-
Notifications
You must be signed in to change notification settings - Fork 45
Custom Scripts
To install custom scripts, place them into the scripts directory and click the Reload custom script button at the bottom in the settings tab. Custom scripts will appear in the lower-left dropdown menu on the txt2img and img2img tabs after being installed. Below are some notable custom scripts created by Web UI users:
This script is advanced-prompt-matrix modified to support batch count. Grids are not created.
Usage:
Use < > to create a group of alternate texts. Separate text options with |. Multiple groups and multiple options can be used. For example:
An input of a <corgi|cat> wearing <goggles|a hat>
Will output 4 prompts: a corgi wearing goggles, a corgi wearing a hat, a cat wearing goggles, a cat wearing a hat
When using a batch count > 1, each prompt variation will be generated for each seed. batch size is ignored.
This, and the more feature-rich dynamic prompts script have been turned into extensions.
https://github.com/ThereforeGames/unprompted
a highly modular addon for AUTOMATIC1111's Stable Diffusion Web UI that allows you to include various shortcodes in your prompts. You can pull text from files, set up your own variables, process text through conditional functions, and so much more - it's like wildcards on steroids.
While the intended usecase is Stable Diffusion, this engine is also flexible enough to serve as an all-purpose text generator.
https://github.com/ThereforeGames/txt2img2img/blob/main/scripts/txt2img2img.py
Greatly improve the editability of any character/subject while retaining their likeness.
Full description in original repo: https://github.com/ThereforeGames/txt2img2img (be careful with cloning as it has a bit of venv checked in)
https://github.com/ThereforeGames/txt2mask
Allows you to specify an inpainting mask with text, as opposed to the brush.
Provides a local popup window powered by CV2 that allows addition of a mask before processing. Readme.
https://github.com/memes-forever/Stable-diffusion-webui-video Using img2img, generates pictures one after another.
https://github.com/yownas/seed_travel
Pick two (or more) seeds and generate a sequence of images interpolating between them. Optionally, let it create a video of the result.
Example of what you can do with it: https://www.youtube.com/watch?v=4c71iUclY4U
This script allows you to base the initial noise on multiple weighted seeds.
Ex. seed1:2, seed2:1, seed3:1
The weights are normalized so you can use bigger once like above, or you can do floating point numbers:
Ex. seed1:0.5, seed2:0.25, seed3:0.25
This script allows you to combine multiple weighted prompts together by mathematically combining their textual embeddings before generating the image.
Ex.
Crystal containing elemental {fire|ice}
It supports nested definitions so you can do this as well:
Crystal containing elemental {{fire:5|ice}|earth}
https://github.com/Animator-Anon/Animator/blob/main/animation.py
Animation Script - https://github.com/Animator-Anon/Animator
A basic img2img script that will dump frames and build a video file. Suitable for creating interesting zoom in warping movies, but not too much else at this time.
https://github.com/rewbs/sd-parseq
Generate videos with tight control and flexible interpolation over many Stable Diffusion parameters (such as seed, scale, prompt weights, denoising strength...), as well as input processing parameter (such as zoom, pan, 3D rotation...)
https://gist.github.com/dfaker/f88aa62e3a14b559fe4e5f6b345db664
Uses alternate generators for the sampler's sigma schedule.
Allows access to Karras, Exponential and Variance Preserving schedules from crowsonkb/k-diffusion along with their parameters.
https://github.com/Filarius/stable-diffusion-webui/blob/master/scripts/vid2vid.py
From real video, img2img the frames and stitch them together. Does not unpack frames to hard drive.
https://github.com/GeorgLegato/Txt2Vectorgraphics
Create custom, scaleable icons from your prompts as SVG or PDF.
https://github.com/yownas/shift-attention
Generate a sequence of images shifting attention in the prompt.
