Instructions to use vorstcavry/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vorstcavry/test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vorstcavry/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| ## //Vorst Cavry// ## | |
| import os | |
| import re | |
| import time | |
| import json | |
| import requests | |
| from datetime import timedelta | |
| # ================= DETECT ENV ================= | |
| def detect_environment(): | |
| free_plan = (os.sysconf('SC_PAGE_SIZE') * os.sysconf('SC_PHYS_PAGES') / (1024. ** 3) <= 20) | |
| environments = { | |
| 'COLAB_GPU': ('Google Colab', "/root" if free_plan else "/content"), | |
| 'KAGGLE_URL_BASE': ('Kaggle', "/kaggle/working/content") | |
| } | |
| for env_var, (environment, path) in environments.items(): | |
| if env_var in os.environ: | |
| return environment, path, free_plan | |
| env, root_path, free_plan = detect_environment() | |
| webui_path = f"{root_path}/sdw" | |
| # ---------------------------------------------- | |
| def load_settings(): | |
| SETTINGS_FILE = f'{root_path}/settings.json' | |
| if os.path.exists(SETTINGS_FILE): | |
| with open(SETTINGS_FILE, 'r') as f: | |
| settings = json.load(f) | |
| return settings | |
| settings = load_settings() | |
| ngrok_token = settings['ngrok_token'] | |
| zrok_token = settings['zrok_token'] | |
| commandline_arguments = settings['commandline_arguments'] | |
| # ======================== TUNNEL ======================== | |
| import cloudpickle as pickle | |
| def get_public_ip(version='ipv4'): | |
| try: | |
| url = f'https://api64.ipify.org?format=json&{version}=true' | |
| response = requests.get(url) | |
| data = response.json() | |
| public_ip = data['ip'] | |
| return public_ip | |
| except Exception as e: | |
| print(f"Error getting public {version} address:", e) | |
| public_ipv4 = get_public_ip(version='ipv4') | |
| tunnel_class = pickle.load(open(f"{root_path}/new_tunnel", "rb"), encoding="utf-8") | |
| tunnel_port= 1769 | |
| tunnel = tunnel_class(tunnel_port) | |
| tunnel.add_tunnel(command="cl tunnel --url localhost:{port}", name="cl", pattern=re.compile(r"[\w-]+\.trycloudflare\.com")) | |
| tunnel.add_tunnel(command="lt --port {port}", name="lt", pattern=re.compile(r"[\w-]+\.loca\.lt"), note="Password : " + "\033[32m" + public_ipv4 + "\033[0m" + " rerun cell if 404 error.") | |
| ''' add zrok tunnel ''' | |
| if zrok_token: | |
| get_ipython().system('zrok enable {zrok_token} &> /dev/null') | |
| tunnel.add_tunnel(command="zrok share public http://localhost:{port}/ --headless", name="zrok", pattern=re.compile(r"[\w-]+\.share\.zrok\.io")) | |
| # ======================== TUNNEL ======================== | |
| # automatic fixing path V2 | |
| get_ipython().system('sed -i \'s#"tagger_hf_cache_dir": ".*models/interrogators"#"tagger_hf_cache_dir": "{root_path}/sdw/models/interrogators"#\' {webui_path}/config.json') | |
| get_ipython().system('sed -i \'s#"additional_networks_extra_lora_path": ".*models/Lora/"#"additional_networks_extra_lora_path": "{root_path}/sdw/models/Lora/"#\' {webui_path}/config.json') | |
| # --- | |
| get_ipython().system('sed -i \'s/"sd_checkpoint_hash": ".*"/"sd_checkpoint_hash": ""/g; s/"sd_model_checkpoint": ".*"/"sd_model_checkpoint": ""/g; s/"sd_vae": ".*"/"sd_vae": "None"/g\' {webui_path}/config.json') | |
| with tunnel: | |
| get_ipython().run_line_magic('cd', '{webui_path}') | |
| commandline_arguments += f" --port=1769" | |
| if ngrok_token: | |
| commandline_arguments += ' --ngrok ' + ngrok_token | |
| if env != "Google Colab": | |
| commandline_arguments += f" --encrypt-pass=1769" | |
| get_ipython().system('COMMANDLINE_ARGS="{commandline_arguments}" python launch.py') | |
| start_colab = float(open(f'{webui_path}/static/colabTimer.txt', 'r').read()) | |
| time_since_start = str(timedelta(seconds=time.time()-start_colab)).split('.')[0] | |
| print(f"\n⌚️ \033[0mKamu telah melakukan sesi ini untuk - \033[33m{time_since_start}\033[0m\n\n") | |