KeyError: 'Adapter'

[FunkyFrog1]

Error while loading adapter
It seems that i used wrong ckpt, but I've try
'./IP-Adapter/sdxl_models/ip-adapter_sdxl.bin' './IP-Adapter/sdxl_models/ip-adapter_sdxl.safetensors' './IP-Adapter/sdxl_models/ip-adapter_sdxl_vit-h.bin' './IP-Adapter/sdxl_models/ip-adapter_sdxl_vit-h.safetensors'
And It didn't work

Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 8.14it/s]
Traceback (most recent call last):
File "/mnt/e37aa9fa-bd22-4694-ac4e-d5ecb9d58c1c/brain/SDXL/SDXL_Adapter.py", line 43, in
main()
File "/mnt/e37aa9fa-bd22-4694-ac4e-d5ecb9d58c1c/brain/SDXL/SDXL_Adapter.py", line 29, in main
ip_model = IPAdapterXL(pipe, image_encoder_path, ip_ckpt, 'cuda')
File "/mnt/e37aa9fa-bd22-4694-ac4e-d5ecb9d58c1c/brain/SDXL/Adapter/ip_adapter.py", line 84, in init
self.load_ip_adapter()
File "/mnt/e37aa9fa-bd22-4694-ac4e-d5ecb9d58c1c/brain/SDXL/Adapter/ip_adapter.py", line 137, in load_ip_adapter
ip_layers.load_state_dict(state_dict["Adapter"])
KeyError: 'Adapter'

And here is my code

pipe = load_pipe()
image_encoder_path = './IP-Adapter/sdxl_models/image_encoder'
ip_ckpt = './IP-Adapter/sdxl_models/ip-adapter_sdxl.bin'
ip_model = IPAdapterXL(pipe, image_encoder_path, ip_ckpt, 'cuda')

I refer to the demo

And I download the whole files from here

My packages are:
diffusers==0.28.0 torch==2.3.0 tokenizers==0.19.1 transformers==4.41.1

[FunkyFrog1]

def load_ip_adapter(self):
    if os.path.splitext(self.ip_ckpt)[-1] == ".safetensors":
        state_dict = {"image_proj": {}, "Adapter": {}}
        with safe_open(self.ip_ckpt, framework="pt", device="cpu") as f:
            for key in f.keys():
                print(key)
                if key.startswith("image_proj."):
                    state_dict["image_proj"][key.replace("image_proj.", "")] = f.get_tensor(key)
                elif key.startswith("ip_adapter."):
                    state_dict["Adapter"][key.replace("ip_adapter.", "")] = f.get_tensor(key)
    else:
        state_dict = torch.load(self.ip_ckpt, map_location="cpu")
    self.image_proj_model.load_state_dict(state_dict["image_proj"])
    ip_layers = torch.nn.ModuleList(self.pipe.unet.attn_processors.values())
    ip_layers.load_state_dict(state_dict["Adapter"])

Use safetensors format and replace load_ip_adapter() function in Class IPAdapter may works