test latent fix

pipeline.py

@@ -638,12 +638,12 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
                     raise ValueError(f"Unexpected latents shape, got {latents.shape}, expected {shape}")
                 latents = latents.to(device)
 
-                if upscale:
-                        return latents, None, None
+                # if upscale:
+                #         return latents, None, None
             # scale the initial noise by the standard deviation required by the scheduler
-                else:
-                    latents = latents * self.scheduler.init_noise_sigma
-                    return latents, None, None
+                # else:
+                latents = latents * self.scheduler.init_noise_sigma
+                return latents, None, None
         else:
             init_latent_dist = self.vae.encode(image).latent_dist
             init_latents = init_latent_dist.sample(generator=generator)