pipeline(

latent_consistency_img2img.py

@@ -121,14 +121,6 @@ class LatentConsistencyModelImg2ImgPipeline(DiffusionPipeline):
                 truncation=False,
                 return_tensors="pt",
             )
-            negative_prompt = "ugly"
-            negative_ids = pipeline.tokenizer(
-                negative_prompt, 
-                truncation=False, 
-                padding="max_length",
-                max_length=input_ids.shape[-1], 
-                return_tensors="pt"
-            ).input_ids.to("cuda")
 
             text_input_ids = text_inputs.input_ids("cuda")
             untruncated_ids = self.tokenizer(