fix: 'PaintByExampleImageEncoder' object has no attribute 'all_tied_w… (#13252)

* fix: 'PaintByExampleImageEncoder' object has no attribute 'all_tied_weights_keys'

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* also fix LDMBertModel

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

---------

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>

Author: kaixuanliu

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,

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