diff --git a/official-templates/better-ai-launcher/LICENSE b/official-templates/better-ai-launcher/LICENSE deleted file mode 100644 index c8f43f2..0000000 --- a/official-templates/better-ai-launcher/LICENSE +++ /dev/null @@ -1,705 +0,0 @@ -GNU GENERAL PUBLIC LICENSE -Version 3, 29 June 2007 - -Copyright (C) 2007 Free Software Foundation, Inc. -Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. - -Preamble --------- -The GNU General Public License is a free, copyleft license for software and other kinds of works. The aim of the GNU General Public License is to ensure the freedom to share and modify the software, while ensuring that it remains free for all users. - -### Additional Terms for Better AI Launcher - -This project contains components licensed under the GNU General Public License version 3, with additional terms applying to the following directory: `official-templates/better-ai-launcher`. - -**Additional Terms:** -1. **Attribution Requirement**: The following footer must be retained in all distributions of the Better AI Launcher, both original and modified: - - ``` - © 2024 RunPod Better App Manager. Created by Madiator2011. - ``` - -2. **Modification Documentation**: Any modifications made to the files within the `better-ai-launcher` folder must be documented clearly. This documentation should be added either as comments in the relevant files or as an accompanying document outlining the changes. - -3. **Commercial Use Restrictions**: This template may not be used for unauthorized commercial purposes without express permission from the copyright holder. - -4. **Notice Preservation**: You must retain all copyright notices and licensing conditions in every copy or substantial portion of the Better AI Launcher, ensuring that any redistributed version maintains the original attributions. - -The GPL-3.0 License continues to apply to the rest of this project. 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If not, see . - -Also add information on how to contact you by electronic and paper mail. - - If the program does terminal interaction, make it output a short -notice like this when it starts in an interactive mode: - - Copyright (C) - This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. - This is free software, and you are welcome to redistribute it - under certain conditions; type `show c' for details. - -The hypothetical commands `show w' and `show c' should show the appropriate -parts of the General Public License. Of course, your program's commands -might be different; for a GUI interface, you would use an "about box". - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU GPL, see -. - - The GNU General Public License does not permit incorporating your program -into proprietary programs. If your program is a subroutine library, you -may consider it more useful to permit linking proprietary applications with -the library. If this is what you want to do, use the GNU Lesser General -Public License instead of this License. But first, please read -. diff --git a/official-templates/better-ai-launcher/app.py b/official-templates/better-ai-launcher/app.py index f49ea1b..49c9679 100644 --- a/official-templates/better-ai-launcher/app.py +++ b/official-templates/better-ai-launcher/app.py @@ -17,10 +17,11 @@ from utils.filebrowser_utils import configure_filebrowser, start_filebrowser, st from utils.app_utils import ( run_app, update_process_status, check_app_directories, get_app_status, force_kill_process_by_name, update_webui_user_sh, save_install_status, - get_install_status, download_and_unpack_venv, fix_custom_nodes, is_process_running, + get_install_status, download_and_unpack_venv, fix_custom_nodes, is_process_running, install_app, update_model_symlinks ) from utils.websocket_utils import send_websocket_message, active_websockets -from utils.app_configs