diff --git a/src/diffusers/pipelines/flux2/pipeline_flux2.py b/src/diffusers/pipelines/flux2/pipeline_flux2.py
index d1d702ffb1..7822ba9303 100644
--- a/src/diffusers/pipelines/flux2/pipeline_flux2.py
+++ b/src/diffusers/pipelines/flux2/pipeline_flux2.py
@@ -861,7 +861,6 @@ class Flux2Pipeline(DiffusionPipeline, Flux2LoraLoaderMixin):
         if output_type == "latent":
             image = latents
         else:
-            torch.save({"pred": latents}, "pred_d.pt")
             latents = self._unpack_latents_with_ids(latents, latent_ids)
 
             latents_bn_mean = self.vae.bn.running_mean.view(1, -1, 1, 1).to(latents.device, latents.dtype)