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https://github.com/invoke-ai/InvokeAI
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fix: use Path for ip_adapter_ckpt_path instead of str
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@ -1,6 +1,7 @@
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# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0)
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# and modified as needed
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import pathlib
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from typing import List, Optional, TypedDict, Union
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import safetensors
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@ -10,7 +11,6 @@ from PIL import Image
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from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
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from invokeai.backend.ip_adapter.ip_attention_weights import IPAttentionWeights
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from invokeai.backend.util.devices import choose_torch_device
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from ..raw_model import RawModel
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from .resampler import Resampler
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@ -206,10 +206,10 @@ class IPAdapterPlusXL(IPAdapterPlus):
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).to(self.device, dtype=self.dtype)
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def load_ip_adapter_tensors(ip_adapter_ckpt_path: str, device: str) -> IPAdapterStateDict:
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def load_ip_adapter_tensors(ip_adapter_ckpt_path: pathlib.Path, device: str) -> IPAdapterStateDict:
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state_dict: IPAdapterStateDict = {"ip_adapter": {}, "image_proj": {}}
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if ip_adapter_ckpt_path.endswith("safetensors"):
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if ip_adapter_ckpt_path.stem == "safetensors":
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model = safetensors.torch.load_file(ip_adapter_ckpt_path, device=device)
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for key in model.keys():
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if key.startswith("image_proj."):
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@ -219,14 +219,14 @@ def load_ip_adapter_tensors(ip_adapter_ckpt_path: str, device: str) -> IPAdapter
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else:
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raise RuntimeError(f"Encountered unexpected IP Adapter state dict key: '{key}'.")
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else:
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ip_adapter_diffusers_checkpoint_path = ip_adapter_ckpt_path + "/ip_adapter.bin"
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ip_adapter_diffusers_checkpoint_path = ip_adapter_ckpt_path / "ip_adapter.bin"
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state_dict = torch.load(ip_adapter_diffusers_checkpoint_path, map_location="cpu")
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return state_dict
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def build_ip_adapter(
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ip_adapter_ckpt_path: str, device: torch.device, dtype: torch.dtype = torch.float16
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ip_adapter_ckpt_path: pathlib.Path, device: torch.device, dtype: torch.dtype = torch.float16
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) -> Union[IPAdapter, IPAdapterPlus, IPAdapterPlusXL, IPAdapterPlus]:
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state_dict = load_ip_adapter_tensors(ip_adapter_ckpt_path, device.type)
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@ -26,7 +26,7 @@ class IPAdapterInvokeAILoader(ModelLoader):
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raise ValueError("There are no submodels in an IP-Adapter model.")
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model_path = Path(config.path)
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model: RawModel = build_ip_adapter(
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ip_adapter_ckpt_path=str(model_path),
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ip_adapter_ckpt_path=model_path,
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device=torch.device("cpu"),
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dtype=self._torch_dtype,
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)
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