Using in Desktop App

Using in Desktop App

Get started with the WaveSpeed Desktop App to run models without writing code. It’s ideal for quick experiments, demos, and day-to-day content generation.

Prerequisites

  • A WaveSpeedAI account and API key. See the Authentication guide or visit the access key page.
  • macOS/Windows/Linux supported by the desktop build.

Install

  1. Open the GitHub repository for the desktop app: https://github.com/WaveSpeedAI/wavespeed-desktop
  2. Go to the Releases section and download the latest installer for your OS.
  3. Install and launch the app.

First-time setup

  1. Open the app.
  2. Paste your API key when prompted (you can find it at https://wavespeed.ai/accesskey).
  3. Save settings.

If you don’t have an API key yet, follow the Authentication guide.

Run your first model

  1. In the app, select a model (for example: wavespeed-ai/z-image/turbo).
  2. Enter your prompt (e.g., “Cat in space, cinematic lighting”).
  3. Click Run. The app will submit a job and show progress until it completes.
  4. When finished, you’ll see output URLs or previews you can download.

Tips:

  • Start with short prompts and increase detail as needed.
  • Use negative prompts or guidance fields (if available in the UI) to refine results.

Working with inputs

  • Image-to-video or image-to-image: choose or drag a local file into the input field (the app will handle uploading behind the scenes).
  • Video or audio inputs: similarly upload your source files, then configure any model-specific parameters.

Troubleshooting

  • Invalid API key: re-check your key on https://wavespeed.ai/accesskey.
  • Network/timeout: retry the job; consider trying again later if the service is busy.
  • Model-specific errors: adjust inputs (prompt length, file size/format) per the model’s documentation in this site’s API pages.

Learn more

  • Desktop App repository: https://github.com/WaveSpeedAI/wavespeed-desktop
  • Full API reference and per-model docs: browse the items under “WaveSpeedAI API” and vendor sections in the sidebar.
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