| import gradio as gr | |
| import threading | |
| import numpy as np # Import NumPy for memory-efficient data structures | |
| import gc # Import garbage collector for explicit memory management | |
| # Increase thread stack size | |
| threading.stack_size(2**33) | |
| # Load the model | |
| model = gr.load("models/enhanceaiteam/Flux-uncensored") | |
| # Preload large datasets or pre-trained weights (if applicable) | |
| # ... | |
| # Launch the model in a thread | |
| thread = threading.Thread(target=model.launch) | |
| # Start the thread | |
| thread.start() | |
| # Explicitly trigger garbage collection to free up memory | |
| gc.collect() | |
| # Continue with other tasks or image generation code | |
| # ... |