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Develop and deploy innovative applications with Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.
Develop and deploy innovative applications with Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.
Develop and deploy innovative applications with Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.
Develop and deploy innovative applications with Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions. Korean.
Develop and deploy innovative applications with Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.
Develop and deploy innovative applications with Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions. korean
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and customized AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and customized AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and customized AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions."
Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and customized AI solutions.
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions."
"Use Azure AI and machine learning tools to develop and deploy innovative applications. Maximize business value with automated machine learning, pre-built AI models, and customized AI solutions."
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.

Automated Machine Learning
Pre-built AI Models
Custom AI Solutions"
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.

Automated Machine Learning
Pre-built AI Models
Custom AI Solutions"
"Develop and deploy innovative applications using Azure AI and machine learning tools. Maximize business value with automated machine learning, pre-built AI models, and custom AI solutions.

Automated Machine Learning  
Pre-built AI Models  
Custom AI Solutions"
model
Describe the bug  
What error message is this, but it won't cause the task to fail, it will only keep printing, thank you.  

Reproduction  
import torch  
from diffusers import StableDiffusionXLPipeline  
from diffusers.image_processor import IPAdapterMaskProcessor  
from diffusers.utils import load_image  
from transformers import CLIPVisionModelWithProjection  

image_encoder = CLIPVisionModelWithProjection.from_pretrained(  
"./repository/h94-IP-Adapter",  
subfolder="models/image_encoder",  
torch_dtype=torch.float16  
)  
pipeline = StableDiffusionXLPipeline.from_pretrained("./repository/stable-diffusion-xl-base-1.0",  
image_encoder=image_encoder,  
torch_dtype=torch.float16,  
use_safetensors=True,  
).to("cuda")  
pipeline.enable_model_cpu_offload()  

pipeline.load_ip_adapter("./repository/h94-IP-Adapter", subfolder="sdxl_models",  
weight_name=["ip-adapter-plus-face_sdxl_vit-h.safetensors"] * 2)  
pipeline.set_ip_adapter_scale([0.6] * 2)  
generator = torch.Generator(device="cpu").manual_seed(4)  
mask1 = load_image(  
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/ip_mask_mask1.png")  
mask2 = load_image(  
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/ip_mask_mask2.png")  
output_height = 1024  
output_width = 1024  
processor = IPAdapterMaskProcessor()  
masks = processor.preprocess([mask1, mask2, ])  
face_image1 = load_image(  
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/ip_mask_girl1.png")  
face_image2 = load_image(  
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/ip_mask_girl2.png")  
ip_images = [[face_image1], [face_image2]]  
image = pipeline(  
prompt="2 girls",  
ip_adapter_image=ip_images,  
negative_prompt="monochrome, lowres, bad anatomy, worst quality, low quality",  
num_inference_steps=20,  
num_images_per_prompt=1,  
generator=generator,  
cross_attention_kwargs={"ip_adapter_masks": masks}  
).images[0]  
image.save("test.png")  

Logs  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
cross_attention_kwargs ['ip_adapter_masks'] are not expected by AttnProcessor2_0 and will be ignored.  
System Info  
diffusers 0.27.2 python 3.10 windows  

Who can help?  
No response.

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