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@github-actions github-actions released this 03 Jul 16:08
v0.1.0
6387a97

A desktop app (Windows & macOS) for AI image generation — run models in the
cloud or locally on your own GPU, from one clean interface.

✨ Highlights

Two ways to generate

  • ☁️ Cloud — generate on imference.com. Pay with an API key (credits) or
    with x402 (USDC on Base) — switch anytime; the app shows the active
    method's status and links you straight to its settings.
  • 💻 Local — install the engine in one click and run SDXL / Z-Image
    models on your own GPU. The engine starts/stops on demand, so cloud-only users
    spend no GPU/RAM.

Model catalog & parameters

  • Live model catalog with per-model credit cost for cloud runs.
  • Per-model parameters from the catalog: format/ratio, steps, CFG, seed,
    editable quality tags (pre-prompt) + negative prompt.
  • Image-to-image in local mode.

Gallery

  • Every generation is saved with its metadata (prompt, model, params, seed).
  • Aspect-aware masonry with a fullscreen viewer, filters (model / engine
    / source), adjustable columns, infinite scroll, and delete.

Settings

  • One tidy window with a side nav; changes save automatically.
  • Per-engine machine tuning (device, VAE, offload…).

📥 Install

Windows

  • Recommended: imference-desktop-go-windows-amd64-installer.exe (installer), or
    the portable imference-desktop-go-windows-amd64.exe.
  • Unsigned → SmartScreen may warn on first launch: More info → Run anyway.

macOS (universal — Intel & Apple Silicon)

  • Open the .dmg, drag Imference Desktop to Applications.
  • Unsigned/un-notarized → Gatekeeper blocks it on first open: right-click the
    app → Open    , or run xattr -cr "/Applications/Imference Desktop.app".

Verify downloads against checksums.txt (SHA-256) if you like.

🧩 Requirements

  • Windows 10/11 (x64) — WebView2 runtime (bundled by the installer).
  • macOS 12+ (Apple Silicon or Intel).
  • Local generation: an NVIDIA GPU (CUDA 12.4) on Windows, or Apple Silicon
    (MPS) on macOS. The one-click installer sets up an isolated Python environment;
    each model is ~6–7 GB, downloaded on demand.
  • Cloud generation: an imference.com API key (credits) or a funded x402
    wallet (USDC on Base).

⚠️ Notes

  • Unsigned builds — SmartScreen / Gatekeeper prompts as above. Signing +
    notarization are planned.
  • No in-app auto-update yet — grab new versions from the Releases page for
    now (auto-update is coming next).
  • Windows is the most-tested platform; macOS is fresh — please report issues.

Full Changelog: https://github.com/Publikey/imference-desktop/commits/v0.1.0

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