Change MAX_IMAGE_SIZE to 16384

Change MAX_IMAGE_SIZE to 16384 to reflect the paper claim :)

app.py

@@ -20,7 +20,7 @@ else:
     torch_dtype = torch.float32
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
+MAX_IMAGE_SIZE = 16384
 pipes = {}
 for model_id, repo_id in all_model_id.items():
     pipes[model_id + '_t2i'] = StableDiffusionPipeline.from_pretrained(repo_id, torch_dtype=torch_dtype)