Support loading textual inversion embeddings from safetensors files
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@ -9,6 +9,7 @@ import tqdm
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import html
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import datetime
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import csv
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import safetensors.torch
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from PIL import Image, PngImagePlugin
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@ -150,6 +151,8 @@ class EmbeddingDatabase:
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name = data.get('name', name)
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elif ext in ['.BIN', '.PT']:
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data = torch.load(path, map_location="cpu")
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elif ext in ['.SAFETENSORS']:
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data = safetensors.torch.load_file(path, device="cpu")
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else:
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return
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