if prompt_embeds is None:

latent_consistency_img2img.py

@@ -118,11 +118,11 @@ class LatentConsistencyModelImg2ImgPipeline(DiffusionPipeline):
                 prompt,
                 padding="max_length",
                 max_length=self.tokenizer.model_max_length,
-                truncation=False,
+                truncation=True,
                 return_tensors="pt",
             )
 
-            text_input_ids = text_inputs.input_ids()
+            text_input_ids = text_inputs.input_ids
             untruncated_ids = self.tokenizer(
                 prompt, padding="longest", return_tensors="pt"
             ).input_ids