add data-dir flag and set all user data directories based on it

from modules import paths, shared

extensions = []

extensions_dir = os.path.join(paths.script_path, "extensions")

extensions_dir = os.path.join(paths.data_path, "extensions")

extensions_builtin_dir = os.path.join(paths.script_path, "extensions-builtin")

from pathlib import Path

import gradio as gr

from modules.shared import script_path

from modules.paths import data_path, script_path

from modules import shared, ui_tempdir, script_callbacks

import tempfile

from PIL import Image

def connect_paste(button, paste_fields, input_comp, jsfunc=None):

    def paste_func(prompt):

        if not prompt and not shared.cmd_opts.hide_ui_dir_config:

            filename = os.path.join(script_path, "params.txt")

            filename = os.path.join(data_path, "params.txt")

            if os.path.exists(filename):

                with open(filename, "r", encoding="utf8") as file:

                    prompt = file.read()

import gfpgan

import modules.face_restoration

from modules import shared, devices, modelloader

from modules.paths import models_path

from modules import paths, shared, devices, modelloader

model_dir = "GFPGAN"

user_path = None

model_path = os.path.join(models_path, model_dir)

model_path = os.path.join(paths.models_path, model_dir)

model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"

have_gfpgan = False

loaded_gfpgan_model = None

import filelock

from modules.paths import data_path

cache_filename = "cache.json"

cache_filename = os.path.join(data_path, "cache.json")

cache_data = None

from torchvision.transforms.functional import InterpolationMode

import modules.shared as shared

from modules import devices, paths, lowvram, modelloader, errors

from modules import devices, paths, shared, lowvram, modelloader, errors

blip_image_eval_size = 384

clip_model_name = 'ViT-L/14'