = "3D Pixar animation of a cute unicorn and a pink hedgehog and a nerdy owl traveling in a magical forest"
-PROMPT2 = "science fiction movie poster with an astronaut and a robot and a green alien and a spaceship"
-PROMPT3 = "a golden retriever and a german shepherd and a boston terrier and an english bulldog and a border collie in a pool"
+PROMPT2 = "3 D Pixar animation of a cute unicorn and a pink hedgehog and a nerdy owl traveling in a magical forest"
+PROMPT3 = "science fiction movie poster with an astronaut and a robot and a green alien and a spaceship"
+PROMPT4 = "a realistic photo of a highway with a semi trailer and a concrete mixer and a helicopter"
+PROMPT5 = "a golden retriever and a german shepherd and a boston terrier and an english bulldog and a border collie in a pool"
 EXAMPLE_BOXES = {
-    PROMPT1 : [
+    PROMPT2 : [
         [0.35, 0.4, 0.65, 0.9],
         [0, 0.6, 0.3, 0.9],
         [0.7, 0.55, 1, 0.85]
     ],
-    PROMPT2: [
+    PROMPT3: [
         [0.4, 0.45, 0.6, 0.95],
         [0.2, 0.3, 0.4, 0.85],
         [0.6, 0.3, 0.8, 0.85],
         [0.1, 0, 0.9, 0.3]
     ],
-    PROMPT3: [
+    PROMPT4: [
+        [0.05, 0.5, 0.45, 0.85],
+        [0.55, 0.6, 0.95, 0.85],
+        [0.3, 0.2, 0.7, 0.45],
+    ],
+    PROMPT5: [
         [0, 0.5, 0.2, 0.8],
         [0.2, 0.2, 0.4, 0.5],
         [0.4, 0.5, 0.6, 0.8],
@@ -97,7 +103,8 @@ COPY_LINK = """
     <a href="https://huggingface.co/spaces/omer11a/bounded-attention?duplicate=true">
     <img src="https://bit.ly/3gLdBN6" alt="Duplicate Space">
     </a>
-    Duplicate this space to generate more samples without waiting in queue
+    Duplicate this space to generate more samples without waiting in queue.
+    To get better results, use our code on your own GPU and increase the number of guidance steps to 15.
 """
 ADVANCED_OPTION_DESCRIPTION = """
     <div class="tooltip" >Number of guidance steps &#9432
@@ -195,7 +202,7 @@ def inference(
     return model(prompts, latents=start_code, guidance_scale=classifier_free_guidance_scale).images
 
 
-@spaces.GPU(duration=350)
+@spaces.GPU(duration=340)
 def generate(
     prompt,
     subject_token_indices,
@@ -392,19 +399,25 @@ def main():
                 #inputs=[prompt, subject_token_indices, filter_token_indices, num_tokens],
                 examples=[
                     [
-                        PROMPT1, "7,8,17;11,12,17;15,16,17", "5,6,9,10,13,14,18,19", "21",
+                        PROMPT2, "7,8,17;11,12,17;15,16,17", "5,6,9,10,13,14,18,19", "21",
                         25, 18, 3, 1, 1,
                         7.5, 1, 5, 0.2, 8,
                         286,
                     ],
                     [
-                        PROMPT2, "7;10;13,14;17", "5,6,8,9,11,12,15,16", "17",
+                        PROMPT3, "7;10;13,14;17", "5,6,8,9,11,12,15,16", "17",
                         18, 12, 3, 1, 1,
                         7.5, 1, 5, 0.2, 8,
                         216,
                     ],
                     [
-                        PROMPT3, "2,3;6,7;10,11;14,15;18,19", "1,4,5,8,9,12,13,16,17,20,21", "22",
+                        PROMPT4, "9,10;13,14;17", "1,4,5,7,8,11,12,15,16", "17",
+                        25, 18, 3, 1, 1,
+                        7.5, 1, 5, 0.2, 8,
+                        86,
+                    ],
+                    [
+                        PROMPT5, "2,3;6,7;10,11;14,15;18,19", "1,4,5,8,9,12,13,16,17,20,21", "22",
                         18, 12, 3, 1, 1,
                         7.5, 1, 5, 0.2, 8,
                         156,