Update app.py

app.py

@@ -11,7 +11,7 @@ hf_token = os.environ.get("HF_TOKEN")
 login(token=hf_token)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 2048
 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 pipeline = StableDiffusionXLPipeline.from_pretrained(
@@ -144,7 +144,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=1024,
                 )
                 
                 height = gr.Slider(
@@ -152,7 +152,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=1024,
                 )
             
             with gr.Row():