hordelib 0.15.3

A thin wrapper around ComfyUI to allow use by AI Horde.

hordelib

hordelib is a thin wrapper around ComfyUI primarily to enable the AI Horde to run inference pipelines designed visually in the ComfyUI GUI.

The developers of hordelib can be found in the AI Horde Discord server: https://discord.gg/3DxrhksKzn

NOTE: This project is in development and is not yet in use by Stable Horde.

Purpose

The goal here is to be able to design inference pipelines in the excellent ComfyUI, and then call those inference pipelines programmatically. Whilst providing features that maintain compatibility with the existing horde implementation.

Installation

If being installed from pypi, use a requirements file of the form:

--extra-index-url https://download.pytorch.org/whl/cu118
hordelib

...your other dependencies...

Usage

Horde payloads can be processed simply with (for example):

import os
import hordelib
hordelib.initialise()

from hordelib.horde import HordeLib
from hordelib.shared_model_manager import SharedModelManager

# Wherever your models are
os.environ["AIWORKER_CACHE_HOME"] = "f:/ai/models"

generate = HordeLib()
SharedModelManager.loadModelManagers(compvis=True)
SharedModelManager.manager.load("Deliberate")

data = {
    "sampler_name": "k_dpmpp_2m",
    "cfg_scale": 7.5,
    "denoising_strength": 1.0,
    "seed": 123456789,
    "height": 512,
    "width": 512,
    "karras": True,
    "tiling": False,
    "hires_fix": False,
    "clip_skip": 1,
    "control_type": None,
    "image_is_control": False,
    "return_control_map": False,
    "prompt": "an ancient llamia monster",
    "ddim_steps": 25,
    "n_iter": 1,
    "model": "Deliberate",
}
pil_image = generate.basic_inference(data)
pil_image.save("test.png")

Note that hordelib.initialise() will erase all command line arguments from argv. So make sure you parse them before you call that.

See tests/run_*.py for more standalone examples.

Logging

If you don't want hordelib to setup and control the logging configuration initialise with:

import hordelib
hordelib.initialise(setup_logging=False)

Acknowledgments

hordelib depends on a large number of open source projects, and most of these dependencies are automatically downloaded and installed when you install hordelib. Due to the nature and purpose of hordelib some dependencies are bundled directly inside hordelib itself.

ComfyUI

A powerful and modular stable diffusion GUI with a graph/nodes interface. Licensed under the terms of the GNU General Public License v3.0.

The entire purpose of hordelib is to access the power of ComfyUI.

Controlnet Preprocessors for ComfyUI

Custom nodes for ComfyUI providing Controlnet preprocessing capability. Licened under the terms of the Apache License 2.0.

ComfyUI Face Restore Node

Custom nodes for ComfyUI providing face restoration.

Development

Requirements:

• git (install git)
• tox (pip install tox)
• Set the environmental variable AIWORKER_CACHE_HOME to point to a model directory.

Note the model directory must currently be in the original AI Horde directory structure:

<AIWORKER_CACHE_HOME>\
   nataili\
        clip\
        codeformer\
        compvis\
            Deliberate.ckpt
            ...etc...
        controlnet\
        embeds\
        esrgan\
        gfpgan\
        safety_checker\

Running the Tests

Simply execute: tox (or tox -q for less noisy output)

This will take a while the first time as it installs all the dependencies.

If the tests run successfully images will be produced in the images/ folder.

Running a specific test file

tox -- -k <filename> for example tox -- -k test_initialisation

Running a specific predefined test suite

tox list

This will list all groups of tests which are involved in either the development, build or CI proccess. Tests which have the word 'fix' in them will automatically apply changes when run, such as to linting or formatting. You can do this by running:

tox -e [test_suite_name_here]

Directory Structure

hordelib/pipeline_designs/ Contains ComfyUI pipelines in a format that can be opened by the ComfyUI web app. These saved directly from the web app.

hordelib/pipelines/ Contains the above pipeline JSON files converted to the format required by the backend pipeline processor. These are converted from the web app, see Converting ComfyUI pipelines below.

hordelib/nodes/ These are the custom ComfyUI nodes we use for hordelib specific processing.

Running ComfyUI Web Application

In this example we install the dependencies in the OS default environment. When using the git version of hordelib, from the project root:

pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu118 --upgrade

Ensure ComfyUI is installed and patched, one way is running the tests:

tox

From then on to run ComfyUI:

cd ComfyUI python main.py

Then open a browser at: http://127.0.0.1:8188/

Designing ComfyUI Pipelines

Use the standard ComfyUI web app. Use the "title" attribute to name the nodes, these names become parameter names in the hordelib. For example, a KSampler with the "title" of "sampler2" would become a parameter sampler2.seed, sampler2.cfg, etc. Load the pipeline hordelib/pipeline_designs/pipeline_stable_diffusion.json in the ComfyUI web app for an example.

Save any new pipeline in hordelib/pipeline_designs using the naming convention "pipeline_<name>.json".

Convert the JSON for the model (see Converting ComfyUI pipelines below) and save the resulting JSON in hordelib/pipelines using the same filename as the previous JSON file.

That is all. This can then be called from hordelib using the run_image_pipeline() method in hordelib.comfy.Comfy()

Converting ComfyUI pipelines

In addition to the design file saved from the UI, we need to save the pipeline file in the backend format. This file is created in the hordelib project root named comfy-prompt.json automatically if you run a pipeline through the ComfyUI version embedded in hordelib. Running ComfyUI with tox -e comfyui automatically patches ComfyUI so this JSON file is saved.

Build Configuration

The main config files for the project are: pyproject.toml, tox.ini and requirements.txt

PyPi Publishing

Pypi publishing is automatic all from the GitHub website.

1. Create a PR from main to releases
2. Label the PR with "release:patch" (0.0.1) or "release:minor" (0.1.0)
3. Merge the PR with a standard merge commit (not squash)

Standalone "clean" environment test from Pypi

Here's an example:

Start in a new empty directory. Create requirements.txt:

--extra-index-url https://download.pytorch.org/whl/cu118
hordelib

Create the directory images/ and copy the test_db0.jpg into it.

Copy run_controlnet.py from the hordelib/tests/ directory.

Build a venv:

python -m venv venv
.\venv\Scripts\activate
pip install -r requirements.txt

Run the test we copied:

python run_controlnet.py

The `images/` directory should have our test images.

Updating the embedded version of ComfyUI

We use a ComfyUI version pinned to a specific commit, see hordelib/consts.py:COMFYUI_VERSION

To test if the latest version works and upgrade to it, from the project root simply:

1. cd ComfyUI Change CWD to the embedded comfy
2. git checkout master Switch to master branch
3. git pull Get the latest comfyui code
4. git rev-parse HEAD Update the hash in hordelib.consts:COMFYUI_VERSION
5. cd .. Get back to the hordelib project root
6. tox See if everything still works

Now ComfyUI is pinned to a new version.

ComfyUI Patching

We patch the ComfyUI source code to:

1. Modify the model manager to allow us to dynamically move models between VRAM, RAM and disk cache.
2. Allow make ComfyUI output some handy JSON we need for development purposes.

To create a patch file:

• Make the required changes to a clean install of ComfyUI and then run git diff > yourfile.patch then move the patch file to wherever you want to save it.

Note that the patch file really needs to be in UTF-8 format and some common terminals, e.g. Powershell, won't do this by default. In Powershell to create a patch file use: git diff | Set-Content -Encoding utf8 -Path yourfile.patch

Patches can be applied with the hordelib.install_comfyui.Installer classes apply_patch() method.