Thank you for your confirmation and I'm glad it's working!
MasuOne
Creator of
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Hello.
I have just released version 1.0.4.
In this update, I’ve added a feature to manually change the Port number for the Process Server. If the server still fails to start, please try changing the port to a different number (like 8001 or 8081) to avoid any potential conflicts.
Please give it a try and let me know if this resolves the issue for you. Thank you for your patience and for helping me improve the app!
Hi! Thank you so much for your kind words and for supporting PixelAfterAll!
I’m also very grateful for the detailed workaround you shared for running it on Linux via Bottles.
I will try to create a new Linux build (AppImage) for the latest version.
Since I don't have a native Linux environment, my testing will be limited, but I’ll give it a shot!
Sorry for the trouble you're having with PixelAfterAll.
Some filter nodes in the app rely on a Process Server at port 8000.
Could you check if you see this running in your system (refer to the attached image)?
In my own Windows environment, I've noticed the server occasionally fails to start. I suspect it might be a port conflict with another application. To fix this, I'm planning to implement a port configuration setting and stop/restart functions in the upcoming version 1.0.4.

Hi there,
Thank you very much for purchasing PixelAfterAll and for your kind words!
I am truly sorry for the trouble you're experiencing with the function.
To help me investigate the cause, could you please provide a few more details?
- Template: Which template were you using when the issue occurred?
- OS: What is your operating system?
- Input Image: Could you describe what kind of image you are processing? If you are comfortable sharing the image (or a similar sample), it would be a huge help for my investigation, but please don't feel obligated to do so.
Thank you for your patience and cooperation!
Hello! Thank you for the kind words about our work, and for taking the time to read the documentation.
Regarding your question about rendering:
- 16x16 to 32x32: It is possible to use PixelAfterAll for an upscaling task like rendering 16x16 to 32x32. However, for a small scale-up like this, the result will mostly be a simple enlargement of the original pixels.
- Resolution Lowering: PixelAfterAll is generally more effective when decreasing resolution (e.g., 128x128 down to 16x16) as it excels at capturing the essence and style of the original high-resolution image and distilling it into a lower-resolution format.
- Manual Cleaning: Whether manual cleanup is needed depends entirely on the conversion result for your specific image. Even if some manual correction is required, PixelAfterAll should significantly streamline the process and get you closer to the final product.
For example, the dog in this X post (linked below) only required a small manual adjustment to the eyes after the conversion:
https://x.com/masuone_/status/1988547225929101804
I hope this clarifies things! Let me know if you have any other questions as you start experimenting with the tool.
Thank you for the detailed feedback, and we apologize for the inconvenience.
Regarding pin connections:
You can delete connected pins by selecting them and pressing the Delete key. We understand this wasn't clear.We're working on improving the UX in the next version. We aim to release it this month.
We appreciate your patience and will continue improving the software!
Thanks for your questions!
- Preset JSON nodes: You can check template flows from the menu (available in the free version as well).
- Mixels handling: Currently, the tool doesn't have dedicated mixel correction features, but you can improve the results by combining several resize nodes. I'm planning to dedicate time to properly address this issue in the future.
- Free version limitations: The free version cannot:
- Save flows
- Change parameter values in nodes (mainly numerical settings)
Thanks for the suggestion! Just to clarify what you're looking for:
Are you saying it would be helpful to either:
- Be able to specify percentage scaling directly (like 12.5% to go from 8px pixels down to 1px in one step), OR
- Have a feature that recognizes the actual pixel size (e.g., "treat every 8x8 pixels as 1 pixel") and outputs the image at its true resolution (so a 128x128px image with 8px pixels would become a clean 16x16px image)?
Both approaches would definitely streamline the cleanup process for upscaled/AI-generated pixel art. I want to make sure I understand your use case correctly.
Hello, yes you can resize a 32x32 pixel image to 128x128px using the Nearest algorithm (Use Resize to side node) to get a higher resolution image that still looks like it has 32x32 pixels.
There are 2 ways to reduce the number of colors:
- Define your own custom color palette with fixed colors
- Use the Kmeans node to reduce colors, where you can specify the exact number of colors you want
Thank you for reporting this issue.
I also encountered the same error message "PixelAfterAll is damaged and can't be opened" when trying to run the .dmg downloaded from itch.io. Rebuilding didn't resolve the issue, although interestingly, the file runs without errors before uploading to itch.io.
After various tests, I found it can be launched using these commands (based on a YouTube tutorial: https://www.youtube.com/watch?v=DgEA6qu4kYc):
% sudo spctl --master-disable Password: Globally disabling the assessment system needs to be confirmed in System Settings. % xattr -cr /Applications/PixelAfterAll.app
While this is not an ideal solution, it does allow the application to run.
I'll be working on improving this so the app can launch without these error messages in future updates.
Thank you for your valuable feedback.
I appreciate your comments, especially regarding the number of sprites, lack of animations, and suitability for video game development needs.
In light of these issues, I have decided to temporarily stop selling the product. I will rethink and revise both the content and pricing, aiming to re-release a product that better meets the needs of more users.



















