fal.ai · Image upscale
Topaz Precision
Topaz Precision, image upscale, served by fal.ai. The OpenAPI schema for the topaz/upscale/image/precision queue. Price: $0.08 per started 24 megapixels of output (input size times the square of the upscale factor), measured on the rendered image after the call; the reservation is the bound you declare and the difference is refunded.
$0.08 / unitfal.aiImagefal/topaz-upscale-precisionListed
Activation pending; your agent will see it as unavailable until then.
Use this tool with your agent
Give this to your agent
Use my connected Agentik MCP server. I want to use the tool fal/topaz-upscale-precision (Topaz Precision, image upscale). Call inspect_tool with {"tool_id": "fal/topaz-upscale-precision"} first and tell me the price before anything runs. Ask me for the inputs it needs; never invent values, IDs or file URLs. When I confirm, call run_tool with tool_id "fal/topaz-upscale-precision" and my inputs, follow it with get_run if it is still running, and give me the result and the price Agentik reports. If the tool is unavailable, say so and use discover_tools to propose an alternative.Show the prompt
Paste it into Claude, ChatGPT or Codex: your agent takes it from there, and shows the price before it runs.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
model | string | No | Precision upscaling model. Standard V2 fits most photos; High Fidelity V3/V2 preserve detail in professional shots; Low Resolution V2 recovers compressed sources; CGI targets art and rendered graphics; Text Refine keeps text and shapes crisp. Options: Standard V2, High Fidelity V3, High Fidelity V2, Low Resolution V2, CGI, Text Refine. |
fix_compression | number | No | Compression artifact removal level (0.0-1.0). Not supported by the CGI model. |
strength | number | No | Enhancement strength (0.01-1.0). Applies to Text Refine model only. |
sharpen | number | No | Sharpening level (0.0-1.0). Default varies by model. |
denoise | number | No | Denoising level (0.0-1.0). Default varies by model. |
face_enhancement_creativity | number | No | Creativity level for face enhancement. 0.0 means no creativity, 1.0 means maximum creativity. Ignored if face enhancement is disabled. |
output_format | string | No | Output format of the upscaled image. Options: jpeg, png. |
upscale_factor | number | No | Factor to upscale the image by (e.g. 2.0 doubles width and height) |
face_enhancement_strength | number | No | Strength of the face enhancement. 0.0 means no enhancement, 1.0 means maximum enhancement. Ignored if face enhancement is disabled. |
subject_detection | string | No | Subject detection mode for the image enhancement. Options: All, Foreground, Background. |
face_enhancement | boolean | No | Whether to apply face enhancement to the image. |
crop_to_fill | boolean | No | |
image_url | string | Yes | Url of the image to be upscaled |
max_megapixels | number | No | Upper bound of the output megapixels, in megapixels (default 24, max 240). The reservation is this bound at the unit price; after the call the megapixels fal meters are billed and the rest is refunded. Declare at least the real amount: a larger input is still processed but is never billed above the reservation. |
How your agent calls it
First inspect_tool for the current schema and price, then run_tool with the published example after confirming your inputs:
{
"tool_id": "fal/topaz-upscale-precision",
"input": {
"image_url": "https://storage.googleapis.com/falserverless/model_tests/codeformer/codeformer_poor_1.jpeg",
"upscale_factor": 2,
"max_megapixels": 24
}
}Price and billing
- Price
- $0.08 / unit
- Model
- Per unit
- Detail
- The provider’s price, with no markup. Billed for measured usage.
- The provider’s price, 0% markup.
- One prepaid balance for every provider; your agent sees the price before it runs.
- Pay for measured usage; unused reservations are released.