import get_app_configs, add_app_config, remove_app_config +from utils.app_configs import get_app_configs, add_app_config, remove_app_config, app_configs +from utils.model_utils import download_model, check_civitai_url, check_huggingface_url, SHARED_MODELS_DIR, format_size app = Flask(__name__) sock = Sock(app) @@ -35,6 +36,8 @@ S3_BASE_URL = "https://better.s3.madiator.com/" SETTINGS_FILE = '/workspace/.app_settings.json' +CIVITAI_TOKEN_FILE = '/workspace/.civitai_token' + def load_settings(): if os.path.exists(SETTINGS_FILE): with open(SETTINGS_FILE, 'r') as f: @@ -182,17 +185,29 @@ def websocket(ws): active_websockets.remove(ws) def send_heartbeat(): + initial_interval = 5 # 5 seconds + max_interval = 60 # 60 seconds + current_interval = initial_interval + start_time = time.time() + while True: - time.sleep(60) # Send heartbeat every 60 seconds (1 minute) + time.sleep(current_interval) send_websocket_message('heartbeat', {}) + + # Gradually increase the interval + elapsed_time = time.time() - start_time + if elapsed_time < 60: # First minute + current_interval = min(current_interval * 1.5, max_interval) + else: + current_interval = max_interval # Start heartbeat thread threading.Thread(target=send_heartbeat, daemon=True).start() @app.route('/install/', methods=['POST']) -def install_app(app_name): +def install_app_route(app_name): try: - success, message = download_and_unpack_venv(app_name) + success, message = install_app(app_name, app_configs, send_websocket_message) if success: return jsonify({'status': 'success', 'message': message}) else: @@ -418,7 +433,7 @@ def recreate_symlinks_route(): def create_shared_folders(): try: shared_models_dir = '/workspace/shared_models' - model_types = ['Stable-diffusion', 'VAE', 'Lora', 'ESRGAN'] + model_types = ['Stable-diffusion', 'Lora', 'embeddings', 'VAE', 'hypernetworks', 'aesthetic_embeddings', 'controlnet', 'ESRGAN'] # Create shared models directory if it doesn't exist os.makedirs(shared_models_dir, exist_ok=True) @@ -434,9 +449,13 @@ def create_shared_folders(): if not os.path.exists(readme_path): with open(readme_path, 'w') as f: f.write("Upload your models to the appropriate folders:\n\n") - f.write("- Stable-diffusion: for Stable Diffusion models\n") - f.write("- VAE: for VAE models\n") + f.write("- Stable-diffusion: for Stable Diffusion checkpoints\n") f.write("- Lora: for LoRA models\n") + f.write("- embeddings: for Textual Inversion embeddings\n") + f.write("- VAE: for VAE models\n") + f.write("- hypernetworks: for Hypernetwork models\n") + f.write("- aesthetic_embeddings: for Aesthetic Gradient embeddings\n") + f.write("- controlnet: for ControlNet models\n") f.write("- ESRGAN: for ESRGAN upscaling models\n\n") f.write("These models will be automatically linked to all supported apps.") @@ -444,6 +463,89 @@ def create_shared_folders(): except Exception as e: return jsonify({'status': 'error', 'message': str(e)}) +def save_civitai_token(token): + with open(CIVITAI_TOKEN_FILE, 'w') as f: + json.dump({'token': token}, f) + +def load_civitai_token(): + if os.path.exists(CIVITAI_TOKEN_FILE): + with open(CIVITAI_TOKEN_FILE, 'r') as f: + data = json.load(f) + return data.get('token') + return None + +@app.route('/save_civitai_token', methods=['POST']) +def save_civitai_token_route(): + token = request.json.get('token') + if token: + save_civitai_token(token) + return jsonify({'status': 'success', 'message': 'Civitai token saved successfully.'}) + return jsonify({'status': 'error', 'message': 'No token provided.'