Topaz Labs modelsimage generation api

topaz/upscale/image/precision

Upscale Image Precision is Topaz Labs's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Input

PNG, JPEG, WebP, or GIF · 20 MiB maximum

Url of the image to be upscaled
0.011
Enhancement strength (0.01-1.0). Applies to Text Refine model only. Range: 0.01 to 1.
Output format of the upscaled image. Allowed values: jpeg, png.
01
Denoising level (0.0-1.0). Default varies by model. Range: 0 to 1.
01
Creativity level for face enhancement. 0.0 means no creativity, 1.0 means maximum creativity. Ignored if face enhancement is disabled. Range: 0 to 1.
01
Strength of the face enhancement. 0.0 means no enhancement, 1.0 means maximum enhancement. Ignored if face enhancement is disabled. Range: 0 to 1.
01
Compression artifact removal level (0.0-1.0). Not supported by the CGI model. Range: 0 to 1.
14
Factor to upscale the image by (e.g. 2.0 doubles width and height) Range: 1 to 4.
Whether to apply face enhancement to the image.
Subject detection mode for the image enhancement. Allowed values: All, Foreground, Background.
01
Sharpening level (0.0-1.0). Default varies by model. Range: 0 to 1.
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. Allowed values: Standard V2, High Fidelity V3, High Fidelity V2, Low Resolution V2, CGI, Text Refine.
Idle

Example output — click Run to generate your own

API README

Precision

Precision addresses the topaz/upscale/image/precision workflow for precision work in image production. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Upscale Image Precision is Topaz Labs's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion. Because topaz/upscale/image/precision is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. Those strengths describe this precise catalog entry rather than its siblings.

image controls url of the image to be upscaled; strength controls enhancement strength (0.01-1.0). Applies to Text Refine model only; output format controls output format of the upscaled image; output format accepts jpeg, png; denoise controls denoising level (0.0-1.0). Default varies by model; face enhancement creativity controls creativity level for face enhancement. 0.0 means no creativity, 1.0 means maximum creativity. Ignored if face enhancement is disabled; face enhancement strength controls strength of the face enhancement. 0.0 means no enhancement, 1.0 means maximum enhancement. Ignored if face enhancement is disabled; fix compression controls compression artifact removal level (0.0-1.0). Not supported by the CGI model. Precision exposes image, strength, output_format, denoise, face_enhancement_creativity, face_enhancement_strength, fix_compression as its documented request surface. For example, the route documentation includes “https://static.sandbase.ai/examples/topaz/upscale/image/precision/input_image_0.jpeg”. The mandatory portion is image. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing.

Highlights

  • Precision-first enlargement. Topaz Upscale Image Precision increases image dimensions while prioritizing faithful reconstruction of the supplied source.
  • Controlled detail recovery. The workflow strengthens edges and texture without treating stylistic reinvention as the primary objective.
  • Product and archival utility. It suits images where logos, geometry, faces, or documentary content should remain close to the original.
  • Production-size output. The result is prepared for higher-resolution layouts, review, and delivery with a conservative enhancement profile.

Pricing

Billing optionPrice
Per request$0.08

When to Use

ScenarioWhy it fits
Choose PrecisionUse it when the job specifically calls for precision and the route’s documented input contract matches assets already available in your workflow.
Keep the request reproducibleUse the required image explicitly, then record optional choices alongside the prompt for repeatable reruns.
Build controlled creative variationsChange one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions.
Integrate asynchronous deliveryUse this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact.
Validate before a large batchRun representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production.

Prompt Guide

Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for topaz/upscale/image/precision.

{
  "image": "https://static.sandbase.ai/examples/topaz/upscale/image/precision/input_image_0.jpeg",
  "output_format": "jpeg",
  "subject_detection": "All",
  "model": "Standard V2"
}

Technical Specs

SpecificationDetails
Model IDtopaz/upscale/image/precision
Execution modeasync
Task typeimage
imagestring · required
strengthnumber · optional · min 0.01 · max 1
output_formatstring · optional · choices: jpeg, png
denoisenumber · optional · min 0 · max 1
face_enhancement_creativitynumber · optional · min 0 · max 1
face_enhancement_strengthnumber · optional · min 0 · max 1
fix_compressionnumber · optional · min 0 · max 1
crop_to_fillboolean · optional
upscale_factornumber · optional · min 1 · max 4
face_enhancementboolean · optional
subject_detectionstring · optional · choices: All, Foreground, Background
sharpennumber · optional · min 0 · max 1
modelstring · optional · choices: Standard V2, High Fidelity V3, High Fidelity V2, Low Resolution V2, CGI, Text Refine

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