mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
b378cfcb46
App runs & tests pass.
72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
import base64
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import io
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import os
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import warnings
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from pathlib import Path
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from diffusers import logging as diffusers_logging
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from PIL import Image
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from transformers import logging as transformers_logging
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# actual size of a gig
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GIG = 1073741824
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def directory_size(directory: Path) -> int:
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"""
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Return the aggregate size of all files in a directory (bytes).
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"""
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sum = 0
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for root, dirs, files in os.walk(directory):
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for f in files:
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sum += Path(root, f).stat().st_size
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for d in dirs:
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sum += Path(root, d).stat().st_size
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return sum
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def image_to_dataURL(image: Image.Image, image_format: str = "PNG") -> str:
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"""
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Converts an image into a base64 image dataURL.
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"""
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buffered = io.BytesIO()
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image.save(buffered, format=image_format)
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mime_type = Image.MIME.get(image_format.upper(), "image/" + image_format.lower())
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image_base64 = f"data:{mime_type};base64," + base64.b64encode(buffered.getvalue()).decode("UTF-8")
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return image_base64
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class Chdir(object):
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"""Context manager to chdir to desired directory and change back after context exits:
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Args:
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path (Path): The path to the cwd
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"""
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def __init__(self, path: Path):
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self.path = path
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self.original = Path().absolute()
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def __enter__(self):
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os.chdir(self.path)
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def __exit__(self, *args):
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os.chdir(self.original)
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class SilenceWarnings(object):
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"""Context manager to temporarily lower verbosity of diffusers & transformers warning messages."""
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def __enter__(self):
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"""Set verbosity to error."""
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self.transformers_verbosity = transformers_logging.get_verbosity()
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self.diffusers_verbosity = diffusers_logging.get_verbosity()
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transformers_logging.set_verbosity_error()
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diffusers_logging.set_verbosity_error()
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warnings.simplefilter("ignore")
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def __exit__(self, type, value, traceback):
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"""Restore logger verbosity to state before context was entered."""
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transformers_logging.set_verbosity(self.transformers_verbosity)
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diffusers_logging.set_verbosity(self.diffusers_verbosity)
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warnings.simplefilter("default")
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