Merge branch 'dev' into onnx

This commit is contained in:
Kohya S
2023-10-09 15:13:40 +09:00
committed by GitHub
4 changed files with 36 additions and 4 deletions

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
- name: typos-action
uses: crate-ci/typos@v1.16.15

View File

@@ -197,9 +197,27 @@ def main(args):
if len(character_tag_text) > 0:
character_tag_text = character_tag_text[2:]
caption_file = os.path.splitext(image_path)[0] + args.caption_extension
tag_text = ", ".join(combined_tags)
with open(os.path.splitext(image_path)[0] + args.caption_extension, "wt", encoding="utf-8") as f:
if args.append_tags:
# Check if file exists
if os.path.exists(caption_file):
with open(caption_file, "rt", encoding="utf-8") as f:
# Read file and remove new lines
existing_content = f.read().strip("\n") # Remove newlines
# Split the content into tags and store them in a list
existing_tags = [tag.strip() for tag in existing_content.split(",") if tag.strip()]
# Check and remove repeating tags in tag_text
new_tags = [tag for tag in combined_tags if tag not in existing_tags]
# Create new tag_text
tag_text = ", ".join(existing_tags + new_tags)
with open(caption_file, "wt", encoding="utf-8") as f:
f.write(tag_text + "\n")
if args.debug:
print(f"\n{image_path}:\n Character tags: {character_tag_text}\n General tags: {general_tag_text}")
@@ -316,9 +334,11 @@ def setup_parser() -> argparse.ArgumentParser:
)
parser.add_argument("--frequency_tags", action="store_true", help="Show frequency of tags for images / 画像ごとのタグの出現頻度を表示する")
parser.add_argument("--onnx", action="store_true", help="use onnx model for inference")
parser.add_argument("--append_tags", action="store_true", help="Append captions instead of overwriting / 上書きではなくキャプションを追記する")
return parser
if __name__ == "__main__":
parser = setup_parser()

View File

@@ -96,6 +96,7 @@ try:
except:
pass
# JPEG-XL on Linux
try:
from jxlpy import JXLImagePlugin
@@ -103,6 +104,14 @@ try:
except:
pass
# JPEG-XL on Windows
try:
import pillow_jxl
IMAGE_EXTENSIONS.extend([".jxl", ".JXL"])
except:
pass
IMAGE_TRANSFORMS = transforms.Compose(
[
transforms.ToTensor(),

View File

@@ -283,7 +283,10 @@ class NetworkTrainer:
if args.dim_from_weights:
network, _ = network_module.create_network_from_weights(1, args.network_weights, vae, text_encoder, unet, **net_kwargs)
else:
# LyCORIS will work with this...
if "dropout" not in net_kwargs:
# workaround for LyCORIS (;^ω^)
net_kwargs["dropout"] = args.network_dropout
network = network_module.create_network(
1.0,
args.network_dim,