https://github.com/kents00/stickr
Import images as sticker
https://github.com/kents00/stickr
blender-addon blender-python blender3d
Last synced: 29 days ago
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Import images as sticker
- Host: GitHub
- URL: https://github.com/kents00/stickr
- Owner: kents00
- License: mit
- Created: 2024-01-18T16:04:51.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-26T11:08:31.000Z (over 1 year ago)
- Last Synced: 2025-02-04T18:17:10.467Z (3 months ago)
- Topics: blender-addon, blender-python, blender3d
- Language: Python
- Homepage:
- Size: 174 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# StickR
This addon aims to seamlessly convert images into stickers that are specifically tailored for easy application on a 3D model. The process involves meticulously transforming the images and optimizing them with precision to ensure their perfect integration as high-quality stickers on the model.


[](https://ko-fi.com/Q5Q8BW198)### Installation
To install this add-on in Blender, follow these steps:
- Open Blender and go to Edit > Preferences.
- In the Preferences window, select the "Add-ons" tab.
- At the bottom of the window, click the "Install" button.
- In the file browser that opens, navigate to the location of the add-on file you want to install. The add-on file should have a .zip extension.
- Select the add-on file and click the "Install Add-on from File" button.
The add-on will now be installed and will appear in the list of available add-ons. To enable the add-on, locate it in the list and click the checkbox next to its name.
You can also install an add-on by clicking the "Install from File" button in the "Add-ons" tab of the Preferences window and selecting the add-on file from the file browser.## Issues
If you're having trouble integrating this code into your addon, [open a new issue](https://github.com/kents00/StickR/issues). As the module continues to develop, it will be easier for more developers to integrate updates and improve blender's overall user performance!