This script enables you to give a range to the weight of tokens in a prompt and then generate a sequence of images stepping from the first one to the second.
https://github.com/DiceOwl/StableDiffusionStuff
https://github.com/DiceOwl/StableDiffusionStuff/blob/main/loopback_superimpose.py
Mixes output of img2img with original input image at strength alpha. The result is fed into img2img again (at loop>=2), and this procedure repeats. Tends to sharpen the image, improve consistency, reduce creativity and reduce fine detail.
https://github.com/DiceOwl/StableDiffusionStuff
https://github.com/DiceOwl/StableDiffusionStuff/blob/main/interpolate.py
An img2img script to produce in-between images. Allows two input images for interpolation. More features shown in the readme.
https://gist.github.com/camenduru/9ec5f8141db9902e375967e93250860f
Run n times with random seed.
https://github.com/Extraltodeus/advanced-loopback-for-sd-webui
Dynamic zoom loopback with parameters variations and prompt switching amongst other features!
https://github.com/feffy380/prompt-morph
Generate morph sequences with Stable Diffusion. Interpolate between two or more prompts and create an image at each step.
Uses the new AND keyword and can optionally export the sequence as a video.
https://github.com/EugeoSynthesisThirtyTwo/prompt-interpolation-script-for-sd-webui
With this script, you can interpolate between two prompts (using the "AND" keyword), generate as many images as you want. You can also generate a gif with the result. Works for both txt2img and img2img.
https://github.com/tjm35/asymmetric-tiling-sd-webui/
Control horizontal/vertical seamless tiling independently of each other.
https://gist.github.com/1ort/2fe6214cf1abe4c07087aac8d91d0d8a
see https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2441
applies symmetry to the image every n steps and sends the result further to img2img.
https://github.com/1ort/txt2palette
Generate palettes by text description. This script takes the generated images and converts them into color palettes.
https://github.com/some9000/StylePile
An easy way to mix and match elements to prompts that affect the style of the result.
https://github.com/xrpgame/xyz_plot_script
Generates an .html file to interactively browse the imageset. Use the scroll wheel or arrow keys to move in the Z dimension.
https://github.com/DominikDoom/a1111-sd-webui-tagcomplete
Displays autocompletion hints for tags from "image booru" boards such as Danbooru. Uses local tag CSV files and includes a config for customization.
Also supports completion for wildcards
https://github.com/dfaker/embedding-to-png-script
Converts existing embeddings to the shareable image versions.
https://github.com/TKoestlerx/sdexperiments
Outpaint a region. Infinite outpainting concept, used the two existing outpainting scripts from the AUTOMATIC1111 repo as a basis.
https://github.com/lilly1987/AI-WEBUI-scripts-Random
- Random Steps and CFG
- Random Grid
- Random Loop
https://github.com/grexzen/SD-Chad
https://github.com/arcanite24/img2tiles
generate tiles from a base image. Based on SD upscale script.
https://github.com/dfaker/SD-latent-mirroring
Applies mirroring and flips to the latent images to produce anything from subtle balanced compositions to perfect reflections
https://github.com/thygate/stable-diffusion-webui-depthmap-script
This script is an addon for AUTOMATIC1111's Stable Diffusion Web UI that creates depthmaps from the generated images. The result can be viewed on 3D or holographic devices like VR headsets or lookingglass display, used in Render- or Game- Engines on a plane with a displacement modifier, and maybe even 3D printed.
This script will save steps of the sampling process to a directory.
import os.path
import modules.scripts as scripts
import gradio as gr
from modules import sd_samplers, shared
from modules.processing import Processed, process_images
class Script(scripts.Script):
def title(self):
return "Save steps of the sampling process to files"
def ui(self, is_img2img):
path = gr.Textbox(label="Save images to path")
return [path]
def run(self, p, path):
index = [0]
def store_latent(x):
image = shared.state.current_image = sd_samplers.sample_to_image(x)
image.save(os.path.join(path, f"sample-{index[0]:05}.png"))
index[0] += 1
fun(x)
fun = sd_samplers.store_latent
sd_samplers.store_latent = store_latent
try:
proc = process_images(p)
finally:
sd_samplers.store_latent = fun
return Processed(p, proc.images, p.seed, "")This is the Stable Diffusion web UI wiki. Wiki Home