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import json |
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import os |
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import shutil |
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import tempfile |
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import time |
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from typing import List |
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import requests |
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import glob |
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from tqdm import tqdm |
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from modules import shared, sd_models, sd_vae, hashes |
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from modules.paths import models_path |
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from civitai.models import Command, ResourceRequest |
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try: |
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base_url = shared.cmd_opts.civitai_endpoint |
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except: |
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base_url = 'https://civitai.com/api/v1' |
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connected = False |
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user_agent = 'CivitaiLink:Automatic1111' |
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download_chunk_size = 8192 |
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cache_key = 'civitai' |
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def log(message): |
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"""Log a message to the console.""" |
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print(f'Civitai: {message}') |
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def download_file(url, dest, on_progress=None): |
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if os.path.exists(dest): |
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log(f'File already exists: {dest}') |
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log(f'Downloading: "{url}" to {dest}\n') |
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response = requests.get(url, stream=True, headers={"User-Agent": user_agent}) |
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total = int(response.headers.get('content-length', 0)) |
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start_time = time.time() |
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dest = os.path.expanduser(dest) |
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dst_dir = os.path.dirname(dest) |
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f = tempfile.NamedTemporaryFile(delete=False, dir=dst_dir) |
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try: |
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current = 0 |
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with tqdm(total=total, unit='B', unit_scale=True, unit_divisor=1024) as bar: |
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for data in response.iter_content(chunk_size=download_chunk_size): |
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current += len(data) |
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pos = f.write(data) |
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bar.update(pos) |
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if on_progress is not None: |
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should_stop = on_progress(current, total, start_time) |
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if should_stop == True: |
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raise Exception('Download cancelled') |
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f.close() |
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shutil.move(f.name, dest) |
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except OSError as e: |
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print(f"Could not write the preview file to {dst_dir}") |
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print(e) |
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finally: |
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f.close() |
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if os.path.exists(f.name): |
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os.remove(f.name) |
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def req(endpoint, method='GET', data=None, params=None, headers=None): |
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"""Make a request to the Civitai API.""" |
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if headers is None: |
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headers = {} |
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headers['User-Agent'] = user_agent |
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api_key = shared.opts.data.get("civitai_api_key", None) |
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if api_key is not None: |
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headers['Authorization'] = f'Bearer {api_key}' |
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if data is not None: |
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headers['Content-Type'] = 'application/json' |
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data = json.dumps(data) |
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if not endpoint.startswith('/'): |
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endpoint = '/' + endpoint |
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if params is None: |
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params = {} |
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response = requests.request(method, base_url+endpoint, data=data, params=params, headers=headers) |
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if response.status_code != 200: |
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raise Exception(f'Error: {response.status_code} {response.text}') |
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return response.json() |
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def get_models(query, creator, tag, type, page=1, page_size=20, sort='Most Downloaded', period='AllTime'): |
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"""Get a list of models from the Civitai API.""" |
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response = req('/models', params={ |
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'query': query, |
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'username': creator, |
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'tag': tag, |
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'type': type, |
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'sort': sort, |
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'period': period, |
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'page': page, |
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'pageSize': page_size, |
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}) |
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return response |
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def get_all_by_hash(hashes: List[str]): |
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response = req(f"/model-versions/by-hash", method='POST', data=hashes) |
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return response |
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def get_model_version(id): |
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"""Get a model version from the Civitai API.""" |
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response = req('/model-versions/'+id) |
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return response |
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def get_model_version_by_hash(hash: str): |
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response = req(f"/model-versions/by-hash/{hash}") |
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return response |
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def get_creators(query, page=1, page_size=20): |
