test latent fix

pipeline.py

@@ -809,6 +809,9 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
             generator,
             latents,
         )
+        print("noise")
+        print(noise.shape)
+        print(noise)
 
         # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
         extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
@@ -1032,8 +1035,8 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
         )
 
         latents = torch.nn.functional.interpolate(latents, size=(int(height*resize_scale)//8, int(width*resize_scale)//8))
-        print("noise")
-        print(noise)
+        # print("noise")
+        # print(noise)
         
         return self.__call__(
             prompt=prompt,