Changed job_id to timestamp

    "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.",

    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [job_id]; leave empty for default.",

    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [job_id]; leave empty for default.",

    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [job_timestamp]; leave empty for default.",

    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [job_timestamp]; leave empty for default.",

    "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",

    "Length of job id": "Sets the number of characters to be used for the [job_id] option",    

    "Loopback": "Process an image, use it as an input, repeat.",

    "Loops": "How many times to repeat processing an image and using it as input for the next iteration",

    "Style 1": "Style to apply; styles have components for both positive and negative prompts and apply to both",

    "Style 2": "Style to apply; styles have components for both positive and negative prompts and apply to both",

    "Apply style": "Insert selected styles into prompt fields",

    x = x.replace("[model_hash]", shared.sd_model.sd_model_hash)

    x = x.replace("[date]", datetime.date.today().isoformat())

    x = x.replace("[job_id]", shared.state.job_id)

    x = x.replace("[job_timestamp]", shared.state.job_timestamp)

    if cmd_opts.hide_ui_dir_config:

        x = re.sub(r'^[\\/]+|\.{2,}[\\/]+|[\\/]+\.{2,}', '', x)

import os

import gradio as gr

import tqdm

import random

import datetime

import modules.artists

from modules.paths import script_path, sd_path

    job = ""

    job_no = 0

    job_count = 0

    job_id = 0

    job_timestamp = 0

    sampling_step = 0

    sampling_steps = 0

    current_latent = None

        self.job_no += 1

        self.sampling_step = 0

        self.current_image_sampling_step = 0

    def gen_job_id(self):

        return ''.join(random.choices('0123456789abcdefghijklmnopqrstuvwxyz', k=opts.job_id_length))

    def get_job_timestamp(self):

        return datetime.datetime.now().strftime("%Y%m%d%H%M%S")

state = State()

    "grid_save_to_dirs": OptionInfo(False, "Save grids to subdirectory"),

    "directories_filename_pattern": OptionInfo("", "Directory name pattern"),

    "directories_max_prompt_words": OptionInfo(8, "Max prompt words", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),

    "job_id_length": OptionInfo(5, "Length of job id", gr.Slider, {"minimum": 5, "maximum": 20, "step": 1}),

}))

options_templates.update(options_section(('upscaling', "Upscaling"), {

        shared.state.sampling_step = 0

        shared.state.job_count = -1

        shared.state.job_no = 0

        shared.state.job_id = shared.state.gen_job_id()

        shared.state.job_timestamp = shared.state.get_job_timestamp()

        shared.state.current_latent = None

        shared.state.current_image = None

        shared.state.current_image_sampling_step = 0