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| import subprocess | |
| import os | |
| import platform | |
| import sys | |
| def run_command(command, cwd=None, shell=False): | |
| """Helper function to run a shell command.""" | |
| try: | |
| result = subprocess.run(command, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd, text=True, shell=shell) | |
| print(result.stdout) | |
| except subprocess.CalledProcessError as e: | |
| print(f"Error occurred while running command: {command}") | |
| print(e.stderr) | |
| sys.exit(1) | |
| # Step 1: Define the repository URL and clone path | |
| repo_url = 'https://github.com/ostris/ai-toolkit.git' | |
| clone_path = './ai-toolkit' | |
| # Check if the 'ai-toolkit' directory already exists | |
| if not os.path.exists(clone_path): | |
| # Clone the repository if it doesn't exist | |
| run_command(['git', 'clone', repo_url, clone_path]) | |
| # Step 2: Change directory to the cloned repository | |
| repo_dir = os.path.join(os.getcwd(), 'ai-toolkit') | |
| # Step 3: Update submodules | |
| run_command(['git', 'submodule', 'update', '--init', '--recursive'], cwd=repo_dir) | |
| # Step 4: Install torch and torchvision | |
| run_command([sys.executable, '-m', 'pip', 'install', 'torch', 'torchvision', '--index-url', 'https://download.pytorch.org/whl/cu121'], cwd=repo_dir) | |
| # Step 5: Install dependencies from requirements.txt | |
| run_command([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'], cwd=repo_dir) | |
| # Step 6: Install mediapipe (to handle the missing dependency) | |
| run_command([sys.executable, '-m', 'pip', 'install', 'mediapipe'], cwd=repo_dir) | |
| # Step 7: Modify the flux_train_ui.py to handle Gradio share and CUDA availability issues | |
| flux_train_ui_path = os.path.join(repo_dir, 'flux_train_ui.py') | |
| # Ensure Gradio does not try to set share=True | |
| with open(flux_train_ui_path, 'r') as file: | |
| lines = file.readlines() | |
| with open(flux_train_ui_path, 'w') as file: | |
| for line in lines: | |
| # Modify Gradio 'share=True' to 'share=False' | |
| if 'launch(share=True)' in line: | |
| line = line.replace('share=True', 'share=False') | |
| file.write(line) | |
| # Modify flux_train_ui.py to handle CUDA availability for torch | |
| with open(flux_train_ui_path, 'a') as file: | |
| file.write('\nimport torch\n') | |
| file.write('if not torch.cuda.is_available():\n') | |
| file.write(' print("CUDA is not available, running on CPU.")\n') | |
| file.write(' # Adjust logic to run on CPU if necessary\n') | |
| from huggingface_hub import login | |
| login(token=os.getenv("TOKEN")) | |
| # Step 8: Run the flux_train_ui.py file | |
| run_command([sys.executable, 'flux_train_ui.py'], cwd=repo_dir) | |
| print("Setup completed successfully.") | |
| else: | |
| repo_dir = os.path.join(os.getcwd(), 'ai-toolkit') | |
| flux_train_ui_path = os.path.join(repo_dir, 'flux_train_ui.py') | |
| # Ensure Gradio does not try to set share=True | |
| with open(flux_train_ui_path, 'r') as file: | |
| lines = file.readlines() | |
| with open(flux_train_ui_path, 'w') as file: | |
| for line in lines: | |
| # Modify Gradio 'share=True' to 'share=False' | |
| if 'launch(share=True)' in line: | |
| line = line.replace('share=True', 'share=False') | |
| file.write(line) | |
| # Modify flux_train_ui.py to handle CUDA availability for torch | |
| with open(flux_train_ui_path, 'a') as file: | |
| file.write('\nimport torch\n') | |
| file.write('if not torch.cuda.is_available():\n') | |
| file.write(' print("CUDA is not available, running on CPU.")\n') | |
| file.write(' # Adjust logic to run on CPU if necessary\n') | |
| from huggingface_hub import login | |
| login(token=os.getenv("TOKEN")) | |
| run_command([sys.executable, 'flux_train_ui.py'], cwd=repo_dir) | |
| print("The 'ai-toolkit' directory already exists. No need to clone.") | |