}), 400 + +@app.route('/get_civitai_token', methods=['GET']) +def get_civitai_token_route(): + token = load_civitai_token() + return jsonify({'token': token}) + +@app.route('/download_model', methods=['POST']) +def download_model_route(): + url = request.json.get('url') + model_name = request.json.get('model_name') + model_type = request.json.get('model_type') + civitai_token = request.json.get('civitai_token') or load_civitai_token() + hf_token = request.json.get('hf_token') + version_id = request.json.get('version_id') + file_index = request.json.get('file_index') + + is_civitai, _, _, _ = check_civitai_url(url) + is_huggingface, _, _, _, _ = check_huggingface_url(url) + + if not (is_civitai or is_huggingface): + return jsonify({'status': 'error', 'message': 'Unsupported URL. Please use Civitai or Hugging Face URLs.'}), 400 + + if is_civitai and not civitai_token: + return jsonify({'status': 'error', 'message': 'Civitai token is required for downloading from Civitai.'}), 400 + + try: + success, message = download_model(url, model_name, model_type, send_websocket_message, civitai_token, hf_token, version_id, file_index) + if success: + if isinstance(message, dict) and 'choice_required' in message: + return jsonify({'status': 'choice_required', 'data': message['choice_required']}) + return jsonify({'status': 'success', 'message': message}) + else: + return jsonify({'status': 'error', 'message': message}), 400 + except Exception as e: + error_message = f"Model download error: {str(e)}\n{traceback.format_exc()}" + app.logger.error(error_message) + return jsonify({'status': 'error', 'message': error_message}), 500 + +@app.route('/get_model_folders') +def get_model_folders(): + folders = {} + for folder in ['Stable-diffusion', 'VAE', 'Lora', 'ESRGAN']: + folder_path = os.path.join(SHARED_MODELS_DIR, folder) + if os.path.exists(folder_path): + total_size = 0 + file_count = 0 + for dirpath, dirnames, filenames in os.walk(folder_path): + for f in filenames: + fp = os.path.join(dirpath, f) + total_size += os.path.getsize(fp) + file_count += 1 + folders[folder] = { + 'size': format_size(total_size), + 'file_count': file_count + } + return jsonify(folders) + +@app.route('/update_symlinks', methods=['POST']) +def update_symlinks_route(): + try: + update_model_symlinks() + return jsonify({'status': 'success', 'message': 'Symlinks updated successfully'}) + except Exception as e: + return jsonify({'status': 'error', 'message': str(e)}), 500 + if __name__ == '__main__': shared_models_path = setup_shared_models() print(f"Shared models directory: {shared_models_path}") diff --git a/official-templates/better-ai-launcher/docker-bake.hcl b/official-templates/better-ai-launcher/docker-bake.hcl index 65724ee..5dfbfd9 100644 --- a/official-templates/better-ai-launcher/docker-bake.hcl +++ b/official-templates/better-ai-launcher/docker-bake.hcl @@ -12,5 +12,5 @@ target "better-ai-launcher" { proxy = "../../container-template/proxy" logo = "../../container-template" } - tags = ["madiator2011/better-launcher:latest"] + tags = ["madiator2011/better-launcher:dev"] } \ No newline at end of file diff --git a/official-templates/better-ai-launcher/requirements.txt b/official-templates/better-ai-launcher/requirements.txt index 86badea..3f99995 100644 --- a/official-templates/better-ai-launcher/requirements.txt +++ b/official-templates/better-ai-launcher/requirements.txt @@ -9,4 +9,5 @@ gitpython tqdm cryptography pexpect -zstandard \ No newline at end of file +zstandard +huggingface_hub[cli] \ No newline at end of file diff --git a/official-templates/better-ai-launcher/templates/index.html b/official-templates/better-ai-launcher/templates/index.html index 14b7375..cacb3af 100644 --- a/official-templates/better-ai-launcher/templates/index.html +++ b/official-templates/better-ai-launcher/templates/index.html @@ -160,7 +160,7 @@ display: flex; justify-content: space-between; align-items: center; - box-shadow: 0 2px 4px rgba(0,0,0,0.1); + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); } .navbar-brand { @@ -274,7 +274,7 @@ display: flex; flex-direction: column; position: relative; - height: calc(100% - 60px); /* Adjust