fix LatentDiffusionPipeline

src/diffusers/pipelines/pipeline_latent_diffusion.py

@@ -1435,7 +1435,7 @@ class LatentDiffusionPipeline(DiffusionPipeline):
 
         # get text embedding
         text_input = self.tokenizer(prompt, padding="max_length", max_length=77, return_tensors="pt").to(torch_device)
-        text_embedding = self.bert(text_input.input_ids)[0]
+        text_embedding = self.bert(text_input.input_ids)
 
         num_trained_timesteps = self.noise_scheduler.config.timesteps
         inference_step_times = range(0, num_trained_timesteps, num_trained_timesteps // num_inference_steps)