InvokeAI/invokeai/backend/util/util.py
psychedelicious b378cfcb46 cleanup: remove unused scripts, cruft
App runs & tests pass.
2024-03-20 15:05:25 +11:00

72 lines
2.2 KiB
Python

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