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https://github.com/vladmandic/sdnext.git
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6b10f0df4f
Rename WD14 module and settings to WaifuDiffusion: - Rename wd14.py to waifudiffusion.py - Rename WD14Tagger class to WaifuDiffusionTagger - Rename WD14_MODELS constant to WAIFUDIFFUSION_MODELS - Rename settings: wd14_model -> waifudiffusion_model, wd14_character_threshold -> waifudiffusion_character_threshold - Update all log messages from "WD14" to "WaifuDiffusion" Code quality improvements: - Simplify threshold parameter defaulting using `or` operator - Extract save_output logic into _save_tags_to_file() helper with isolated error handling to prevent single file failures from impacting entire batch - Fix timing log format consistency (remove 's' suffix)
80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
# Unified Tagger Interface - Dispatches to WaifuDiffusion or DeepBooru based on model selection
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# Provides a common interface for the Booru Tags tab
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from modules import shared
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DEEPBOORU_MODEL = "DeepBooru"
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def get_models() -> list:
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"""Return combined list: DeepBooru + WaifuDiffusion models."""
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from modules.interrogate import waifudiffusion
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return [DEEPBOORU_MODEL] + waifudiffusion.get_models()
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def refresh_models() -> list:
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"""Refresh and return all models."""
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return get_models()
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def is_deepbooru(model_name: str) -> bool:
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"""Check if selected model is DeepBooru."""
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return model_name == DEEPBOORU_MODEL
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def load_model(model_name: str) -> bool:
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"""Load appropriate backend."""
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if is_deepbooru(model_name):
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from modules.interrogate import deepbooru
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return deepbooru.load_model()
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else:
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from modules.interrogate import waifudiffusion
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return waifudiffusion.load_model(model_name)
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def unload_model():
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"""Unload both backends to ensure memory is freed."""
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from modules.interrogate import deepbooru, waifudiffusion
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deepbooru.unload_model()
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waifudiffusion.unload_model()
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def tag(image, model_name: str = None, **kwargs) -> str:
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"""Unified tagging - dispatch to correct backend.
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Args:
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image: PIL Image to tag
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model_name: Model to use (DeepBooru or WaifuDiffusion model name)
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**kwargs: Additional arguments passed to the backend
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Returns:
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Formatted tag string
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"""
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if model_name is None:
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model_name = shared.opts.waifudiffusion_model
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if is_deepbooru(model_name):
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from modules.interrogate import deepbooru
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return deepbooru.tag(image, **kwargs)
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else:
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from modules.interrogate import waifudiffusion
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return waifudiffusion.tag(image, model_name=model_name, **kwargs)
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def batch(model_name: str, **kwargs) -> str:
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"""Unified batch processing.
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Args:
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model_name: Model to use (DeepBooru or WaifuDiffusion model name)
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**kwargs: Additional arguments passed to the backend
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Returns:
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Combined tag results
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"""
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if is_deepbooru(model_name):
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from modules.interrogate import deepbooru
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return deepbooru.batch(model_name=model_name, **kwargs)
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else:
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from modules.interrogate import waifudiffusion
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return waifudiffusion.batch(model_name=model_name, **kwargs)
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