hordelib 0.1.0

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 in ComfyUI. hordelib and ComfyUI are licensed under the terms of the GNU General Public License.

The developers of this project can be found in the AI Horde Discord server: https://discord.gg/3DxrhksKznb

Purpose

The goal here is to be able to design inference pipelines in the excellent ComfyUI, and then call those inference pipelines programmatically, in a manner ultimately suitable for use in stable horde.

Installation

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

--extra-index-url https://download.pytorch.org/whl/cu117
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": "canny",
    "image_is_control": False,
    "return_control_map": False,
    "prompt": "an ancient llamia monster",
    "ddim_steps": 25,
    "n_iter": 1,
    "model": "Deliberate",
}
pil_image = generate.text_to_image(data)
pil_image.save("test.png")

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 project with the name of each pipeline, for example, pipeline_stable_diffusion.png and likely some other .png files too.

Running a specific test file

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

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

tox -e comfyui

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

Three steps:

1. Bump the version in hordelib/cosnts.py
2. tox make sure everything works
3. python publish.py builds the dist files
4. twine upload -r pypi dist/*

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 hordelib/Comfy 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 Print the commit hash we'll need this
5. cd ../../ Get back to the hordelib project root
6. tox See if everything still works

If everything still works. Take the commit hash printed above and put it in hordelib/consts.py:COMFYUI_VERSION

Now ComfyUI is pinned to a new version.