modules_forge/main_thread.py

"""
This file is the main thread that handles all gradio calls for major t2i or i2i processing.
Other gradio calls (like those from extensions) are not influenced.
By using one single thread to process all major calls, model moving is significantly faster.
"""

import threading
import time
import traceback
from modules.shared import cmd_opts

lock = threading.Lock()
last_id = 0
waiting_list = []
finished_list = []
fps = 1.0 / max(1, cmd_opts.fps)


class Task:
    def __init__(self, task_id, func, args, kwargs):
        self.task_id = task_id
        self.func = func
        self.args = args
        self.kwargs = kwargs
        self.result = None

    def work(self):
        self.result = self.func(*self.args, **self.kwargs)


def loop():
    global lock, last_id, waiting_list, finished_list
    while True:
        time.sleep(fps)
        if len(waiting_list) > 0:
            with lock:
                task = waiting_list.pop(0)
            try:
                task.work()
            except Exception as e:
                traceback.print_exc()
                print(e)
            with lock:
                finished_list.append(task)


def async_run(func, *args, **kwargs):
    global lock, last_id, waiting_list, finished_list
    with lock:
        last_id += 1
        new_task = Task(task_id=last_id, func=func, args=args, kwargs=kwargs)
        waiting_list.append(new_task)
    return new_task.task_id


def run_and_wait_result(func, *args, **kwargs):
    global lock, last_id, waiting_list, finished_list
    current_id = async_run(func, *args, **kwargs)
    while True:
        time.sleep(fps)
        finished_task = None
        for t in finished_list.copy():  # thread safe shallow copy without needing a lock
            if t.task_id == current_id:
                finished_task = t
                break
        if finished_task is not None:
            with lock:
                finished_list.remove(finished_task)
            return finished_task.result