AP Trainer 1.0
for ComfyUI
Jumpstart
- How to Use AP Trainer
- What’s New in AP Trainer 1.0
- What’s New in AP Trainer 1.0 EA1
- Early Access Program
- Work with Alessandro
- Where to Start?
Installation
Special Thanks
Jumpstart
How to Use AP Trainer
AP Trainer is currently available in the following versions:
To Download AP Trainer 1.0
Not released yet.
What’s new in AP Trainer 1.0
Not released yet.
To Download AP Trainer 1.0 EA1
- Join the AP Workflows Early Access program.
- Join the Discord server for Early Access program members (you'll receive an email with invite)
- Download the AP Workflows Nodes Snapshot for ComfyUI Manager from the Discord server.
- Download the AP Trainer 1.0 EA1 json file from the Discord server.
- Follow the installation steps.
- Open AP Trainer 1.0 EA1 from ComfyUI Manager with CTRL/CMD+O.
What's New in AP Trainer 1.0 EA1
- [EA1] First pre-release of the first release.
Early Access Program
Pros
- You'll gain a competitive edge at work!
- You'll be able to provide early feedback on AP Workflows' design and potentially influence its development.
- You'll support the future development of the AP Workflows.
- There will be no documentation.
- Things might change without notice.
- There is no guarantee you'll receive support.
Stay In The Loop
Work with Alessandro
However, Alessandro can assist your company on a wide range of activities:
- Workflow Design Workshop
- LoRA Training & Model Fine Tuning Workshop [coming soon]
- Customized Workflow Design
- Remote Consulting
Where to Start?
Soon.
Installation
Required Custom Nodes
AP Workflows depend on multiple custom nodes to work. You must download and install ComfyUI Manager, and then install the required custom nodes suites to be sure you can run this workflow.
Instructions:
- Install ComfyUI in a new folder to create a clean, new environment (a Python 3.10 venv is recommended).
- Install ComfyUI Manager.
- Shut down ComfyUI.
- Download the snapshot.
- Move/copy the snapshot to the /ComfyUI/custom_nodes/ComfyUI-Manager/snapshots folder.
- Restart ComfyUI.
- Open ComfyUI Manager and then the new Snapshot Manager.
- Restore the APW Nodes Snapshot.
- Restart ComfyUI.
Required AI Models
The SDXL fine-tuned models compared in AP Trainer 1.0 can be found on the Civitai website or on the Hugging Face website.
AP Trainer only compares models that are publicly available and free to access.
Should a model become paywalled, it will be removed from AP Trainer.
Node XYZ failed to install or import
Occasionally, AP Workflow users can’t install or import a custom node suite necessary to run AP Workflow. This happens when you try to use AP Workflow in a pre-existing ComfyUI environment that you have installed loooooooooong time ago.
If you have a similar problem, be sure to:
-
Have all your packages up to date in your Python virtual environment for ComfyUI.
To do so:- Terminate ComfyUI.
- Manually activate its Python virtual environment with source /venv/bin/activate.
- Run pip install -U pip to upgrade pip.
- Run pip install -U setuptools to upgrade setuptools.
- Run pip install -U wheel to upgrade wheel.
- Run pip install -U -r requirements.txt to upgrade all the packages in the virtual environment.
- Check the installation instructions of the custom node suite you are having troubles with.
If you have installed ComfyUI in a new environment and you still fail to install or import a custom node suite, open an issue on the GitHub repository of the author.
Special Thanks
ComfyUI Node Developers
AP Workflows wouldn’t exist without the dozen of custom nodes created by very generous members of the AI community.
In particular, special thanks to:
@kijai:
- His Set and Get nodes enable the modular design of AP Trainer.
- His ImageGridComposite node generates a convenient XY Plot image.
@rgthree:
- His Fast Groups Muters node powers AP Trainer control panel.
- His Image Comparer node is critical to inspect and compare the behavior of the models in AP Trainer.
@ltdrdata:
- His ComfyUI Manager is critical to manage package and model dependencies in AP Trainer.
Thanks to all of you, and to all other custom node creators for their help in debugging and enhancing their great nodes.