test interpolate latent

pipeline.py

@@ -843,7 +843,7 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
         print(latents)
         print(latents.shape)
         resized_image = torch.nn.functional.interpolate(
-            latents, size=(int(latents.shape[2]*resize_scale)//8, int(latents.shape[3]*resize_scale)//8))
+            latents, size=(int(height*resize_scale)//8, int(width*resize_scale)//8))
 
         print(resized_image.shape)
         #do latent upscale  here