Topaz on RunAPI

Upscale and enhance media with Topaz through RunAPI. The default path for one-off agent tasks is the runapi CLI; SDKs are for application integration.

Routing decision

• One-off generation, editing, or transformation for the user → use the CLI path with the runapi binary.
• Building an app, backend, worker, library, or production codebase → use the SDK integration path.

CLI path

The runapi binary is the runtime dependency. Authenticate with runapi login (browser) or set RUNAPI_API_KEY; a saved CLI config also works — no required environment variable.

Inspect the available actions and request fields with CLI help:

runapi topaz --help
runapi topaz upscale-image --help

Run a one-off task (synchronous — polls until the task completes):

runapi topaz upscale-image --input-file request.json

Submit asynchronously and poll separately:

runapi topaz upscale-image --async --input-file request.json
runapi wait \x3Ctask-id> --service topaz --action upscale-image

Available actions: upscale-image, upscale-video.

SDK integration path

When integrating Topaz into an app, backend, worker, or library — not for one-off tasks — use a RunAPI SDK package:

• JavaScript / TypeScript: @runapi.ai/topaz
• Ruby: runapi-topaz
• Go: github.com/runapi-ai/topaz-sdk/go

References

• Model overview, pricing, and rate limits: https://runapi.ai/models/topaz.md
• Provider comparison: https://runapi.ai/providers/topaz.md
• Full model catalog: https://runapi.ai/models.md

Variants

• Image upscale
• Video upscale