Update app.py

app.py

@@ -31,7 +31,7 @@ pipeline.load_lora_weights(lora_weights_path)
 pipeline = pipeline.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 2048  # Reduce max image size to fit within memory constraints
+MAX_IMAGE_SIZE = 1024  # Reduce max image size to fit within memory constraints
 
 @spaces.GPU
 def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
@@ -165,7 +165,7 @@ with gr.Blocks(css=css) as demo:
                 width = gr.Slider(
                     label="Width",
                     minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
+                    maximum=512,
                     step=32,
                     value=512,
                 )
@@ -173,7 +173,7 @@ with gr.Blocks(css=css) as demo:
                 height = gr.Slider(
                     label="Height",
                     minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
+                    maximum=2048,
                     step=32,
                     value=512,
                 )