fix: add missing f-string prefixes across pipelines and schedulers

src/diffusers/pipelines/controlnet/pipeline_controlnet.py

@@ -236,7 +236,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py

@@ -214,7 +214,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py

@@ -217,7 +217,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/controlnet_hunyuandit/pipeline_hunyuandit_controlnet.py

@@ -259,7 +259,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deepfloyd_if/pipeline_if.py

@@ -150,7 +150,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deepfloyd_if/pipeline_if_img2img.py

@@ -174,7 +174,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deepfloyd_if/pipeline_if_img2img_superresolution.py

@@ -180,13 +180,13 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 
         if unet is not None and unet.config.in_channels != 6:
             logger.warning(
-                "It seems like you have loaded a checkpoint that shall not be used for super resolution from {unet.config._name_or_path} as it accepts {unet.config.in_channels} input channels instead of 6. Please make sure to pass a super resolution checkpoint as the `'unet'`: IFSuperResolutionPipeline.from_pretrained(unet=super_resolution_unet, ...)`."
+                f"It seems like you have loaded a checkpoint that shall not be used for super resolution from {unet.config._name_or_path} as it accepts {unet.config.in_channels} input channels instead of 6. Please make sure to pass a super resolution checkpoint as the `'unet'`: IFSuperResolutionPipeline.from_pretrained(unet=super_resolution_unet, ...)`."
             )
 
         self.register_modules(

src/diffusers/pipelines/deepfloyd_if/pipeline_if_inpainting.py

@@ -177,7 +177,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deepfloyd_if/pipeline_if_inpainting_superresolution.py

@@ -182,13 +182,13 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 
         if unet is not None and unet.config.in_channels != 6:
             logger.warning(
-                "It seems like you have loaded a checkpoint that shall not be used for super resolution from {unet.config._name_or_path} as it accepts {unet.config.in_channels} input channels instead of 6. Please make sure to pass a super resolution checkpoint as the `'unet'`: IFSuperResolutionPipeline.from_pretrained(unet=super_resolution_unet, ...)`."
+                f"It seems like you have loaded a checkpoint that shall not be used for super resolution from {unet.config._name_or_path} as it accepts {unet.config.in_channels} input channels instead of 6. Please make sure to pass a super resolution checkpoint as the `'unet'`: IFSuperResolutionPipeline.from_pretrained(unet=super_resolution_unet, ...)`."
             )
 
         self.register_modules(

src/diffusers/pipelines/deepfloyd_if/pipeline_if_superresolution.py

@@ -138,13 +138,13 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 
         if unet is not None and unet.config.in_channels != 6:
             logger.warning(
-                "It seems like you have loaded a checkpoint that shall not be used for super resolution from {unet.config._name_or_path} as it accepts {unet.config.in_channels} input channels instead of 6. Please make sure to pass a super resolution checkpoint as the `'unet'`: IFSuperResolutionPipeline.from_pretrained(unet=super_resolution_unet, ...)`."
+                f"It seems like you have loaded a checkpoint that shall not be used for super resolution from {unet.config._name_or_path} as it accepts {unet.config.in_channels} input channels instead of 6. Please make sure to pass a super resolution checkpoint as the `'unet'`: IFSuperResolutionPipeline.from_pretrained(unet=super_resolution_unet, ...)`."
             )
 
         self.register_modules(

src/diffusers/pipelines/deprecated/alt_diffusion/pipeline_alt_diffusion.py

@@ -249,7 +249,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -277,7 +277,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/controlnet_xs/pipeline_controlnet_xs.py

@@ -174,7 +174,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py

@@ -82,7 +82,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_attend_and_excite/pipeline_stable_diffusion_attend_and_excite.py

@@ -242,7 +242,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_diffedit/pipeline_stable_diffusion_diffedit.py

@@ -342,7 +342,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_gligen/pipeline_stable_diffusion_gligen.py

@@ -166,7 +166,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_gligen/pipeline_stable_diffusion_gligen_text_image.py

@@ -227,7 +227,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_ldm3d/pipeline_stable_diffusion_ldm3d.py

@@ -257,7 +257,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_panorama/pipeline_stable_diffusion_panorama.py

@@ -228,7 +228,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_safe/pipeline_stable_diffusion_safe.py

@@ -122,7 +122,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py

@@ -210,7 +210,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
         is_unet_version_less_0_9_0 = (

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_onnx_stable_diffusion_inpaint_legacy.py

@@ -133,7 +133,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_inpaint_legacy.py

@@ -180,7 +180,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_model_editing.py

@@ -108,7 +108,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_paradigms.py

@@ -132,7 +132,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_pix2pix_zero.py

@@ -350,7 +350,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/hunyuandit/pipeline_hunyuandit.py

@@ -232,7 +232,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_text2img.py

@@ -204,7 +204,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/ledits_pp/pipeline_leditspp_stable_diffusion.py

@@ -364,7 +364,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/pag/pipeline_pag_controlnet_sd.py

@@ -244,7 +244,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/pag/pipeline_pag_controlnet_sd_inpaint.py

@@ -218,7 +218,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/pag/pipeline_pag_hunyuandit.py

@@ -237,7 +237,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )
 

src/diffusers/pipelines/pag/pipeline_pag_sd.py

@@ -255,7 +255,7 @@ def __init__(
 
         if safety_checker is not None and feature_extractor is None:
             raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
+                f"Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
                 " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
             )