this value based on your layout */ + height: calc(100% - 50px); /* Adjust this value based on your layout */ } #logs { flex: 1; @@ -497,6 +497,70 @@ margin-bottom: 5px; } + .modal { + display: none; + position: fixed; + z-index: 1000; + left: 0; + top: 0; + width: 100%; + height: 100%; + overflow: auto; + background-color: rgba(0,0,0,0.4); + } + + .modal-content { + background-color: #2a2a2a; + margin: 15% auto; + padding: 20px; + border: 1px solid #888; + width: 80%; + max-width: 600px; + border-radius: 5px; + } + + .modal h3 { + color: #4CAF50; + margin-top: 0; + } + + .modal ul { + list-style-type: none; + padding: 0; + } + + .modal li { + margin-bottom: 10px; + } + + .modal button { + background-color: #4CAF50; + color: white; + padding: 10px 15px; + border: none; + border-radius: 5px; + cursor: pointer; + transition: background-color 0.3s; + } + + .modal button:hover { + background-color: #45a049; + } + + .close { + color: #aaa; + float: right; + font-size: 28px; + font-weight: bold; + } + + .close:hover, + .close:focus { + color: #fff; + text-decoration: none; + cursor: pointer; + } + .app { background-color: #2a2a2a; border-radius: 10px; @@ -566,7 +630,6 @@ 50% { transform: translateY(-20px) rotate(10deg); } } - /* Add or update these styles in the @@ -831,122 +1080,118 @@
Apps + Models Settings
-
-
- {% for app_key, app_info in apps.items() %} -
-

{{ app_info.name }}

- {% if app_status[app_key]['dirs_ok'] %} -
- - - - - - {% if app_status[app_key]['dirs_ok'] and app_status[app_key]['is_bcomfy'] %} - - {% endif %} -
- - {{ app_status[app_key]['status'] | capitalize }} - - {% else %} -

{{ app_status[app_key]['message'] }}

- {% if not app_status[app_key]['installed'] %} -
- -
-
-
Download Progress:
-
-
0%
-
-
-
-
Unpack Progress:
-
-
0%
-
-
-
- - -
-
-
+ + + + {% if app_status[app_key]['dirs_ok'] and app_status[app_key]['is_bcomfy'] %} + + {% endif %}
-
+ + {{ app_status[app_key]['status'] | capitalize }} + + {% else %} +

{{ app_status[app_key]['message'] }}

+ {% if not app_status[app_key]['installed'] %} +
+ +
+
+
Download Progress:
+
+
0%
+
+
+
+
Unpack Progress:
+
+
0%
+
+
+
+ + +
+
+
+
+
+ {% endif %} {% endif %} - {% endif %} +
+ {% endfor %}
- {% endfor %}
-
-
-

Logs

-
-
- +
+

Logs

+
+
+ +
@@ -978,220 +1297,674 @@ - + \ No newline at end of file diff --git a/official-templates/better-ai-launcher/utils/app_utils.py b/official-templates/better-ai-launcher/utils/app_utils.py index ff340c6..e54290b 100644 --- a/official-templates/better-ai-launcher/utils/app_utils.py +++ b/official-templates/better-ai-launcher/utils/app_utils.py @@ -10,6 +10,7 @@ import traceback from tqdm import tqdm import xml.etree.ElementTree as ET import time +import shutil INSTALL_STATUS_FILE = '/tmp/install_status.json' @@ -251,7 +252,7 @@ def download_and_unpack_venv(app_name, app_configs, send_websocket_message): # Clean up the downloaded file send_websocket_message('install_log', {'app_name': app_name, 'log': 'Cleaning up...'}) os.remove(downloaded_file) - send_websocket_message('install_log', {'app_name': app_name, 'log': 'Installation complete.'}) + send_websocket_message('install_log', {'app_name': app_name, 'log': 'Installation complete. Refresh page to start app'}) save_install_status(app_name, 'completed', 100, 'Completed') send_websocket_message('install_complete', {'app_name': app_name, 'status': 'success', 'message': "Virtual environment installed successfully."