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cleanup: use load_file of safetensors directly for loading ip adapters
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@ -3,12 +3,14 @@
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from typing import List, Optional, TypedDict, Union
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import safetensors
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import safetensors.torch
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import torch
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from PIL import Image
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from safetensors import safe_open
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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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@ -208,12 +210,12 @@ def load_ip_adapter_tensors(ip_adapter_ckpt_path: str, device: str) -> IPAdapter
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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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model = safe_open(ip_adapter_ckpt_path, device=device, framework="pt")
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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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state_dict["image_proj"][key.replace("image_proj.", "")] = model.get_tensor(key)
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state_dict["image_proj"][key.replace("image_proj.", "")] = model[key]
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elif key.startswith("ip_adapter."):
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state_dict["ip_adapter"][key.replace("ip_adapter.", "")] = model.get_tensor(key)
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state_dict["ip_adapter"][key.replace("ip_adapter.", "")] = model[key]
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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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