catboxanon

NAI Tags+

This userscript injects artists and tags that do not conform to "AI alignment" standards into NovelAI's suggested imagegen tags.

Prerequisites

You will need a userscript extension. Below is a suggestion.

• https://violentmonkey.github.io

Installation

catboxanon

// ==UserScript==
// @name        4chan pixeldrain URL parser
// @namespace   4chanpixeldrainparse
// @match       https://boards.4chan.org/*/thread/*
// @grant       none
// @version     1.0.3
// @author      Anonymous
// @description Parse pixeldrain URLs on 4chan
// @updateURL   https://gist.github.com/raw/6fedeaacb169bc89bc5186bd00741b4a/4chan-pixeldrain.user.js
// @downloadURL https://gist.github.com/raw/6fedeaacb169bc89bc5186bd00741b4a/4chan-pixeldrain.user.js

catboxanon

NAI prompt userscript

This userscript modifies NovelAI's imagegen prompt editor to add A1111-style keyboard shortcuts for attention emphasis. Let's see how long it takes for them to steal this. :^)

As a bonus, this userscript will be maintained to add additional (optional) features. These can be accessed via the keyboard shortcut CTRL+Alt+X.

NOTICE

As of 2025-01-11, NovelAI has broken this script due to replacing the prompt area's textarea input with a contenteditable div for... some reason. This script will eventually be updated, assuming they do not revert back.

catboxanon

// ==UserScript==
// @name        DALL-3 Save
// @namespace   bingdall3save
// @match       https://www.bing.com/images/create*
// @version     1.0.2
// @author      Anonymous
// @updateURL   https://gist.github.com/raw/fa297d9a104b7dc63f92b444cbe51b39/dall-3-save.user.js
// @downloadURL https://gist.github.com/raw/fa297d9a104b7dc63f92b444cbe51b39/dall-3-save.user.js
// @require     https://cdn.jsdelivr.net/npm/file-saver
// ==/UserScript==

catboxanon

import torch

from modules import script_callbacks, shared

def on_model_loaded(sd_model):
    if hasattr(shared.opts, 'clip_tensor_fix_enabled') and shared.opts.data.get('clip_tensor_fix_enabled', False): # type: ignore
        try:
            t1 = None
            t2 = torch.arange(0, 77, dtype=torch.int64).unsqueeze(0)

catboxanon

import gradio as gr
import numpy as np
import torch
from PIL import Image
from scipy.ndimage import gaussian_filter
from skimage.transform import resize

import modules.scripts as scripts
from modules import devices, script_callbacks, shared
from modules.processing import StableDiffusionProcessingTxt2Img

catboxanon

import argparse
from glob import glob
from pathlib import Path

import numpy as np
from tqdm import tqdm


def read_metadata_from_safetensors(filename):
    import json

catboxanon

from pathlib import Path
from tqdm import tqdm
import argparse

def read_metadata_from_safetensors(filename):
	import json

	with open(filename, mode="rb") as file:
		metadata_len = file.read(8)
		metadata_len = int.from_bytes(metadata_len, "little")

catboxanon

import os
from typing import Callable, List, Union

import gradio as gr

from modules import scripts
from modules.processing import StableDiffusionProcessing, StableDiffusionProcessingTxt2Img
from modules.script_callbacks import (CFGDenoisedParams, CFGDenoiserParams,
									  on_cfg_denoised, on_cfg_denoiser)

catboxanon

import os
import torch

import gradio as gr

from modules import script_callbacks, scripts, shared


class CLIPBlend:
    def __init__(self):