diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet.py
index 89398b6f01..2a86ee0dfe 100644
--- a/src/diffusers/pipelines/controlnet/pipeline_controlnet.py
+++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet.py
@@ -611,7 +611,7 @@ class StableDiffusionControlNetPipeline(DiffusionPipeline, TextualInversionLoade
             and not image_is_np_list
         ):
             raise TypeError(
-                "image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors"
+                f"image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors, but is {type(image)}"
             )
 
         if image_is_pil:
diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py
index 0e984d8ae5..e42b279584 100644
--- a/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py
+++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py
@@ -638,7 +638,7 @@ class StableDiffusionControlNetImg2ImgPipeline(DiffusionPipeline, TextualInversi
             and not image_is_np_list
         ):
             raise TypeError(
-                "image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors"
+                f"image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors, but is {type(image)}"
             )
 
         if image_is_pil:
diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py
index 5ce2fd5543..165e2d88dc 100644
--- a/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py
+++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py
@@ -770,7 +770,7 @@ class StableDiffusionControlNetInpaintPipeline(DiffusionPipeline, TextualInversi
             and not image_is_np_list
         ):
             raise TypeError(
-                "image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors"
+                f"image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors, but is {type(image)}"
             )
 
         if image_is_pil:
@@ -1306,7 +1306,10 @@ class StableDiffusionControlNetInpaintPipeline(DiffusionPipeline, TextualInversi
                     init_mask = mask[:1]
 
                     if i < len(timesteps) - 1:
-                        init_latents_proper = self.scheduler.add_noise(init_latents_proper, noise, torch.tensor([t]))
+                        noise_timestep = timesteps[i + 1]
+                        init_latents_proper = self.scheduler.add_noise(
+                            init_latents_proper, noise, torch.tensor([noise_timestep])
+                        )
 
                     latents = (1 - init_mask) * init_latents_proper + init_mask * latents
 
diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
index b07a5555f1..d958f0e3fb 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
@@ -1038,7 +1038,10 @@ class StableDiffusionInpaintPipeline(DiffusionPipeline, TextualInversionLoaderMi
                     init_mask = mask[:1]
 
                     if i < len(timesteps) - 1:
-                        init_latents_proper = self.scheduler.add_noise(init_latents_proper, noise, torch.tensor([t]))
+                        noise_timestep = timesteps[i + 1]
+                        init_latents_proper = self.scheduler.add_noise(
+                            init_latents_proper, noise, torch.tensor([noise_timestep])
+                        )
 
                     latents = (1 - init_mask) * init_latents_proper + init_mask * latents