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"""Get a list of creators from the Civitai API.""" |
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response = req('/creators', params={ |
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'query': query, |
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'page': page, |
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'pageSize': page_size |
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}) |
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return response |
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def get_tags(query, page=1, page_size=20): |
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"""Get a list of tags from the Civitai API.""" |
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response = req('/tags', params={ |
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'query': query, |
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'page': page, |
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'pageSize': page_size |
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}) |
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return response |
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def get_lora_dir(): |
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lora_dir = shared.opts.data.get('civitai_folder_lora', shared.cmd_opts.lora_dir).strip() |
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if not lora_dir: lora_dir = shared.cmd_opts.lora_dir |
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return lora_dir |
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def get_locon_dir(): |
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try: |
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lyco_dir = shared.opts.data.get('civitai_folder_lyco', shared.cmd_opts.lyco_dir).strip() |
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if not lyco_dir: lyco_dir = shared.cmd_opts.lyco_dir |
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if not lyco_dir: lyco_dir = os.path.join(models_path, "LyCORIS"), |
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return lyco_dir |
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except: |
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return get_lora_dir() |
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def get_model_dir(): |
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model_dir = shared.opts.data.get('civitai_folder_model', shared.cmd_opts.ckpt_dir) |
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if not model_dir: model_dir = shared.cmd_opts.ckpt_dir |
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if not model_dir: model_dir = sd_models.model_path |
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return model_dir.strip() |
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def get_automatic_type(type: str): |
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if type == 'Hypernetwork': return 'hypernet' |
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return type.lower() |
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def get_automatic_name(type: str, filename: str, folder: str): |
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abspath = os.path.abspath(filename) |
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if abspath.startswith(folder): |
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fullname = abspath.replace(folder, '') |
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else: |
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fullname = os.path.basename(filename) |
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if fullname.startswith("\\") or fullname.startswith("/"): |
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fullname = fullname[1:] |
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if type == 'Checkpoint': return fullname |
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return os.path.splitext(fullname)[0] |
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def has_preview(filename: str): |
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return os.path.isfile(os.path.splitext(filename)[0] + '.preview.png') |
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def has_info(filename: str): |
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return os.path.isfile(os.path.splitext(filename)[0] + '.json') |
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def get_resources_in_folder(type, folder, exts=[], exts_exclude=[]): |
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resources = [] |
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os.makedirs(folder, exist_ok=True) |
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candidates = [] |
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for ext in exts: |
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candidates += glob.glob(os.path.join(folder, '**/*.' + ext), recursive=True) |
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for ext in exts_exclude: |
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candidates = [x for x in candidates if not x.endswith(ext)] |
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folder = os.path.abspath(folder) |
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automatic_type = get_automatic_type(type) |
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for filename in sorted(candidates): |
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if os.path.isdir(filename): |
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continue |
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name = os.path.splitext(os.path.basename(filename))[0] |
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automatic_name = get_automatic_name(type, filename, folder) |
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hash = hashes.sha256(filename, f"{automatic_type}/{automatic_name}") |
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resources.append({'type': type, 'name': name, 'hash': hash, 'path': filename, 'hasPreview': has_preview(filename), 'hasInfo': has_info(filename) }) |
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return resources |
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resources = [] |
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def load_resource_list(types=['LORA', 'LoCon', 'Hypernetwork', 'TextualInversion', 'Checkpoint', 'VAE', 'Controlnet']): |
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global resources |
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if len(resources) == 0 and len(types) == 0: |
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types = ['LORA', 'LoCon', 'Hypernetwork', 'TextualInversion', 'Checkpoint', 'VAE', 'Controlnet'] |
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if 'LORA' in types: |
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resources = [r for r in resources if r['type'] != 'LORA'] |
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resources += get_resources_in_folder('LORA', get_lora_dir(), ['pt', 'safetensors', 'ckpt']) |
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if 'LoCon' in types: |
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resources = [r for r in resources if r['type'] != 'LoCon'] |
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resources += get_resources_in_folder('LoCon', get_locon_dir(), ['pt', 'safetensors', 'ckpt']) |
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if 'Hypernetwork' in types: |
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resources = [r for r in resources if r['type'] != 'Hypernetwork'] |
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resources += get_resources_in_folder('Hypernetwork', shared.cmd_opts.hypernetwork_dir, ['pt', 'safetensors', 'ckpt']) |
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if 'TextualInversion' in types: |
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resources = [r for r in resources if r['type'] != 'TextualInversion'] |
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resources += get_resources_in_folder('TextualInversion', shared.cmd_opts.embeddings_dir, ['pt', 'bin', 'safetensors']) |
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if 'Checkpoint' in types: |
