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SPECIFICTION
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GalleryWall

github.com

Free plan Android
Visit github.com
Spec score 7.5 #12 of 22 in AI Wallpaper Generators

What it is

GalleryWall is an Android app that creates wallpapers using AI models running on the device. Its Automation tab can refresh the wallpaper periodically with a prompt builder and custom intervals. The app groups recent wallpapers by date and lets users manage providers, choose local models, or download models from GitHub. Image options include Black & White, Sepia, Invert, and Blur filters, along with Fit, Fill, and Seamless Pattern Tile layouts. The README says local inference supports offline use and the app can start directly after a device restart. The maker says prompts, generated images, and model configuration are processed and stored on-device, not sent to its servers or third parties. Its privacy policy lists Google Play Services and notes that third-party services may collect identifying information and error logs. Local generation can use substantial device resources and battery; a listed Stable Diffusion model file is about 1.78 GB. GalleryWall is free, open source under Apache License 2.0, and its README directs users to repository issues for bugs or feature requests.

Spec sheet

Purpose
GalleryWall is a local-first Android app that generates wallpapers with on-device AI models.Read 2 Oct 2026 · github.com
Privacy
The maker says prompts, generated images, and model configuration data are processed and stored on-device and are not sent to its servers or third parties.Read 2 Oct 2026 · github.com
Support
The README directs users to open an issue in the repository for bugs or feature requests.Read 2 Oct 2026 · github.com
License
The repository states that the project is licensed under Apache License 2.0.Read 2 Oct 2026 · github.com
Maker
The maker's personal site identifies Oleg Baidalka as an indie maker and lists GalleryWall as an open-source Android project.Read 2 Oct 2026 · 01eg.me
Custom providers
Developers can add custom wallpaper providers, with Firebase AI SDK and Vertex AI Imagen given as examples of remote cloud generators.Read 2 Oct 2026 · github.com
Gallery and providers
The app groups recent wallpapers by date and lets users manage providers, select local models, or download models from GitHub.Read 2 Oct 2026 · github.com
Image styling
It offers Black & White, Sepia, Invert, and Blur filters, plus Fit, Fill, and Seamless Pattern Tile options.Read 2 Oct 2026 · github.com
Model requirements
The README lists a Stable Diffusion model file of about 1.78 GB, and the terms say local generation can use substantial device resources and battery.Read 2 Oct 2026 · github.com
Offline and startup behavior
The README says local inference supports offline use and the app supports direct boot after a device restart.Read 2 Oct 2026 · github.com
Third-party services
The privacy policy lists Google Play Services and says third-party services may collect identifying information and error log data.Read 2 Oct 2026 · github.com
Wallpaper automation
Its Automation tab can periodically refresh the wallpaper using a prompt builder and custom intervals.Read 2 Oct 2026 · github.com

Plans and prices

Free Free Provided at no cost · Android app Read 2 Oct 2026 · github.com

Every GalleryWall plan and price →

Strong points and limits

Strong points

  • Local inference supports offline use
  • Wallpaper refresh can run on custom intervals
  • Provides several filters and layout options
  • Prompts and generated images stay on-device, according to the maker

Limits

  • A listed Stable Diffusion model file is about 1.78 GB
  • Local generation can use substantial resources and battery
  • Third-party services may collect identifying information and error logs

Who it suits

GalleryWall suits Android users who want to generate and schedule wallpapers with local AI models. It may also suit users who can accommodate the storage, battery, and device-resource demands of local generation.

Verdict

GalleryWall combines on-device wallpaper generation with scheduling and image styling options. Consider its model size and resource demands, along with the privacy policy’s note about third-party services.

Where Specifiction places it

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