fix

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py

@@ -81,7 +81,7 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
 
 class StableDiffusionXLImg2ImgPipeline(DiffusionPipeline, FromSingleFileMixin, LoraLoaderMixin):
     r"""
-    Pipeline for text-to-image generation using Stable Diffusion XL.
+    Pipeline for image-to-image generation using Stable Diffusion XL.
 
     This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods the
     library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.)

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_inpaint.py

@@ -186,7 +186,7 @@ class StableDiffusionXLInpaintPipeline(
     DiffusionPipeline, TextualInversionLoaderMixin, LoraLoaderMixin, FromSingleFileMixin
 ):
     r"""
-    Pipeline for text-to-image generation using Stable Diffusion XL.
+    Pipeline for text-guided image inpainting using Stable Diffusion XL.
 
     This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods the
     library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.)
@@ -948,32 +948,28 @@ class StableDiffusionXLInpaintPipeline(
         Examples:
 
         ```py
-        >>> import PIL
-        >>> import requests
         >>> import torch
-        >>> from io import BytesIO
-
-        >>> from diffusers import StableDiffusionInpaintPipeline
-
-
-        >>> def download_image(url):
-        ...     response = requests.get(url)
-        ...     return PIL.Image.open(BytesIO(response.content)).convert("RGB")
+        >>> from diffusers import StableDiffusionXLInpaintPipeline
+        >>> from diffusers.utils import load_image
 
+        >>> pipe = StableDiffusionXLInpaintPipeline.from_pretrained(
+        ...     "stabilityai/stable-diffusion-xl-base-0.9",
+        ...     torch_dtype=torch.float16,
+        ...     variant="fp16",
+        ...     use_safetensors=True,
+        ... )
+        >>> pipe.to("cuda")
 
         >>> img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
         >>> mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
 
-        >>> init_image = download_image(img_url).resize((512, 512))
-        >>> mask_image = download_image(mask_url).resize((512, 512))
+        >>> init_image = load_image(img_url).convert("RGB")
+        >>> mask_image = load_image(mask_url).convert("RGB")
 
-        >>> pipe = StableDiffusionInpaintPipeline.from_pretrained(
-        ...     "runwayml/stable-diffusion-inpainting", torch_dtype=torch.float16
-        ... )
-        >>> pipe = pipe.to("cuda")
-
-        >>> prompt = "Face of a yellow cat, high resolution, sitting on a park bench"
-        >>> image = pipe(prompt=prompt, image=init_image, mask_image=mask_image).images[0]
+        >>> prompt = "A majestic tiger sitting on a bench"
+        >>> image = pipe(
+        ...     prompt=prompt, image=init_image, mask_image=mask_image, num_inference_steps=50, strength=0.80
+        ... ).images[0]
         ```
 
         Returns: