Apply style fixes

Author: github-actions[bot]

src/diffusers/models/controlnets/controlnet_qwenimage.py

@@ -299,8 +299,8 @@ class QwenImageMultiControlNetModel(ModelMixin, ConfigMixin, PeftAdapterMixin, F
     r"""
     `QwenImageMultiControlNetModel` wrapper class for Multi-QwenImageControlNetModel
 
-    This module is a wrapper for multiple instances of the `QwenImageControlNetModel`. The `forward()` API is designed to be
-    compatible with `QwenImageControlNetModel`.
+    This module is a wrapper for multiple instances of the `QwenImageControlNetModel`. The `forward()` API is designed
+    to be compatible with `QwenImageControlNetModel`.
 
     Args:
         controlnets (`List[QwenImageControlNetModel]`):

src/diffusers/pipelines/qwenimage/__init__.py

@@ -24,10 +24,10 @@
 else:
     _import_structure["modeling_qwenimage"] = ["ReduxImageEncoder"]
     _import_structure["pipeline_qwenimage"] = ["QwenImagePipeline"]
+    _import_structure["pipeline_qwenimage_controlnet"] = ["QwenImageControlNetPipeline"]
     _import_structure["pipeline_qwenimage_edit"] = ["QwenImageEditPipeline"]
     _import_structure["pipeline_qwenimage_img2img"] = ["QwenImageImg2ImgPipeline"]
     _import_structure["pipeline_qwenimage_inpaint"] = ["QwenImageInpaintPipeline"]
-    _import_structure["pipeline_qwenimage_controlnet"] = ["QwenImageControlNetPipeline"]
 
 if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
     try:

src/diffusers/pipelines/qwenimage/pipeline_qwenimage_controlnet.py

@@ -48,28 +48,54 @@
         >>> from diffusers import QwenImageControlNetModel, QwenImageMultiControlNetModel, QwenImageControlNetPipeline
 
         >>> # QwenImageControlNetModel
-        >>> controlnet = QwenImageControlNetModel.from_pretrained("InstantX/Qwen-Image-ControlNet-Union", torch_dtype=torch.bfloat16)
-        >>> pipe = QwenImageControlNetPipeline.from_pretrained("Qwen/Qwen-Image", controlnet=controlnet, torch_dtype=torch.bfloat16)
+        >>> controlnet = QwenImageControlNetModel.from_pretrained(
+        ...     "InstantX/Qwen-Image-ControlNet-Union", torch_dtype=torch.bfloat16
+        ... )
+        >>> pipe = QwenImageControlNetPipeline.from_pretrained(
+        ...     "Qwen/Qwen-Image", controlnet=controlnet, torch_dtype=torch.bfloat16
+        ... )
         >>> pipe.to("cuda")
         >>> prompt = "Aesthetics art, traditional asian pagoda, elaborate golden accents, sky blue and white color palette, swirling cloud pattern, digital illustration, east asian architecture, ornamental rooftop, intricate detailing on building, cultural representation."
         >>> negative_prompt = " "
-        >>> control_image = load_image("https://huggingface.co/InstantX/Qwen-Image-ControlNet-Union/resolve/main/conds/canny.png")
+        >>> control_image = load_image(
+        ...     "https://huggingface.co/InstantX/Qwen-Image-ControlNet-Union/resolve/main/conds/canny.png"
+        ... )
         >>> # Depending on the variant being used, the pipeline call will slightly vary.
         >>> # Refer to the pipeline documentation for more details.
-        >>> image = pipe(prompt, negative_prompt=negative_prompt, control_image=control_image, controlnet_conditioning_scale=1.0, num_inference_steps=30, true_cfg_scale=4.0).images[0]
+        >>> image = pipe(
+        ...     prompt,
+        ...     negative_prompt=negative_prompt,
+        ...     control_image=control_image,
+        ...     controlnet_conditioning_scale=1.0,
+        ...     num_inference_steps=30,
+        ...     true_cfg_scale=4.0,
+        ... ).images[0]
         >>> image.save("qwenimage_cn_union.png")
 
         >>> # QwenImageMultiControlNetModel
-        >>> controlnet = QwenImageControlNetModel.from_pretrained("InstantX/Qwen-Image-ControlNet-Union", torch_dtype=torch.bfloat16)
+        >>> controlnet = QwenImageControlNetModel.from_pretrained(
+        ...     "InstantX/Qwen-Image-ControlNet-Union", torch_dtype=torch.bfloat16
+        ... )
         >>> controlnet = QwenImageMultiControlNetModel([controlnet])
-        >>> pipe = QwenImageControlNetPipeline.from_pretrained("Qwen/Qwen-Image", controlnet=controlnet, torch_dtype=torch.bfloat16)
+        >>> pipe = QwenImageControlNetPipeline.from_pretrained(
+        ...     "Qwen/Qwen-Image", controlnet=controlnet, torch_dtype=torch.bfloat16
+        ... )
         >>> pipe.to("cuda")
         >>> prompt = "Aesthetics art, traditional asian pagoda, elaborate golden accents, sky blue and white color palette, swirling cloud pattern, digital illustration, east asian architecture, ornamental rooftop, intricate detailing on building, cultural representation."
         >>> negative_prompt = " "
-        >>> control_image = load_image("https://huggingface.co/InstantX/Qwen-Image-ControlNet-Union/resolve/main/conds/canny.png")
+        >>> control_image = load_image(
+        ...     "https://huggingface.co/InstantX/Qwen-Image-ControlNet-Union/resolve/main/conds/canny.png"
+        ... )
         >>> # Depending on the variant being used, the pipeline call will slightly vary.
         >>> # Refer to the pipeline documentation for more details.
-        >>> image = pipe(prompt, negative_prompt=negative_prompt, control_image=[control_image, control_image], controlnet_conditioning_scale=[0.5, 0.5], num_inference_steps=30, true_cfg_scale=4.0).images[0]
+        >>> image = pipe(
+        ...     prompt,
+        ...     negative_prompt=negative_prompt,
+        ...     control_image=[control_image, control_image],
+        ...     controlnet_conditioning_scale=[0.5, 0.5],
+        ...     num_inference_steps=30,
+        ...     true_cfg_scale=4.0,
+        ... ).images[0]
         >>> image.save("qwenimage_cn_union_multi.png")
         ```
 """