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Informations about the package stable-diffusion-ui-samplers-generator

Easy Diffusion UI: Samplers Generator

andrey helldar SD: samplers generator

Installation

First you need to download and run Easy Diffusion.

Next, make sure you have Composer, PHP 8.1 or higher and Git installed on your computer.

Next, you may create a new Samplers Generator project via the Composer create-project command:

Or you can download this repository:

Next, go to the project folder and install the dependencies:

Configuration

The project has few static settings - these are the number of steps for generating images and sizes.

Configuration files are located in the config folder.

Usage

First you need to run the neural network python script See more: https://github.com/cmdr2/stable-diffusion-ui/wiki/How-to-Use

Sampler generation for all available models

To do this, you need to call the bin/sampler models console command, passing it the required parameter --prompt.

For example:

If you want to generate a sampler table for a previously generated image, then you need to also pass the --seed parameter with this value when invoking the console command.

For example:

Available options

Sampler generation for one model

To do this, you need to call the bin/sampler model console command, passing it the required parameters --prompt and --model.

For example:

If you want to generate a sampler table for a previously generated image, then you need to also pass the --seed parameter with this value when invoking the console command.

For example:

Available options

Sampler generation for all models based on configuration files

You can also copy configurations from the Stable Diffusion UI web interface to the clipboard, after which, using any file editor, you can save these configurations to any folder on your computer.

After you save as many configuration files as you need in a folder, you can call the bin/samplers settings --path command, passing it the path to that folder:

When the command is run, the script will find all json files in the root of the specified folder (without recursive search), check them for correct filling (incorrect files will be skipped, there will be no errors), and start generating samplers for all models available to the neural network for each of the files.

The sampler table will be generated by the Seed ID taken from the configuration file.

For example, output info:

The target folder will contain the collected sampler files (jpeg or png), as well as a set of configurations for them.

For example:

Available options

Example

Source

Sampler

Config

The last used configuration for the model is saved to the file

FAQ

Q: Why is it not written in python?

A: I was interested in writing a pet project in one evening and I don't know python 😁

Q: What models do you use?

A: For various purposes, I use the following models:

License

This package is licensed under the MIT License.

All versions of stable-diffusion-ui-samplers-generator with dependencies

PHP Build Version
Package Version
Requires php Version ^8.1
ext-imagick Version *
ext-json Version *
archtechx/enums Version ^0.3.1
dragon-code/simple-dto Version ^2.7
dragon-code/support Version ^6.8
guzzlehttp/guzzle Version ^7.5
illuminate/console Version ^9.45
intervention/image Version ^2.7
nesbot/carbon Version ^2.64
symfony/console Version ^6.2
symfony/dom-crawler Version ^6.2
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