test latent fix

pipeline.py

@@ -633,6 +633,7 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
                 else:
                     latents = torch.randn(shape, generator=generator, device=device, dtype=dtype)
             else:
+                print(latents)
                 if latents.shape != shape:
                     raise ValueError(f"Unexpected latents shape, got {latents.shape}, expected {shape}")
                 latents = latents.to(device)