fix

mvdream/pipeline_mvdream.py

@@ -499,6 +499,7 @@ class MVDreamPipeline(DiffusionPipeline):
         # Prepare extra step kwargs.
         extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
 
+        multiplier = 2 if do_classifier_free_guidance else 1
         context = torch.cat([prompt_embeds_neg] * actual_num_frames + [prompt_embeds_pos] * actual_num_frames)
         torch.cat([camera] * multiplier)
 
@@ -511,7 +512,6 @@ class MVDreamPipeline(DiffusionPipeline):
         with self.progress_bar(total=num_inference_steps) as progress_bar:
             for i, t in enumerate(timesteps):
                 # expand the latents if we are doing classifier free guidance
-                multiplier = 2 if do_classifier_free_guidance else 1
                 latent_model_input = torch.cat([latents] * multiplier)
                 latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)