Super Focus 2
A generative model that fixes blur and reconstructs detail in the most stubborn images, providing an alternative solution when traditional sharpening models cannot recover usable results
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A generative model that fixes blur and reconstructs detail in the most stubborn images, providing an alternative solution when traditional sharpening models cannot recover usable results
Super Focus 2 is a generative AI feature that fixes blur and reconstructs detail in the most stubborn images, providing an alternative solution when traditional sharpening models cannot recover usable results.
Recovers detail from severely blurred or out-of-focus images that other sharpening approaches fail to enhance
Uses generative reconstruction to rebuild edges and textures without introducing halos or excessive noise
Best suited for difficult, single-image recovery cases where faster sharpening methods do not deliver acceptable results
Output MP
Credits
Endpoint
https://api.topazlabs.com/image/v1/sharpen-gen/async
model — "Super Focus V2"
denoise_strength — decimal between 0 and 1, default 0.5
Removes noise from the image.
face_enhancement — boolean
Leverages our face recovery model to enhance faces.
face_enhancement_strength — decimal between 0 and 1
Sets the strength of the face recovery.
face_enhancement_creativity — decimal between 0 and 1
Choose realistic or creative face recovery.
subject_detection — "All", "Foreground", or "Background"
Choose where enhancements are applied.
These parameters should be appended as key-value fields in the form-data request bodies (i.e. alongside the model, output_height, and face_enhancement etc. fields). Any parameters not explicitly provided are automatically configured by our auto-parameter model. Extra parameters provided that are not supported are ignored.
Model-Specific Parameters
detail — decimal between 0 and 1
Increases details. Too much sharpening can create an unrealistic result.
focus_boost — decimal between 0.25 and 1
Use on very blurry images! Focus boost corrects images that are missing detail by downscaling your image then upscaling the results back to the original size.
Resolution Limits
input — 256 MP
output — 256 MP
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