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import os
from typing import List, Dict
from pathlib import Path
from modules import shared, scripts
from preload import default_ddp_path, default_onnx_path
from tagger.preset import Preset
from tagger.interrogator import Interrogator, DeepDanbooruInterrogator, WaifuDiffusionInterrogator
preset = Preset(Path(scripts.basedir(), 'presets'))
interrogators: Dict[str, Interrogator] = {}
def refresh_interrogators() -> List[str]:
global interrogators
interrogators = {
'wd14-vit-v2': WaifuDiffusionInterrogator(
'wd14-vit-v2',
repo_id='SmilingWolf/wd-v1-4-vit-tagger-v2',
revision='v2.0'
),
'wd14-convnext-v2': WaifuDiffusionInterrogator(
'wd14-convnext-v2',
repo_id='SmilingWolf/wd-v1-4-convnext-tagger-v2',
revision='v2.0'
),
'wd14-swinv2-v2': WaifuDiffusionInterrogator(
'wd14-swinv2-v2',
repo_id='SmilingWolf/wd-v1-4-swinv2-tagger-v2',
revision='v2.0'
),
'wd14-vit-v2-git': WaifuDiffusionInterrogator(
'wd14-vit-v2-git',
repo_id='SmilingWolf/wd-v1-4-vit-tagger-v2'
),
'wd14-convnext-v2-git': WaifuDiffusionInterrogator(
'wd14-convnext-v2-git',
repo_id='SmilingWolf/wd-v1-4-convnext-tagger-v2'
),
'wd14-swinv2-v2-git': WaifuDiffusionInterrogator(
'wd14-swinv2-v2-git',
repo_id='SmilingWolf/wd-v1-4-swinv2-tagger-v2'
),
'wd14-vit': WaifuDiffusionInterrogator(
'wd14-vit',
repo_id='SmilingWolf/wd-v1-4-vit-tagger'),
'wd14-convnext': WaifuDiffusionInterrogator(
'wd14-convnext',
repo_id='SmilingWolf/wd-v1-4-convnext-tagger'
),
#'Z3D-E621-convnext': WaifuDiffusionInterrogator(
# 'Z3D-E621-convnext',
# model_path=r'SmilingWolf/wd-v1-4-convnext-tagger',
# tags_path=r''
#),
}
# load deepdanbooru project
os.makedirs(
getattr(shared.cmd_opts, 'deepdanbooru_projects_path', default_ddp_path),
exist_ok=True
)
os.makedirs(
getattr(shared.cmd_opts, 'onnxtagger_path', default_onnx_path),
exist_ok=True
)
for path in os.scandir(shared.cmd_opts.deepdanbooru_projects_path):
if not path.is_dir():
continue
if not Path(path, 'project.json').is_file():
continue
interrogators[path.name] = DeepDanbooruInterrogator(path.name, path)
#scan for onnx models as well
for path in os.scandir(shared.cmd_opts.onnxtagger_path):
if not path.is_dir():
continue
#if no file with the extension .onnx is found, skip. If there is more than one file with that name, warn. Else put it in model_path
onnx_files = [x for x in os.scandir(path) if x.name.endswith('.onnx')]
if len(onnx_files) == 0:
print(f"Warning: {path} has no model, skipping")
continue
elif len(onnx_files) > 1:
print(f"Warning: {path} has multiple models, skipping")
continue
model_path = Path(path, onnx_files[0].name)
if not Path(path, 'tags-selected.csv').is_file():
print(f"Warning: {path} has a model but no tags-selected.csv file, skipping")
continue
interrogators[path.name] = WaifuDiffusionInterrogator(path.name,model_path=model_path, tags_path=Path(path, 'tags-selected.csv'))
return sorted(interrogators.keys())
def split_str(s: str, separator=',') -> List[str]:
return [x.strip() for x in s.split(separator) if x]
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