Image-to-Image
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Safetensors
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controlnet
laion
face
mediapipe
ControlNetMediaPipeFace / tool_download_face_targets.py
Joseph Catrambone
First import. Add ControlNetSD21 Laion Face (full, pruned, and safetensors). Add README and samples. Add surrounding tools for example use.
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#!/usr/bin/python3
"""
tool_download_face_targets.py
Reads in the metadata from the LAION images and begins downloading all images.
"""
import json
import os
import sys
import time
import urllib
import urllib.request
try:
from tqdm import tqdm
except ImportError:
# Wrap this method into the identity.
print("TQDM not found. Progress will be quiet without 'verbose'.")
def tqdm(x):
return x
def main(logfile_path: str, verbose: bool = False, pause_between_fetches: float = 0.0):
"""Open the metadata.json file from the training directory and fetch all target images."""
# Toggle a function pointer so we don't have to check verbosity everywhere.
def out(x):
pass
if verbose:
out = print
log = open(logfile_path, 'at')
skipped_image_count = 0
errored_image_count = 0
successful_image_count = 0
if not os.path.exists("training"):
print("ERROR: training directory does not exist in the current directory.")
print("Has the archive been unzipped?")
print("Are you running from the project root?")
return 2 # BASH: No such directory.
if not os.path.exists("training/laion-face-processed/metadata.json"):
print("ERROR: metadata.json was not found in training/laion-face-processed.")
return 2
with open("training/laion-face-processed/metadata.json", 'rt') as md_in:
metadata = json.load(md_in)
# Create the directory for targets if it does not exist.
if not os.path.exists("training/laion-face-processed/target"):
os.mkdir("training/laion-face-processed/target")
for image_id, image_data in tqdm(metadata.items()):
filename = f"training/laion-face-processed/target/{image_id}.jpg"
if os.path.exists(filename):
out(f"Skipping {image_id}: file exists.")
skipped_image_count += 1
continue
if not download_file(image_data['url'], filename, verbose):
error_message = f"Problem downloading {image_id}"
out(error_message)
log.write(error_message + "\n")
log.flush() # Flush often in case we crash.
errored_image_count += 1
if pause_between_fetches > 0.0:
time.sleep(pause_between_fetches)
successful_image_count += 1
log.close()
print("Run success.")
print(f"{skipped_image_count} images skipped")
print(f"{errored_image_count} images failed to download")
print(f"{successful_image_count} images downloaded")
def download_file(url: str, output_path: str, verbose: bool = False) -> bool:
"""Download the file with the given URL and save it to the specified path. Return true on success."""
try:
r = urllib.request.urlopen(url)
if not r.status == 200:
return False
with open(output_path, 'wb') as fout:
fout.write(r.read())
return True
except Exception as e:
if verbose:
print(e)
return False
if __name__ == "__main__":
main("downloads.log", verbose="-v" in sys.argv)