diff --git a/docs/source/en/api/pipelines/controlnet_sdxl.md b/docs/source/en/api/pipelines/controlnet_sdxl.md
index 8f0d759218..17312d135d 100644
--- a/docs/source/en/api/pipelines/controlnet_sdxl.md
+++ b/docs/source/en/api/pipelines/controlnet_sdxl.md
@@ -22,7 +22,7 @@ The abstract from the paper is:
 
 We provide support using ControlNets with [Stable Diffusion XL](./stable_diffusion/stable_diffusion_xl.md) (SDXL). 
 
-There are not many ControlNet checkpoints that are compatible with SDXL at the moment. So, we trained one using Canny edge maps as the conditioning images. To know more, check out the [model card](https://huggingface.co/diffusers/controlnet-sdxl-1.0). We encourage you to train custom ControlNets; we provide a [training script](https://github.com/huggingface/diffusers/blob/main/examples/controlnet/README_sdxl.md) for this.
+There are not many ControlNet checkpoints that are compatible with SDXL at the moment. So, we trained one using Canny edge maps as the conditioning images. To know more, check out the [model card](https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0). We encourage you to train custom ControlNets; we provide a [training script](https://github.com/huggingface/diffusers/blob/main/examples/controlnet/README_sdxl.md) for this.
 
 You can find some results below:
 
diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py
index 1a3887b987..02c75ca146 100644
--- a/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py
+++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py
@@ -77,7 +77,9 @@ EXAMPLE_DOC_STRING = """
 
         >>> # initialize the models and pipeline
         >>> controlnet_conditioning_scale = 0.5  # recommended for good generalization
-        >>> controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-sdxl-1.0", torch_dtype=torch.float16)
+        >>> controlnet = ControlNetModel.from_pretrained(
+        ...     "diffusers/controlnet-canny-sdxl-1.0", torch_dtype=torch.float16
+        ... )
         >>> vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
         >>> pipe = StableDiffusionControlNetPipeline.from_pretrained(
         ...     "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet, torch_dtype=torch.float16