as

latent_consistency_img2img.py

@@ -122,7 +122,7 @@ class LatentConsistencyModelImg2ImgPipeline(DiffusionPipeline):
                 return_tensors="pt",
             )
 
-            text_input_ids = text_inputs.input_ids("cuda")
+            text_input_ids = text_inputs.input_ids()
             untruncated_ids = self.tokenizer(
                 prompt, padding="longest", return_tensors="pt"
             ).input_ids