diff --git a/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py b/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py
index ec43988f9389..458e6dbfe7d2 100644
--- a/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py
+++ b/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py
@@ -720,6 +720,7 @@ def __init__(self, config: LDMBertConfig):
         super().__init__(config)
         self.model = LDMBertEncoder(config)
         self.to_logits = nn.Linear(config.hidden_size, config.vocab_size)
+        self.post_init()
 
     def forward(
         self,
diff --git a/src/diffusers/pipelines/paint_by_example/image_encoder.py b/src/diffusers/pipelines/paint_by_example/image_encoder.py
index 74c575ed8653..da1273bcdd52 100644
--- a/src/diffusers/pipelines/paint_by_example/image_encoder.py
+++ b/src/diffusers/pipelines/paint_by_example/image_encoder.py
@@ -35,6 +35,8 @@ def __init__(self, config, proj_size=None):
         # uncondition for scaling
         self.uncond_vector = nn.Parameter(torch.randn((1, 1, self.proj_size)))
 
+        self.post_init()
+
     def forward(self, pixel_values, return_uncond_vector=False):
         clip_output = self.model(pixel_values=pixel_values)
         latent_states = clip_output.pooler_output