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Miyo v0.0.5

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@Torro101 Torro101 released this 02 Jun 13:15

Miyo v0.0.5

This release focuses on app identity, release packaging, local reading reliability, native performance work, and the image refinement pipeline.

Highlights

  • Updated the app icon and launcher assets across adaptive, round, legacy, splash, README, and GitHub metadata surfaces.
  • Bumped the Android package version to 0.0.5 / versionCode 12.
  • Keeps the release APK lean by bundling only the default general-x4v3 refinement model.
  • Publishes the optional downloadable refinement model pack separately with general-x4v3, fast-x2v1, sharp-x4v1, and webtoon-x4v1.
  • CI verifies that the release APK contains only assets/models/general-x4v3.json and packages the remaining refinement models as a separate ZIP.

Reader, Downloads, And Local Library

  • Improved downloaded/local manga indexing so manga with real downloaded chapters is surfaced more reliably.
  • Strengthened downloaded-page handling with local-first reading paths and safer corruption checks.
  • Continued download reliability work around adaptive parallelism, stuck-download visibility, cancellation/pause state, and provider-specific slowdowns.
  • Improved captcha/WebView cookie handoff paths so solved provider checks can be reused more consistently where providers allow it.

Native And Performance Work

  • Native C++ helpers are wired into CI and validated across ABIs.
  • Native image probing helps reject empty/corrupt image responses before they poison local storage.
  • Native ZIP/CBZ work reduces archive overhead where available.
  • Native refinement/image processing groundwork improves responsiveness while retaining Kotlin fallbacks on unsupported devices.

Lineage

Miyo is a rebranded fork and continuation of Usagi, which itself is derived from Kotatsu. This release keeps that lineage visible while moving the project under the Miyo name and package identity.

Assets

  • Install Miyo-v0.0.5-release.apk for the app.
  • Download miyo-refinement-models-v0.0.5.zip only if you want the optional refinement models beyond the bundled default.

Full Changelog: v0.0.4...v0.0.5