mirror of https://github.com/vladmandic/automatic
103 lines
4.4 KiB
Python
103 lines
4.4 KiB
Python
import os
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import json
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import concurrent
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import network
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import networks
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from modules import shared, ui_extra_networks
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class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage):
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def __init__(self):
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super().__init__('Lora')
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self.list_time = 0
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def refresh(self):
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networks.list_available_networks()
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def create_item(self, name):
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l = networks.available_networks.get(name)
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try:
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path, _ext = os.path.splitext(l.filename)
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name = os.path.splitext(os.path.relpath(l.filename, shared.cmd_opts.lora_dir))[0]
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if shared.backend == shared.Backend.ORIGINAL:
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if l.sd_version == network.SdVersion.SDXL:
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return None
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elif shared.backend == shared.Backend.DIFFUSERS:
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if shared.sd_model_type == 'none': # return all when model is not loaded
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pass
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elif shared.sd_model_type == 'sdxl':
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if l.sd_version == network.SdVersion.SD1 or l.sd_version == network.SdVersion.SD2:
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return None
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elif shared.sd_model_type == 'sd':
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if l.sd_version == network.SdVersion.SDXL:
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return None
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item = {
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"type": 'Lora',
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"name": name,
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"filename": l.filename,
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"hash": l.shorthash,
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"preview": self.find_preview(l.filename),
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"prompt": json.dumps(f" <lora:{l.get_alias()}:{shared.opts.extra_networks_default_multiplier}>"),
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"local_preview": f"{path}.{shared.opts.samples_format}",
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"metadata": json.dumps(l.metadata, indent=4) if l.metadata else None,
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"mtime": os.path.getmtime(l.filename),
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"size": os.path.getsize(l.filename),
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}
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info = self.find_info(l.filename)
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tags = {}
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possible_tags = l.metadata.get('ss_tag_frequency', {}) if l.metadata is not None else {} # tags from model metedata
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if isinstance(possible_tags, str):
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possible_tags = {}
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for k, v in possible_tags.items():
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words = k.split('_', 1) if '_' in k else [v, k]
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words = [str(w).replace('.json', '') for w in words]
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if words[0] == '{}':
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words[0] = 0
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tag = ' '.join(words[1:])
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tags[tag] = words[0]
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versions = info.get('modelVersions', []) # trigger words from info json
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for v in versions:
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possible_tags = v.get('trainedWords', [])
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if isinstance(possible_tags, list):
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for tag in possible_tags:
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if tag not in tags:
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tags[tag] = 0
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search = {}
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possible_tags = info.get('tags', []) # tags from info json
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if not isinstance(possible_tags, list):
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possible_tags = [v for v in possible_tags.values()]
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for v in possible_tags:
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search[v] = 0
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if len(list(tags)) == 0:
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tags = search
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bad_chars = [';', ':', '<', ">", "*", '?', '\'', '\"']
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clean_tags = {}
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for k, v in tags.items():
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tag = ''.join(i for i in k if not i in bad_chars)
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clean_tags[tag] = v
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item["info"] = info
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item["description"] = self.find_description(l.filename, info) # use existing info instead of double-read
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item["tags"] = clean_tags
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item["search_term"] = f'{self.search_terms_from_path(l.filename)} {" ".join(tags.keys())} {" ".join(search.keys())}'
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return item
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except Exception as e:
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shared.log.debug(f"Extra networks error: type=lora file={name} {e}")
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return None
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def list_items(self):
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with concurrent.futures.ThreadPoolExecutor(max_workers=shared.max_workers) as executor:
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future_items = {executor.submit(self.create_item, net): net for net in networks.available_networks}
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for future in concurrent.futures.as_completed(future_items):
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item = future.result()
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if item is not None:
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yield item
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def allowed_directories_for_previews(self):
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return [shared.cmd_opts.lora_dir, shared.cmd_opts.lyco_dir]
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