}) @@ -290,4 +291,51 @@ def fix_custom_nodes(app_name, app_configs): else: return False, f"Error fixing custom nodes. Output: {output.decode('utf-8')}" except Exception as e: - return False, f"Error fixing custom nodes: {str(e)}" \ No newline at end of file + return False, f"Error fixing custom nodes: {str(e)}" + +# Replace the existing install_app function with this updated version +def install_app(app_name, app_configs, send_websocket_message): + if app_name in app_configs: + return download_and_unpack_venv(app_name, app_configs, send_websocket_message) + else: + return False, f"Unknown app: {app_name}" + +def update_model_symlinks(): + shared_models_dir = '/workspace/shared_models' + apps = { + 'stable-diffusion-webui': '/workspace/stable-diffusion-webui/models', + 'stable-diffusion-webui-forge': '/workspace/stable-diffusion-webui-forge/models', + 'ComfyUI': '/workspace/ComfyUI/models' + } + model_types = ['Stable-diffusion', 'VAE', 'Lora', 'ESRGAN'] + + for model_type in model_types: + shared_model_path = os.path.join(shared_models_dir, model_type) + + if not os.path.exists(shared_model_path): + continue + + for app, app_models_dir in apps.items(): + if app == 'ComfyUI': + if model_type == 'Stable-diffusion': + app_model_path = os.path.join(app_models_dir, 'checkpoints') + elif model_type == 'Lora': + app_model_path = os.path.join(app_models_dir, 'loras') + elif model_type == 'ESRGAN': + app_model_path = os.path.join(app_models_dir, 'upscale_models') + else: + app_model_path = os.path.join(app_models_dir, model_type.lower()) + else: + app_model_path = os.path.join(app_models_dir, model_type) + + # Create the app model directory if it doesn't exist + os.makedirs(app_model_path, exist_ok=True) + + # Create symlinks for each file in the shared model directory + for filename in os.listdir(shared_model_path): + src = os.path.join(shared_model_path, filename) + dst = os.path.join(app_model_path, filename) + if os.path.isfile(src) and not os.path.exists(dst): + os.symlink(src, dst) + + print("Model symlinks updated.") diff --git a/official-templates/better-ai-launcher/utils/filebrowser_utils.py b/official-templates/better-ai-launcher/utils/filebrowser_utils.py index d15a846..f5a94e4 100644 --- a/official-templates/better-ai-launcher/utils/filebrowser_utils.py +++ b/official-templates/better-ai-launcher/utils/filebrowser_utils.py @@ -7,7 +7,7 @@ filebrowser_process = None def configure_filebrowser(): try: subprocess.run('filebrowser config init', shell=True, check=True) - subprocess.run('filebrowser config set --auth.method=json', shell=True, check=True) + subprocess.run('filebrowser config set --auth.method=noauth', shell=True, check=True) subprocess.run('filebrowser config set --baseurl /fileapp', shell=True, check=True) subprocess.run('filebrowser config set --root /workspace', shell=True, check=True) subprocess.run('filebrowser users add admin admin', shell=True, check=True) diff --git a/official-templates/better-ai-launcher/utils/model_utils.py b/official-templates/better-ai-launcher/utils/model_utils.py new file mode 100644 index 0000000..1c0d3e5 --- /dev/null +++ b/official-templates/better-ai-launcher/utils/model_utils.py @@ -0,0 +1,255 @@ +import os +import requests +from urllib.parse import unquote, urlparse +from tqdm import tqdm +import json +import re +import time +import math + +SHARED_MODELS_DIR = '/workspace/shared_models' + +MODEL_TYPE_MAPPING = { + 'Checkpoint': 'Stable-diffusion', + 'LORA': 'Lora', + 'LoCon': 'Lora', + 'TextualInversion': 'embeddings', + 'VAE': 'VAE', + 'Hypernetwork': 'hypernetworks', + 'AestheticGradient': 'aesthetic_embeddings', + 'ControlNet': 'controlnet', + 'Upscaler': 'ESRGAN' +} + +def ensure_shared_folder_exists(): + for folder in ['Stable-diffusion', 'Lora', 'embeddings', 'VAE', 'hypernetworks', 'aesthetic_embeddings', 'controlnet', 'ESRGAN']: + os.makedirs(os.path.join(SHARED_MODELS_DIR, folder), exist_ok=True) + +def check_civitai_url(url): + prefix = "civitai.com" + try: + if prefix in url: + if "civitai.com/api/download" in url: + version_id = url.strip("/").split("/")[-1] + return False, True, None, int(version_id) + + subpath = url[url.find(prefix) + len(prefix):].strip("/") + url_parts = subpath.split("?") + if len(url_parts) > 