diff --git a/CHANGELOG.md b/CHANGELOG.md
index 974b0cae7..a6f65d246 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -126,6 +126,7 @@ However,
     fixes random memory leaks  
   - remove IPEX / Torch 2.0 specific hijacks  
   - add `IPEX_SDPA_SLICE_TRIGGER_RATE`, `IPEX_ATTENTION_SLICE_RATE` and `IPEX_FORCE_ATTENTION_SLICE` env variables  
+  - disable 1024x1024 workaround if the GPU supports 64 bit  
   - fix lock-ups at very high resolutions  
 - **OpenVINO**, thanks @disty0  
   - **4-bit support with NNCF**  
diff --git a/modules/processing.py b/modules/processing.py
index 7a0cd8525..ca0147ce3 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -165,7 +165,7 @@ class StableDiffusionProcessing:
         self.image_cfg_scale = image_cfg_scale
         self.diffusers_guidance_rescale = diffusers_guidance_rescale
         self.sag_scale = sag_scale
-        if devices.backend == "ipex" and width == 1024 and height == 1024 and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
+        if devices.backend == "ipex" and width == 1024 and height == 1024 and not torch.xpu.has_fp64_dtype() and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
             width = 1080
             height = 1080
         self.width: int = width
@@ -1064,7 +1064,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
     def __init__(self, enable_hr: bool = False, denoising_strength: float = 0.75, firstphase_width: int = 0, firstphase_height: int = 0, hr_scale: float = 2.0, hr_force: bool = False, hr_upscaler: str = None, hr_second_pass_steps: int = 0, hr_resize_x: int = 0, hr_resize_y: int = 0, refiner_steps: int = 5, refiner_start: float = 0, refiner_prompt: str = '', refiner_negative: str = '', **kwargs):
 
         super().__init__(**kwargs)
-        if devices.backend == "ipex" and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
+        if devices.backend == "ipex" and not torch.xpu.has_fp64_dtype() and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
             width_curse = bool(hr_resize_x == 1024 and self.height * (hr_resize_x / self.width) == 1024)
             height_curse = bool(hr_resize_y == 1024 and self.width * (hr_resize_y / self.height) == 1024)
             if (width_curse != height_curse) or (height_curse and width_curse):