mirror of
https://github.com/invoke-ai/InvokeAI
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38 lines
1.0 KiB
Python
Executable File
38 lines
1.0 KiB
Python
Executable File
#!/usr/bin/env python
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"""
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Read a checkpoint/safetensors file and compare it to a template .json.
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Returns True if their metadata match.
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"""
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import sys
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import argparse
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import json
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from pathlib import Path
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from invokeai.backend.model_management.models.base import read_checkpoint_meta
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parser = argparse.ArgumentParser(description="Compare a checkpoint/safetensors file to a JSON metadata template.")
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parser.add_argument("--checkpoint", "--in", type=Path, help="Path to the input checkpoint/safetensors file")
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parser.add_argument("--template", "--out", type=Path, help="Path to the template .json file to match against")
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opt = parser.parse_args()
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ckpt = read_checkpoint_meta(opt.checkpoint)
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while "state_dict" in ckpt:
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ckpt = ckpt["state_dict"]
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checkpoint_metadata = {}
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for key, tensor in ckpt.items():
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checkpoint_metadata[key] = list(tensor.shape)
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with open(opt.template, "r") as f:
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template = json.load(f)
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if checkpoint_metadata == template:
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print("True")
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sys.exit(0)
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else:
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print("False")
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sys.exit(-1)
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