catboxanon

/hdg/ catbox.moe userscript

This userscript adds functionality to upload to Catbox directly from 4chan, and to view metadata for Stable Diffusion, TavernAI, and NovelAI, in PNGs, JPEGs, WebPs, and AVIFs.

For text-only posts, this also attaches the first Catbox link found, if any, to the post as a normal image.

Prerequisites

You will need both a userscript extension and 4chanX.

https://violentmonkey.github.io

NOTICE

I no longer plan to maintain this userscript, since as of 2025-03-01, NovelAI has added a native shortcut for attention emphasis. It only took them 1 year and 3 months!

The shortcut is triggered by highlighting anything in the prompt, and pressing [ to de-emphasize, or Shift + [ to emphasize.

Auto-saving images has also been a native feature for quite a while now, accessible by clicking on the goose icon in the top left.

Of the other two features exclusive to this script, generating forever and wildcards, the former still works, while the latter is broken.

	import argparse
	from pathlib import Path
	from glob import glob
	from contextlib import redirect_stdout
	from io import StringIO
	from tqdm import tqdm
	import modules.hashes

	parser = argparse.ArgumentParser()
	parser.add_argument('-p', '--path', type=str, required=True)

	import os
	import torch

	import gradio as gr

	from modules import script_callbacks, scripts, shared


	class CLIPBlend:
	def __init__(self):

	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)

	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")

	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

	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)

	// ==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==