https://github.com/Nourepide/ComfyUI-Allor

ComfyUI plugin for image processing and work with alpha chanel.
https://github.com/Nourepide/ComfyUI-Allor

comfyui stable-diffusion

Last synced: about 2 months ago
JSON representation

ComfyUI plugin for image processing and work with alpha chanel.

• Host: GitHub
• URL: https://github.com/Nourepide/ComfyUI-Allor
• Owner: Nourepide
• License: mit
• Created: 2023-05-14T16:48:02.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-22T18:11:17.000Z (4 months ago)
• Last Synced: 2024-06-04T07:34:55.487Z (4 months ago)
• Topics: comfyui, stable-diffusion
• Language: Python
• Homepage:
• Size: 139 KB
• Stars: 169
• Watchers: 3
• Forks: 20
• Open Issues: 21
• Metadata Files:
  • Readme: README.MD
  • License: LICENSE

Awesome Lists containing this project

• awesome-comfyui - Comfyui-Allor

README

        
![logo](https://raw.githubusercontent.com/Nourepide/ComfyUI-Allor-Res/c4147e55cf8ec26ca79fe3df6e1af71aca58c19e/v.2/logo_v.2_git.png)

  This image from start to end was done in ComfyUI. How?

1. Install plugin.

2. Load fonts [Overlock SC](https://fonts.google.com/specimen/Overlock+SC) and [Merienda](https://fonts.google.com/specimen/Merienda).

3. Put `OverlockSC-Regular.ttf` and `Merienda-Regular.ttf` in to `fonts` folder.

4. Load [RealESRNet_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth) and put in to `models/upscale` folder.

5. Load [AOM3A1B_orangemixs.safetensors](https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1B_orangemixs.safetensors) and put in to `models/chekpoints` folder.

6. Load [orangemix.vae.pt](https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/VAEs/orangemix.vae.pt) and put in to `models/vae` folder.

7. Drag-and-drop this [image](resources/logo.png) to ComfyUI or load [JSON](https://raw.githubusercontent.com/Nourepide/ComfyUI-Allor-Res/c4147e55cf8ec26ca79fe3df6e1af71aca58c19e/v.2/logo_v.2.json).

8. Press the `Queue Promt` button.

## About Allor:

* Allor is a high-performance ComfyUI plugin designed for image processing.

* It comprises more than 90 nodes, each with numerous parameters for your needs.

* It supports transparency and multi-image processing across all modules and nodes.

* Allor is fully configurable, offering the option to disable any functionality that is not required.

* The majority of its operations are implemented in tensor space to avoid unnecessary data transformations.

## Documentation

We are pleased to present to you our new documentation.

The [documentation](https://nourepide.github.io/ComfyUI-Allor-Doc/) includes information about [installation](https://nourepide.github.io/ComfyUI-Allor-Doc/installation-allor.html), [updating](https://nourepide.github.io/ComfyUI-Allor-Doc/updating.html), all [nodes](https://nourepide.github.io/ComfyUI-Allor-Doc/modules.html) including their parameters and much more.

## Image Rebasing

We recently rebased the **Allor** repository by **removing all images** from the history, which resulted in a significant reduction in its size - by a factor of about **344**.

However, because of this change, you may encounter **problems with updates**.

We have instructions in the documentation to help you:

* [Troubleshooting for Auto-Update](https://nourepide.github.io/ComfyUI-Allor-Doc/updating.html#troubleshooting_auto_update)

* [Troubleshooting for Git](https://nourepide.github.io/ComfyUI-Allor-Doc/updating.html#troubleshooting_git)

## Contributing:

ComfyUI Allor is an open source project and I welcome any contributions from the community.

* **Suggest ideas**: If you have thoughts on improving this plugin, feel free to share them on GitHub.

* **Report bugs**: If you find a bug or problem, please report it in the Issue with steps to reproduce it.

* **Make pull requests**: If you’d like to help with the plugin’s code, you can copy this repository, make your changes, and I’ll check and include them if they work well with the plugin.

## Jupiter Notebook:

To run Allor on another cloud service, you can use this [Jupiter Notebook](resources/allor.ipynb).

If you have a subscription to [Colab Pro](https://colab.research.google.com/signup), then you can run Allor in [Google Colab](https://colab.research.google.com/drive/1qOALtMEG_f6DN0o9mxUih6x_7PTPYM8X?usp=sharing).