omit one yield

app.py

@@ -165,7 +165,7 @@ def flux_pipe_call_that_returns_an_iterable_of_images(
         latents_for_image = self._unpack_latents(latents, height, width, self.vae_scale_factor)
         latents_for_image = (latents_for_image / self.vae.config.scaling_factor) + self.vae.config.shift_factor
         image = self.vae.decode(latents_for_image, return_dict=False)[0]
-        yield self.image_processor.postprocess(image, output_type=output_type)[0]
+        # yield self.image_processor.postprocess(image, output_type=output_type)[0]
         
         latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0]
         torch.cuda.empty_cache()