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feat(scripts): add model type guessing script (#210)
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from collections import Counter | ||
from logging import getLogger | ||
from onnx import load_model | ||
from os import path | ||
from safetensors import safe_open | ||
from sys import argv | ||
from typing import Callable, List | ||
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import onnx_web | ||
import torch | ||
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logger = getLogger(__name__) | ||
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CheckFunc = Callable[[str], List[str]] | ||
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def check_file_extension(filename: str) -> List[str]: | ||
""" | ||
Check the file extension | ||
""" | ||
_name, ext = path.splitext(filename) | ||
ext = ext.removeprefix(".") | ||
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if ext != "": | ||
return [f"format:{ext}"] | ||
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return [] | ||
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def check_file_diffusers(filename: str) -> List[str]: | ||
""" | ||
Check for a diffusers directory with model_index.json | ||
""" | ||
if path.isdir(filename) and path.exists(path.join(filename, "model_index.json")): | ||
return ["model:diffusion"] | ||
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return [] | ||
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def check_parser_safetensor(filename: str) -> List[str]: | ||
""" | ||
Attempt to load as a safetensor | ||
""" | ||
try: | ||
if path.isfile(filename): | ||
# only try to parse files | ||
safe_open(filename, framework="pt") | ||
return ["format:safetensor"] | ||
except Exception as e: | ||
logger.debug("error parsing as safetensor: %s", e) | ||
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return [] | ||
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def check_parser_torch(filename: str) -> List[str]: | ||
""" | ||
Attempt to load as a torch tensor | ||
""" | ||
try: | ||
if path.isfile(filename): | ||
# only try to parse files | ||
torch.load(filename) | ||
return ["format:torch"] | ||
except Exception as e: | ||
logger.debug("error parsing as torch tensor: %s", e) | ||
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return [] | ||
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def check_parser_onnx(filename: str) -> List[str]: | ||
""" | ||
Attempt to load as an ONNX model | ||
""" | ||
try: | ||
if path.isfile(filename): | ||
load_model(filename) | ||
return ["format:onnx"] | ||
except Exception as e: | ||
logger.debug("error parsing as ONNX model: %s", e) | ||
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return [] | ||
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def check_network_lora(filename: str) -> List[str]: | ||
""" | ||
TODO: Check for LoRA keys | ||
""" | ||
return [] | ||
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def check_network_inversion(filename: str) -> List[str]: | ||
""" | ||
TODO: Check for Textual Inversion keys | ||
""" | ||
return [] | ||
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ALL_CHECKS: List[CheckFunc] = [ | ||
check_file_diffusers, | ||
check_file_extension, | ||
check_network_inversion, | ||
check_network_lora, | ||
check_parser_onnx, | ||
check_parser_safetensor, | ||
check_parser_torch, | ||
] | ||
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def check_file(filename: str) -> Counter: | ||
logger.info("checking file: %s", filename) | ||
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counts = Counter() | ||
for check in ALL_CHECKS: | ||
logger.info("running check: %s", check.__name__) | ||
counts.update(check(filename)) | ||
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common = counts.most_common() | ||
logger.info("file %s is most likely: %s", filename, common) | ||
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if __name__ == "__main__": | ||
for file in argv[1:]: | ||
check_file(file) |
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@@ -61,6 +61,7 @@ | |
"rocm", | ||
"RRDB", | ||
"runwayml", | ||
"safetensor", | ||
"safetensors", | ||
"scandir", | ||
"scipy", | ||
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