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.
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.
| Model | Catalog description | Takes | Price | Typical time |
|---|---|---|---|---|
Topaz Video Upscaletopaz_ | Topaz-quality video upscaling. | Upscale | From $0.50 per run | ~2 min |
Topaz Image Upscaletopaz | Topaz-quality image upscaling. | Image to image | From $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.
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 mcp add --transport http varg https://mcp.varg.ai/mcp{
"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
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.
- AI video API
- AI image API
- Kling API
- Veo API
- Seedance API
- Wan API
- GPT Image API
- Nano Banana API
- FLUX API
- Seedream API
- MiniMax API
- HeyGen API
- Grok Imagine API
- Gemini Omni API
- OmniHuman API
- PixVerse API
- LTX API
- Kandinsky API
- Vidu API
- Happy Horse API
- Sync lipsync API
- ID-V2V API
- SeedVR API
- Krea API
- Ideogram API
- Recraft API
- Bria API
- Qwen Image API
- Phota API
- Higgsfield Soul API
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.