MAIN REPO

This repo is for development, there may be bugs and new features

⚠️ temporary notice: e71d82e fixed optimized support and also requires the changes in the main repo. e71d82e is synced to main repo too so just pull from main repo ⚠️

⚠️ temporary notice: #229 overhauled the UI code #229 is synced to main repo too so just pull from main repo ⚠️

Questions about Upscalers?

Questions about Optimized mode?

Feature request? Use discussions

Stable Diffusion web UI

A browser interface based on Gradio library for Stable Diffusion.

Original script with Gradio UI was written by a kind anonymopus user. This is a modification.

GFPGAN

If you want to use GFPGAN to improve generated faces, you need to install it separately. Download GFPGANv1.3.pth and put it into the /stable-diffusion/src/gfpgan/experiments/pretrained_models directory.

RealESRGAN

Download RealESRGAN_x4plus.pth and RealESRGAN_x4plus_anime_6B.pth. Put them into the stable-diffusion/src/realesrgan/experiments/pretrained_models directory.

Web UI

When launching, you may get a very long warning message related to some weights not being used. You may freely ignore it. After a while, you will get a message like this:

Running on local URL:  http://127.0.0.1:7860/

Open the URL in browser, and you are good to go.

Features

The script creates a web UI for Stable Diffusion's txt2img and img2img scripts. Following are features added that are not in original script.

GFPGAN

Lets you improve faces in pictures using the GFPGAN model. There is a checkbox in every tab to use GFPGAN at 100%, and also a separate tab that just allows you to use GFPGAN on any picture, with a slider that controls how strongthe effect is.

RealESRGAN

Lets you double the resolution of generated images. There is a checkbox in every tab to use RealESRGAN, and you can choose between the regular upscaler and the anime version. There is also a separate tab for using RealESRGAN on any picture.

Sampling method selection

txt2img samplers: "DDIM", "PLMS", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms' img2img samplers: "DDIM", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'

Prompt matrix

Separate multiple prompts using the | character, and the system will produce an image for every combination of them. For example, if you use a busy city street in a modern city|illustration|cinematic lighting prompt, there are four combinations possible (first part of prompt is always kept):

a busy city street in a modern city
a busy city street in a modern city, illustration
a busy city street in a modern city, cinematic lighting
a busy city street in a modern city, illustration, cinematic lighting

Four images will be produced, in this order, all with same seed and each with corresponding prompt:

Another example, this time with 5 prompts and 16 variations:

Prompt combinations

If you add '@' symbol at start your prompt and change text like this: @(moba|rpg|rts) character (2d|3d) model it will be produce 3 * 2 combinations or prompt with same seed:

moba character 2d model
rpg character 2d model
rts character 2d model
moba character 3d model
rpg character 3d model
rts character 3d model

If you use this feature, batch count will be ignored, because the number of pictures to produce depends on your prompts, but batch size will still work (generating multiple pictures at the same time for a small speed boost).

Flagging (Broken after UI changed to gradio.Blocks() see Flag button missing from new UI)

Click the Flag button under the output section, and generated images will be saved to log/images directory, and generation parameters will be appended to a csv file log/log.csv in the /sd directory.

but every image is saved, why would I need this?

If you're like me, you experiment a lot with prompts and settings, and only few images are worth saving. You can just save them using right click in browser, but then you won't be able to reproduce them later because you will not know what exact prompt created the image. If you use the flag button, generation paramerters will be written to csv file, and you can easily find parameters for an image by searching for its filename.

Copy-paste generation parameters

A text output provides generation parameters in an easy to copy-paste form for easy sharing.

If you generate multiple pictures, the displayed seed will be the seed of the first one.

Correct seeds for batches

If you use a seed of 1000 to generate two batches of two images each, four generated images will have seeds: 1000, 1001, 1002, 1003. Previous versions of the UI would produce 1000, x, 1001, x, where x is an iamge that can't be generated by any seed.

Resizing

There are three options for resizing input images in img2img mode:

Just resize - simply resizes source image to target resolution, resulting in incorrect aspect ratio
Crop and resize - resize source image preserving aspect ratio so that entirety of target resolution is occupied by it, and crop parts that stick out
Resize and fill - resize source image preserving aspect ratio so that it entirely fits target resolution, and fill empty space by rows/columns from source image

Example:

Loading

Gradio's loading graphic has a very negative effect on the processing speed of the neural network. My RTX 3090 makes images about 10% faster when the tab with gradio is not active. By default, the UI now hides loading progress animation and replaces it with static "Loading..." text, which achieves the same effect. Use the --no-progressbar-hiding commandline option to revert this and show loading animations.

Prompt validation

Stable Diffusion has a limit for input text length. If your prompt is too long, you will get a warning in the text output field, showing which parts of your text were truncated and ignored by the model.

Loopback

A checkbox for img2img allowing to automatically feed output image as input for the next batch. Equivalent to saving output image, and replacing input image with it. Batch count setting controls how many iterations of this you get.

Usually, when doing this, you would choose one of many images for the next iteration yourself, so the usefulness of this feature may be questionable, but I've managed to get some very nice outputs with it that I wasn't abble to get otherwise.

Example: (cherrypicked result; original picture by anon)

search620/stable-diffusion-webui

MAIN REPO

This repo is for development, there may be bugs and new features

⚠️ temporary notice: e71d82e fixed optimized support and also requires the changes in the main repo. e71d82e is synced to main repo too so just pull from main repo ⚠️

⚠️ temporary notice: #229 overhauled the UI code #229 is synced to main repo too so just pull from main repo ⚠️

Questions about Upscalers?

Questions about Optimized mode?

Feature request? Use discussions

More documentation about features, troubleshooting, common issues very soon

Want to help with documentation? Documented something? Use Discussions

Stable Diffusion web UI

GFPGAN

RealESRGAN

Web UI

Features

GFPGAN

RealESRGAN

Sampling method selection

Prompt matrix

Prompt combinations

Flagging (Broken after UI changed to gradio.Blocks() see Flag button missing from new UI)

Copy-paste generation parameters

Correct seeds for batches

Resizing

Loading

Prompt validation

Loopback