2 models · video and image

Topaz API

Topaz is a family of AI video and image models. varg runs 2 of them on one API key: Topaz Video Upscale and Topaz Image Upscale. Between them they cover upscale and image to image; they return video and images.

Price
From $0.16 per run Topaz Image Upscale
Topaz Video Upscale
From $0.50 per run
Flagship id
topaz_video

Every Topaz model runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.

POST /v2/tools/video/call
curl -X POST https://api.varg.ai/v2/tools/video/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "topaz_video",
  "files": [
    {
      "url": "https://example.com/input.mp4"
    }
  ]
}'

Topaz models and prices

Topaz on varg starts from $0.16 per run (Topaz Image Upscale). Prices are in US dollars and are the provider's own, with no markup. A "from" price is the cheapest request the catalog states for that model; each model's page has every rate and input. The descriptions are the catalog's own, shortened.

Topaz models on varg
ModelCatalog descriptionTakesPriceTypical time
Topaz Video Upscaletopaz_videoTopaz-quality video upscaling.UpscaleFrom $0.50 per run~2 min
Topaz Image UpscaletopazTopaz-quality image upscaling.Image to imageFrom $0.16 per run$0.16/image~30 s

Call the Topaz API

The call below runs Topaz Video Upscale. For another Topaz model, put its id from the table in "model"; the rest of the request keeps its shape.

REST

POST https://api.varg.ai/v2/tools/video/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away; poll GET /v2/jobs/{id} until its status is completed, then read output.outputs[0].url.

POST /v2/tools/video/call
curl -X POST https://api.varg.ai/v2/tools/video/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "topaz_video",
  "files": [
    {
      "url": "https://example.com/input.mp4"
    }
  ]
}'

From Claude, ChatGPT or Cursor (MCP)

The varg MCP server, https://mcp.varg.ai/mcp, runs Topaz Video Upscale with call_tool. Sign in with varg, no API key to paste. How to connect it

Claude Code
claude mcp add --transport http varg https://mcp.varg.ai/mcp
call_tool
{
  "tool": "video",
  "input": {
    "model": "topaz_video",
    "files": [
      {
        "url": "https://example.com/input.mp4"
      }
    ]
  },
  "wait": true
}

From a terminal (CLI)

vargai is the varg command line: every tool of the MCP server is a command. Install and log in

vargai
curl -fsSL https://varg.ai/install | sh
vargai call_tool --tool video '{"model":"topaz_video","files":[{"url":"https://example.com/input.mp4"}]}'

How billing works

Every model is billed at its provider's price with no markup, from one credit balance: 1 credit is $0.01. varg's fee is on the top-up, not on the run: 5.5% of the credits you buy ($0.80 at the least), or 8% for a team workspace. Pricing

How to use Topaz

Step-by-step pages on varg how to.

Topaz API: questions

How much does the Topaz API cost on varg?
The lowest price the catalog states in the Topaz family is from $0.16 per run ($0.16/image), on Topaz Image Upscale. Every model is billed at its provider's price with no markup, from one credit balance: 1 credit is $0.01. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.
Which Topaz models are on varg?
2: Topaz Video Upscale (from $0.50 per run) and Topaz Image Upscale (from $0.16 per run). Each has its own page with the parameters and a call to copy.
Which Topaz models take an image?
1 of the 2: Topaz Image Upscale. The catalog lists image to image for it; pass the image as a URL in "files".
How long do Topaz requests take?
Typically from about 30 s (Topaz Image Upscale) to about 2 min (Topaz Video Upscale), by the catalog's estimates for each model's fastest route. The API answers at once with a job id, so nothing waits on an open connection while it runs.
How do I call the Topaz API?
Send POST https://api.varg.ai/v2/tools/video/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model", for example "model": "topaz_video". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.
Can I use Topaz from Claude, ChatGPT or Cursor?
Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs a model with call_tool, passing tool "video" and the model id, for example "model": "topaz_video".

More model APIs

Same API key, same request shape: change the model string to switch.

All models

For AI agents: each model above has its full spec as Markdown at varg.ai/models/topaz_video.md (swap the id), and every model is listed in varg.ai/models/llms.txt.