diff --git a/vllm_omni/diffusion/models/longcat_image/pipeline_longcat_image_edit.py b/vllm_omni/diffusion/models/longcat_image/pipeline_longcat_image_edit.py index 83c4f9a63b..94174067ad 100644 --- a/vllm_omni/diffusion/models/longcat_image/pipeline_longcat_image_edit.py +++ b/vllm_omni/diffusion/models/longcat_image/pipeline_longcat_image_edit.py @@ -466,7 +466,7 @@ def check_inputs( if height % (self.vae_scale_factor * 2) != 0 or width % (self.vae_scale_factor * 2) != 0: logger.warning( "`height` and `width` have to be divisible by " - "{self.vae_scale_factor * 2} but are {height} and {width}. " + f"{self.vae_scale_factor * 2} but are {height} and {width}. " "Dimensions will be resized accordingly" ) diff --git a/vllm_omni/diffusion/models/ovis_image/pipeline_ovis_image.py b/vllm_omni/diffusion/models/ovis_image/pipeline_ovis_image.py index b115afc93e..660338a356 100644 --- a/vllm_omni/diffusion/models/ovis_image/pipeline_ovis_image.py +++ b/vllm_omni/diffusion/models/ovis_image/pipeline_ovis_image.py @@ -328,7 +328,7 @@ def check_inputs( "Provide either `prompt` or `prompt_embeds`. Cannot leave both `prompt` and `prompt_embeds` undefined." ) elif prompt is not None and (not isinstance(prompt, str) and not isinstance(prompt, list)): - raise ValueError("`prompt` has to be of type `str` or `list[str]` but is {type(prompt)}") + raise ValueError(f"`prompt` has to be of type `str` or `list[str]` but is {type(prompt)}") if negative_prompt is not None and negative_prompt_embeds is not None: raise ValueError( diff --git a/vllm_omni/diffusion/models/qwen_image/pipeline_qwen_image.py b/vllm_omni/diffusion/models/qwen_image/pipeline_qwen_image.py index cdae76bf6a..6401b526a5 100644 --- a/vllm_omni/diffusion/models/qwen_image/pipeline_qwen_image.py +++ b/vllm_omni/diffusion/models/qwen_image/pipeline_qwen_image.py @@ -308,7 +308,7 @@ def check_inputs( if height % (self.vae_scale_factor * 2) != 0 or width % (self.vae_scale_factor * 2) != 0: logger.warning( f"`height` and `width` have to be divisible by {self.vae_scale_factor * 2} " - "but are {height} and {width}. Dimensions will be resized accordingly" + f"but are {height} and {width}. Dimensions will be resized accordingly" ) # if callback_on_step_end_tensor_inputs is not None and not all(