diff --git a/CHANGELOG.md b/CHANGELOG.md
index d0b2d7722..14cd38a34 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,7 +7,12 @@
 - https://github.com/huggingface/diffusers/pull/8566
 - https://github.com/huggingface/diffusers/pull/8584
 
-## Update for 2024-06-16
+## Update for 2024-06-17
+
+### Highlights for 2024-06-17
+
+Following zero-day **SD3** release, a week later here's a refresh with more than a few improvements.  
+Other than SD3, highlight is (finally) new release of **Torch-DirectML** as well as ability to use explicit **T5** text-encoder in many supported models!  
 
 ### Improvements: SD3
 
@@ -47,6 +52,7 @@
 - fix control api negative prompt handling
 - fix saving style without name provided
 - fix t2i-color adapter
+- fix sdxl "has been incorrectly initialized"
 - restructure api examples: `cli/api-*`
 - handle theme fallback when invalid theme is specified
 - remove obsolete training code leftovers
diff --git a/modules/pag/pipe_sdxl.py b/modules/pag/pipe_sdxl.py
index 1576926d1..13ba99bd5 100644
--- a/modules/pag/pipe_sdxl.py
+++ b/modules/pag/pipe_sdxl.py
@@ -446,6 +446,7 @@ class StableDiffusionXLPAGPipeline(
         feature_extractor: CLIPImageProcessor = None,
         force_zeros_for_empty_prompt: bool = True,
         add_watermarker: Optional[bool] = None,
+        requires_aesthetics_score: Optional[bool] = None, # todo: patch SDXLPAG pipeline
     ):
         super().__init__()
 
@@ -461,12 +462,11 @@ class StableDiffusionXLPAGPipeline(
             feature_extractor=feature_extractor,
         )
         self.register_to_config(force_zeros_for_empty_prompt=force_zeros_for_empty_prompt)
+        self.register_to_config(requires_aesthetics_score=requires_aesthetics_score)
         self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
         self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor)
-
         self.default_sample_size = self.unet.config.sample_size
-
-        add_watermarker = add_watermarker if add_watermarker is not None else is_invisible_watermark_available()
+        add_watermarker = False
 
         if add_watermarker:
             self.watermark = StableDiffusionXLWatermarker()