Update app.py

app.py

@@ -16,9 +16,32 @@ else:
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 3072
+
+# def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+
+#     if randomize_seed:
+#         seed = random.randint(0, MAX_SEED)
+        
+#     generator = torch.Generator().manual_seed(seed)
+    
+#     image = pipe(
+#         prompt = prompt, 
+#         negative_prompt = negative_prompt,
+#         guidance_scale = guidance_scale, 
+#         num_inference_steps = num_inference_steps, 
+#         width = width, 
+#         height = height,
+#         generator = generator
+#     ).images[0] 
+    
+#     return image
+
+
 
 def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+    # Append Moroccan and Amazigh art styles to the prompt
+    style_prompt = f"{prompt}, inspired by Moroccan and Amazigh arts, traditional motifs, vibrant colors, and intricate patterns."
 
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -26,7 +49,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     generator = torch.Generator().manual_seed(seed)
     
     image = pipe(
-        prompt = prompt, 
+        prompt = style_prompt, 
         negative_prompt = negative_prompt,
         guidance_scale = guidance_scale, 
         num_inference_steps = num_inference_steps, 
@@ -37,6 +60,9 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     
     return image
 
+
+
+
 examples = [
     "Sunset over the Atlas Mountains",
     "Traditional Amazigh jewelry under the moonlight",