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resources = [r for r in resources if r['type'] != 'Checkpoint'] |
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resources += get_resources_in_folder('Checkpoint', get_model_dir(), ['safetensors', 'ckpt'], ['vae.safetensors', 'vae.ckpt']) |
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if 'Controlnet' in types: |
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resources = [r for r in resources if r['type'] != 'Controlnet'] |
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resources += get_resources_in_folder('Controlnet', os.path.join(models_path, "ControlNet"), ['safetensors', 'ckpt'], ['vae.safetensors', 'vae.ckpt']) |
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if 'VAE' in types: |
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resources = [r for r in resources if r['type'] != 'VAE'] |
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resources += get_resources_in_folder('VAE', get_model_dir(), ['vae.pt', 'vae.safetensors', 'vae.ckpt']) |
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resources += get_resources_in_folder('VAE', sd_vae.vae_path, ['pt', 'safetensors', 'ckpt']) |
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return resources |
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def get_resource_by_hash(hash: str): |
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resources = load_resource_list([]) |
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found = [resource for resource in resources if hash.lower() == resource['hash'] and ('downloading' not in resource or resource['downloading'] != True)] |
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if found: |
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return found[0] |
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return None |
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def get_model_by_hash(hash: str): |
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found = [info for info in sd_models.checkpoints_list.values() if hash == info.sha256 or hash == info.shorthash or hash == info.hash] |
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if found: |
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return found[0] |
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return None |
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def remove_resource(resource: ResourceRequest): |
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removed = None |
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target = get_resource_by_hash(resource['hash']) |
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if target is None or target['type'] != resource['type']: removed = False |
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elif os.path.exists(target['path']): |
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os.remove(target['path']) |
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removed = True |
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if removed == True: |
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log(f'Removed resource') |
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load_resource_list([resource['type']]) |
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if resource['type'] == 'Checkpoint': |
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sd_models.list_models() |
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elif resource['type'] == 'Hypernetwork': |
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shared.reload_hypernetworks() |
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elif removed == None: |
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log(f'Resource not found') |
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def load_if_missing(path, url, on_progress=None): |
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if os.path.exists(path): return True |
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if url is None: return False |
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download_file(url, path, on_progress) |
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return None |
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def load_resource(resource: ResourceRequest, on_progress=None): |
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resource['hash'] = resource['hash'].lower() |
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existing_resource = get_resource_by_hash(resource['hash']) |
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if existing_resource: |
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log(f'Already have resource: {resource["name"]}') |
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return |
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resources.append({'type': resource['type'], 'name': resource['name'], 'hash': resource['hash'], 'downloading': True }) |
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if resource['type'] == 'Checkpoint': load_model(resource, on_progress) |
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elif resource['type'] == 'CheckpointConfig': load_model_config(resource, on_progress) |
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elif resource['type'] == 'Controlnet': load_controlnet(resource, on_progress) |
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elif resource['type'] == 'Hypernetwork': load_hypernetwork(resource, on_progress) |
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elif resource['type'] == 'TextualInversion': load_textual_inversion(resource, on_progress) |
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elif resource['type'] == 'LORA': load_lora(resource, on_progress) |
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elif resource['type'] == 'LoCon': load_locon(resource, on_progress) |
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load_resource_list([resource['type']]) |
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def fetch_model_by_hash(hash: str): |
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model_version = get_model_version_by_hash(hash) |
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if model_version is None: |
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log(f'Could not find model version with hash {hash}') |
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return None |
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file = [x for x in model_version['files'] if x['primary'] == True][0] |
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resource = ResourceRequest( |
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name=file['name'], |
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type='Checkpoint', |
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hash=file['hashes']['SHA256'], |
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url=file['downloadUrl'] |
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) |
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load_resource(resource) |
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def load_model_config(resource: ResourceRequest, on_progress=None): |
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load_if_missing(os.path.join(get_model_dir(), resource['name']), resource['url'], on_progress) |
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def load_model(resource: ResourceRequest, on_progress=None): |
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model = get_model_by_hash(resource['hash']) |
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if model is not None: |
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log('Found model in model list') |
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if model is None and resource['url'] is not None: |
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log('Downloading model') |
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download_file(resource['url'], os.path.join(get_model_dir(), resource['name']), on_progress) |
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sd_models.list_models() |
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model = get_model_by_hash(resource['hash']) |
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return model |
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def load_controlnet(resource: ResourceRequest, on_progress=None): |
