add docs.

Author: sayakpaul

src/diffusers/__init__.py

@@ -489,10 +489,10 @@
             "PixArtAlphaPipeline",
             "PixArtSigmaPAGPipeline",
             "PixArtSigmaPipeline",
+            "QwenImageEditPipeline",
             "QwenImageImg2ImgPipeline",
             "QwenImageInpaintPipeline",
             "QwenImagePipeline",
-            "QwenImageEditPipeline",
             "ReduxImageEncoder",
             "SanaControlNetPipeline",
             "SanaPAGPipeline",

src/diffusers/pipelines/qwenimage/__init__.py

@@ -24,9 +24,9 @@
 else:
     _import_structure["modeling_qwenimage"] = ["ReduxImageEncoder"]
     _import_structure["pipeline_qwenimage"] = ["QwenImagePipeline"]
+    _import_structure["pipeline_qwenimage_edit"] = ["QwenImageEditPipeline"]
     _import_structure["pipeline_qwenimage_img2img"] = ["QwenImageImg2ImgPipeline"]
     _import_structure["pipeline_qwenimage_inpaint"] = ["QwenImageInpaintPipeline"]
-    _import_structure["pipeline_qwenimage_edit"] = ["QwenImageEditPipeline"]
 
 if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
     try:

src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit.py

@@ -46,15 +46,20 @@
         >>> import torch
         >>> from PIL import Image
         >>> from diffusers import QwenImageEditPipeline
+        >>> from diffusers.utils import load_image
 
         >>> pipe = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit", torch_dtype=torch.bfloat16)
         >>> pipe.to("cuda")
-        >>> prompt = "Change the cat to a dog"
-        >>> image = Image.open("cat.png")
+        >>> image = load_image(
+        ...     "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/yarn-art-pikachu.png"
+        ... ).convert("RGB")
+        >>> prompt = (
+        ...     "Make Pikachu hold a sign that says 'Qwen Edit is awesome', yarn art style, detailed, vibrant colors"
+        ... )
         >>> # Depending on the variant being used, the pipeline call will slightly vary.
         >>> # Refer to the pipeline documentation for more details.
         >>> image = pipe(image, prompt, num_inference_steps=50).images[0]
-        >>> image.save("qwenimageedit.png")
+        >>> image.save("qwenimage_edit.png")
         ```
 """
 PREFERRED_QWENIMAGE_RESOLUTIONS = [