1: + model_id = url_parts[0].split("/")[1] + version_id = url_parts[1].split("=")[1] + return True, False, int(model_id), int(version_id) + else: + model_id = subpath.split("/")[1] + return True, False, int(model_id), None + except (ValueError, IndexError): + print("Error parsing Civitai model URL") + return False, False, None, None + +def check_huggingface_url(url): + parsed_url = urlparse(url) + if parsed_url.netloc not in ["huggingface.co", "huggingface.com"]: + return False, None, None, None, None + + path_parts = [p for p in parsed_url.path.split("/") if p] + if len(path_parts) < 5 or (path_parts[2] != "resolve" and path_parts[2] != "blob"): + return False, None, None, None, None + + repo_id = f"{path_parts[0]}/{path_parts[1]}" + branch_name = path_parts[3] + remaining_path = "/".join(path_parts[4:]) + folder_name = os.path.dirname(remaining_path) if "/" in remaining_path else None + filename = unquote(os.path.basename(remaining_path)) + + return True, repo_id, filename, folder_name, branch_name + +def download_model(url, model_name, model_type, send_websocket_message, civitai_token=None, hf_token=None, version_id=None, file_index=None): + ensure_shared_folder_exists() + is_civitai, is_civitai_api, model_id, _ = check_civitai_url(url) + is_huggingface, repo_id, hf_filename, hf_folder_name, hf_branch_name = check_huggingface_url(url) + + if is_civitai or is_civitai_api: + if not civitai_token: + return False, "Civitai token is required for downloading from Civitai" + success, message = download_civitai_model(url, model_name, model_type, send_websocket_message, civitai_token, version_id, file_index) + elif is_huggingface: + success, message = download_huggingface_model(url, model_name, model_type, send_websocket_message, repo_id, hf_filename, hf_folder_name, hf_branch_name, hf_token) + else: + return False, "Unsupported URL" + + if success: + send_websocket_message('model_download_progress', { + 'percentage': 100, + 'stage': 'Complete', + 'message': 'Download complete and symlinks updated' + }) + + return success, message + +def download_civitai_model(url, model_name, model_type, send_websocket_message, civitai_token, version_id=None, file_index=None): + try: + is_civitai, is_civitai_api, model_id, url_version_id = check_civitai_url(url) + + headers = {'Authorization': f'Bearer {civitai_token}'} + + if is_civitai_api: + api_url = f"https://civitai.com/api/v1/model-versions/{url_version_id}" + else: + api_url = f"https://civitai.com/api/v1/models/{model_id}" + + response = requests.get(api_url, headers=headers) + response.raise_for_status() + model_data = response.json() + + if is_civitai_api: + version_data = model_data + model_data = version_data['model'] + else: + if version_id: + version_data = next((v for v in model_data['modelVersions'] if v['id'] == version_id), None) + elif url_version_id: + version_data = next((v for v in model_data['modelVersions'] if v['id'] == url_version_id), None) + else: + version_data = model_data['modelVersions'][0] + + if not version_data: + return False, f"Version ID {version_id or url_version_id} not found for this model." + + civitai_model_type = model_data['type'] + model_type = MODEL_TYPE_MAPPING.get(civitai_model_type, 'Stable-diffusion') + + files = version_data['files'] + if file_index is not None and 0 <= file_index < len(files): + file_to_download = files[file_index] + elif len(files) > 1: + # If there are multiple files and no specific file was chosen, ask the user to choose + file_options = [{'name': f['name'], 'size': f['sizeKB'], 'type': f['type']} for f in files] + return True, { + 'choice_required': { + 'type': 'file', + 'model_id': model_id, + 'version_id': version_data['id'], + 'files': file_options + } + } + else: + file_to_download = files[0] + + download_url = file_to_download['downloadUrl'] + if not model_name: + model_name = file_to_download['name'] + + model_path = os.path.join(SHARED_MODELS_DIR, model_type, model_name) + os.makedirs(os.path.dirname(model_path), exist_ok=True) + + return download_file(download_url, model_path, send_websocket_message, headers) + + except requests.RequestException as e: + return False, f"Error downloading from Civitai: {str(e)}" + +def download_huggingface_model(url, model_name, model_type, send_websocket_message, repo_id, hf_filename, hf_folder_name, hf_branch_name, hf_token=None): + try: + from huggingface_hub import hf_hub_download + + if not model_name: + model_name = hf_filename + + model_path = os.path.join(SHARED_MODELS_DIR, model_type, model_name) + os.makedirs(os.path.dirname(model_path), exist_ok=True) + + send_websocket_message('model_download_progress', { + 'percentage': 0, + 'stage': 'Downloading', + 'message': f'Starting download from Hugging Face: {repo_id}' + }) + + kwargs = { + 'repo_id': repo_id, + 'filename': hf_filename, + 'subfolder': hf_folder_name, + 'revision': hf_branch_name, + 'local_dir': os.path.dirname(model_path), + 'local_dir_use_symlinks': False + } + if hf_token: + kwargs['token'] = hf_token + + local_file = hf_hub_download(**kwargs) + + send_websocket_message('model_download_progress', { + 'percentage': 100, + 'stage': 'Complete', + 'message': f'Download complete: {model_name}' + }) + + return True, f"Successfully downloaded {model_name} from Hugging Face" + + except Exception as e: + return False, f"Error downloading from Hugging Face: {str(e)}" + +def download_file(url, filepath, send_websocket_message, headers=None): + try: + response = requests.get(url, stream=True, headers=headers) + response.raise_for_status() + total_size = int(response.headers.get('content-length', 0)) + block_size = 8192 + downloaded_size = 0 + start_time = time.time() + + with open(filepath, 'wb') as file: + for data in response.iter_content(block_size): + size = file.write(data) + downloaded_size += size + current_time = time.time() + elapsed_time = current_time - start_time + + if elapsed_time > 0: + speed = downloaded_size / elapsed_time + percentage = (downloaded_size / total_size) * 100 if total_size > 0 else 0 + eta = (total_size - downloaded_size) / speed if speed > 0 else 0 + + send_websocket_message('model_download_progress', { + 'percentage': round(percentage, 2), + 'speed': f"{speed / (1024 * 1024):.2f} MB/s", + 'eta': int(eta), + 'stage': 'Downloading', + 'message': f'Downloaded {format_size(downloaded_size)} / {format_size(total_size)}' + }) + + send_websocket_message('model_download_progress', { + 'percentage': 100, + 'stage': 'Complete', + 'message': f'Download complete: {os.path.basename(filepath)}' + }) + + return True, f"Successfully downloaded {os.path.basename(filepath)}" + + except requests.RequestException as e: + return False, f"Error downloading file: {str(e)}" + +def get_civitai_file_size(url, token): + headers = {'Authorization': f'Bearer {token}'} + try: + response = requests.head(url, headers=headers, allow_redirects=True) + return int(response.headers.get('content-length', 0)) + except: + return None + +def get_huggingface_file_size(repo_id, filename, folder_name, branch_name, token): + from huggingface_hub import hf_hub_url, HfApi + try: + api = HfApi() + file_info = api.hf_hub_url(repo_id, filename, subfolder=folder_name, revision=branch_name) + response = requests.head(file_info, headers={'Authorization': f'Bearer {token}'} if token else None) + return int(response.headers.get('content-length', 0)) + except: + return None + +def format_size(size_in_bytes): + if size_in_bytes == 0: + return "0 B" + size_name = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB") + i = int(math.floor(math.log(size_in_bytes, 1024))) + p = math.pow(1024, i) + s = round(size_in_bytes / p, 2) + return f"{s} {size_name[i]}"