mirror of
https://github.com/huggingface/diffusers.git
synced 2026-01-27 17:22:53 +03:00
5652c43f83
* resolve bf16 error * resolve bf16 error * resolve bf16 error * resolve bf16 error * resolve bf16 error * resolve bf16 error * resolve bf16 error
88 lines
3.2 KiB
Python
88 lines
3.2 KiB
Python
# Copyright 2023 Custom Diffusion authors. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import argparse
|
|
import os
|
|
from io import BytesIO
|
|
from pathlib import Path
|
|
|
|
import requests
|
|
from clip_retrieval.clip_client import ClipClient
|
|
from PIL import Image
|
|
from tqdm import tqdm
|
|
|
|
|
|
def retrieve(class_prompt, class_data_dir, num_class_images):
|
|
factor = 1.5
|
|
num_images = int(factor * num_class_images)
|
|
client = ClipClient(
|
|
url="https://knn.laion.ai/knn-service", indice_name="laion_400m", num_images=num_images, aesthetic_weight=0.1
|
|
)
|
|
|
|
os.makedirs(f"{class_data_dir}/images", exist_ok=True)
|
|
if len(list(Path(f"{class_data_dir}/images").iterdir())) >= num_class_images:
|
|
return
|
|
|
|
while True:
|
|
class_images = client.query(text=class_prompt)
|
|
if len(class_images) >= factor * num_class_images or num_images > 1e4:
|
|
break
|
|
else:
|
|
num_images = int(factor * num_images)
|
|
client = ClipClient(
|
|
url="https://knn.laion.ai/knn-service",
|
|
indice_name="laion_400m",
|
|
num_images=num_images,
|
|
aesthetic_weight=0.1,
|
|
)
|
|
|
|
count = 0
|
|
total = 0
|
|
pbar = tqdm(desc="downloading real regularization images", total=num_class_images)
|
|
|
|
with open(f"{class_data_dir}/caption.txt", "w") as f1, open(f"{class_data_dir}/urls.txt", "w") as f2, open(
|
|
f"{class_data_dir}/images.txt", "w"
|
|
) as f3:
|
|
while total < num_class_images:
|
|
images = class_images[count]
|
|
count += 1
|
|
try:
|
|
img = requests.get(images["url"], timeout=30)
|
|
if img.status_code == 200:
|
|
_ = Image.open(BytesIO(img.content))
|
|
with open(f"{class_data_dir}/images/{total}.jpg", "wb") as f:
|
|
f.write(img.content)
|
|
f1.write(images["caption"] + "\n")
|
|
f2.write(images["url"] + "\n")
|
|
f3.write(f"{class_data_dir}/images/{total}.jpg" + "\n")
|
|
total += 1
|
|
pbar.update(1)
|
|
else:
|
|
continue
|
|
except Exception:
|
|
continue
|
|
return
|
|
|
|
|
|
def parse_args():
|
|
parser = argparse.ArgumentParser("", add_help=False)
|
|
parser.add_argument("--class_prompt", help="text prompt to retrieve images", required=True, type=str)
|
|
parser.add_argument("--class_data_dir", help="path to save images", required=True, type=str)
|
|
parser.add_argument("--num_class_images", help="number of images to download", default=200, type=int)
|
|
return parser.parse_args()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
args = parse_args()
|
|
retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)
|