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isAvailable = load_if_missing(os.path.join(models_path, 'ControlNet', resource['name']), resource['url'], on_progress) |
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def load_textual_inversion(resource: ResourceRequest, on_progress=None): |
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load_if_missing(os.path.join(shared.cmd_opts.embeddings_dir, resource['name']), resource['url'], on_progress) |
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def load_lora(resource: ResourceRequest, on_progress=None): |
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isAvailable = load_if_missing(os.path.join(get_lora_dir(), resource['name']), resource['url'], on_progress) |
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def load_locon(resource: ResourceRequest, on_progress=None): |
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isAvailable = load_if_missing(os.path.join(get_locon_dir(), resource['name']), resource['url'], on_progress) |
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def load_vae(resource: ResourceRequest, on_progress=None): |
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if not resource['name'].endswith('.pt'): resource['name'] += '.pt' |
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full_path = os.path.join(models_path, 'VAE', resource['name']) |
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isAvailable = load_if_missing(full_path, resource['url'], on_progress) |
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if isAvailable is None: |
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sd_vae.refresh_vae_list() |
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def load_hypernetwork(resource: ResourceRequest, on_progress=None): |
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full_path = os.path.join(shared.cmd_opts.hypernetwork_dir, resource['name']); |
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if not full_path.endswith('.pt'): full_path += '.pt' |
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isAvailable = load_if_missing(full_path, resource['url'], on_progress) |
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if isAvailable is None: |
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shared.reload_hypernetworks() |
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def select_model(resource: ResourceRequest): |
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if shared.opts.data["sd_checkpoint_hash"] == resource['hash']: return |
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model = load_model(resource) |
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if shared.sd_model.sd_checkpoint_info.model_name == model.model_name: |
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return |
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if model is not None: |
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sd_models.load_model(model) |
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shared.opts.save(shared.config_filename) |
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else: log('Could not find model and no URL was provided') |
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def select_vae(resource: ResourceRequest): |
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if not resource['name'].endswith('.pt'): resource['name'] += '.pt' |
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full_path = os.path.join(models_path, 'VAE', resource['name']) |
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if sd_vae.loaded_vae_file is not None and sd_vae.get_filename(sd_vae.loaded_vae_file) == resource['name']: |
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log('VAE already loaded') |
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return |
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isAvailable = load_if_missing(full_path, resource['url']) |
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if not isAvailable: |
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log('Could not find VAE') |
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return |
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sd_vae.refresh_vae_list() |
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sd_vae.load_vae(shared.sd_model, full_path) |
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def clear_vae(): |
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log('Clearing VAE') |
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sd_vae.clear_loaded_vae() |
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def select_hypernetwork(resource: ResourceRequest): |
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if shared.opts.sd_hypernetwork == resource['name']: |
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log('Hypernetwork already loaded') |
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return |
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full_path = os.path.join(shared.cmd_opts.hypernetwork_dir, resource['name']); |
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if not full_path.endswith('.pt'): full_path += '.pt' |
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isAvailable = load_if_missing(full_path, resource['url']) |
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if not isAvailable: |
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log('Could not find hypernetwork') |
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return |
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shared.opts.sd_hypernetwork = resource['name'] |
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shared.opts.save(shared.config_filename) |
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shared.reload_hypernetworks() |
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def clear_hypernetwork(): |
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if (shared.opts.sd_hypernetwork == 'None'): return |
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log('Clearing hypernetwork') |
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shared.opts.sd_hypernetwork = 'None' |
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shared.opts.save(shared.config_filename) |
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shared.reload_hypernetworks() |
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def update_resource_preview(hash: str, preview_url: str): |
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resources = load_resource_list([]) |
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matches = [resource for resource in resources if hash.lower() == resource['hash']] |
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if len(matches) == 0: return |
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for resource in matches: |
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preview_path = os.path.splitext(resource['path'])[0] + '.preview.png' |
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download_file(preview_url, preview_path) |
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activities = [] |
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activity_history_length = 10 |
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ignore_activity_types = ['resources:list','activities:list','activities:clear', 'activities:cancel'] |
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def add_activity(activity: Command): |
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global activities |
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if activity['type'] in ignore_activity_types: return |
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existing_activity_index = [i for i, x in enumerate(activities) if x['id'] == activity['id']] |
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if len(existing_activity_index) > 0: activities[existing_activity_index[0]] = activity |
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else: activities.insert(0, activity) |
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if len(activities) > activity_history_length: |
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activities.pop() |
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