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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)
49 lines
2.7 KiB
Python
49 lines
2.7 KiB
Python
import time
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from PIL import Image
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from modules import shared
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def interrogate(image):
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if isinstance(image, list):
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image = image[0] if len(image) > 0 else None
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if isinstance(image, dict) and 'name' in image:
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image = Image.open(image['name'])
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if image is None:
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shared.log.error('Interrogate: no image provided')
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return ''
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t0 = time.time()
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if shared.opts.interrogate_default_type == 'OpenCLiP':
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shared.log.info(f'Interrogate: type={shared.opts.interrogate_default_type} clip="{shared.opts.interrogate_clip_model}" blip="{shared.opts.interrogate_blip_model}" mode="{shared.opts.interrogate_clip_mode}"')
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from modules.interrogate import openclip
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openclip.load_interrogator(clip_model=shared.opts.interrogate_clip_model, blip_model=shared.opts.interrogate_blip_model)
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openclip.update_interrogate_params()
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prompt = openclip.interrogate(image, mode=shared.opts.interrogate_clip_mode)
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shared.log.debug(f'Interrogate: time={time.time()-t0:.2f} answer="{prompt}"')
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return prompt
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elif shared.opts.interrogate_default_type == 'Tagger':
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shared.log.info(f'Interrogate: type={shared.opts.interrogate_default_type} model="{shared.opts.waifudiffusion_model}"')
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from modules.interrogate import tagger
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prompt = tagger.tag(
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image=image,
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model_name=shared.opts.waifudiffusion_model,
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general_threshold=shared.opts.tagger_threshold,
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character_threshold=shared.opts.waifudiffusion_character_threshold,
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include_rating=shared.opts.tagger_include_rating,
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exclude_tags=shared.opts.tagger_exclude_tags,
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max_tags=shared.opts.tagger_max_tags,
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sort_alpha=shared.opts.tagger_sort_alpha,
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use_spaces=shared.opts.tagger_use_spaces,
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escape_brackets=shared.opts.tagger_escape_brackets,
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)
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shared.log.debug(f'Interrogate: time={time.time()-t0:.2f} answer="{prompt}"')
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return prompt
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elif shared.opts.interrogate_default_type == 'VLM':
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shared.log.info(f'Interrogate: type={shared.opts.interrogate_default_type} vlm="{shared.opts.interrogate_vlm_model}" prompt="{shared.opts.interrogate_vlm_prompt}"')
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from modules.interrogate import vqa
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prompt = vqa.interrogate(image=image, model_name=shared.opts.interrogate_vlm_model, question=shared.opts.interrogate_vlm_prompt, prompt=None, system_prompt=shared.opts.interrogate_vlm_system)
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shared.log.debug(f'Interrogate: time={time.time()-t0:.2f} answer="{prompt}"')
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return prompt
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else:
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shared.log.error(f'Interrogate: type="{shared.opts.interrogate_default_type}" unknown')
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return ''
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