Update app.py

app.py

@@ -22,7 +22,7 @@ pipe.load_lora_weights('enhanceaiteam/Flux-uncensored', weight_name='lora.safete
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 2048
 
 
 @spaces.GPU
@@ -54,8 +54,8 @@ def infer(
 
 
 examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
+    "Tiger in a jungle, cold color palette, muted colors, detailed, 8k",
+    "An astronaut riding a pink horse",
     "A delicious ceviche cheesecake slice",
 ]
 
@@ -68,8 +68,8 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(f"""# [FLUX.1](https://blackforestlabs.ai/)
-Generate any type of image.  
+        gr.Markdown(f"""# [FLUX.1-dev](https://blackforestlabs.ai/)
+Generate any type of image with Flux-Dev (Lora: Flux-uncensored).  Note: This script works well, but please use min. ZeroGPU
 """)
 
         with gr.Row():