Upscale and enhance media with Topaz through RunAPI. Use when the user asks an agent to upscale or enhance images and video with Topaz. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
Scanned 6/4/2026
Install via CLI
openskills install runapi-ai/topaz---
name: topaz
description: Upscale and enhance media with Topaz through RunAPI. Use when the user asks an agent to upscale or enhance images and video with Topaz. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
documentation: https://runapi.ai/models/topaz.md
provider_page: https://runapi.ai/providers/topaz.md
catalog: https://runapi.ai/models.md
metadata:
openclaw:
homepage: https://runapi.ai/models/topaz
requires:
bins:
- runapi
install:
- kind: brew
formula: runapi-ai/tap/runapi
bins:
- runapi
envVars:
- name: RUNAPI_API_KEY
required: false
description: Optional RunAPI API key; agents should prefer environment auth or saved CLI config. Browser login is interactive only.
---
# 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. Run `runapi auth status` first. For agents and headless runs, prefer `RUNAPI_API_KEY` or import it into saved config with `printf '%s' "$RUNAPI_API_KEY" | runapi auth import-token --token -`. Use `runapi login` only when the user explicitly wants interactive browser auth.
Inspect the available commands and request fields with CLI help:
```shell
runapi topaz --help
runapi topaz upscale-image --help
```
Run a one-off task (synchronous — polls until the task completes):
```shell
runapi topaz upscale-image --input-file request.json
```
Submit asynchronously and poll separately:
```shell
runapi topaz upscale-image --async --input-file request.json
runapi wait <task-id> --service topaz --action upscale-image
```
Available commands: `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](https://runapi.ai/models/topaz/upscale-image.md)
- [Video upscale](https://runapi.ai/models/topaz/upscale-video.md)
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