1 files changed, 4 insertions, 4 deletions

diff --git a/pipelines/stable_diffusion/vlpn_stable_diffusion.py b/pipelines/stable_diffusion/vlpn_stable_diffusion.py
index a43a8e4..53b5eea 100644
--- a/pipelines/stable_diffusion/vlpn_stable_diffusion.py
+++ b/pipelines/stable_diffusion/vlpn_stable_diffusion.py
@@ -318,8 +318,8 @@ class VlpnStableDiffusion(DiffusionPipeline):
         negative_prompt: Optional[Union[str, List[str], List[List[str]]]] = None,
         num_images_per_prompt: Optional[int] = 1,
         strength: float = 0.8,
-        height: Optional[int] = 512,
-        width: Optional[int] = 512,
+        height: Optional[int] = 768,
+        width: Optional[int] = 768,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,
         eta: Optional[float] = 0.0,
@@ -342,9 +342,9 @@ class VlpnStableDiffusion(DiffusionPipeline):
                 number of denoising steps depends on the amount of noise initially added. When `strength` is 1, added
                 noise will be maximum and the denoising process will run for the full number of iterations specified in
                 `num_inference_steps`. A value of 1, therefore, essentially ignores `init_image`.
-            height (`int`, *optional*, defaults to 512):
+            height (`int`, *optional*, defaults to 768):
                 The height in pixels of the generated image.
-            width (`int`, *optional*, defaults to 512):
+            width (`int`, *optional*, defaults to 768):
                 The width in pixels of the generated image.
             num_inference_steps (`int`, *optional*, defaults to 50):
                 The number of denoising steps. More denoising steps usually lead to a higher quality image at the