update space

app.py

@@ -18,12 +18,12 @@ if torch.cuda.is_available():
     pipe = pipe.to(device)
 else:
     pipe = DiffusionPipeline.from_pretrained(
-        "stabilityai/sdxl-turbo", torch_dtype=torch.float16, use_safetensors=True
+        "stabilityai/sdxl-turbo", use_safetensors=True
     )
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 512
+MAX_IMAGE_SIZE = 256
 
 
 def infer(
@@ -123,7 +123,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=256,
                 )
 
                 height = gr.Slider(
@@ -131,7 +131,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=512,
+                    value=256,
                 )
 
             with gr.Row():