Text & Shapes
Clean upscaling for graphics and typography
Model Overview
Text & Shapes is designed for images dominated by typography, logos, UI elements, and geometric shapes. It prioritizes edge clarity and shape accuracy during upscaling.
Key Capabilities
Preserves sharp edges and geometric structure
Ideal for logos, UI, and graphic design assets
Maintains legibility during enlargement
Model Pricing
Output MP
Credits
Getting Started
Endpoint
https://api.topazlabs.com/image/v1/enhance/async
model—"Text Refine"
Endpoint-Specific Parameters
face_enhancement— booleanLeverages our face recovery model to enhance faces.
face_enhancement_strength— decimal between 0 and 1 (required ifface_enhancement=true)Sets the strength of the face recovery.
face_enhancement_creativity— decimal between 0 and 1 (required ifface_enhancement=true)Choose realistic or creative face recovery.
subject_detection—"foreground","background", or"all"Choose where enhancements are applied.
sharpen— decimal between 0 and 1Slightly sharpens the image.
denoise— decimal between 0 and 1Reduces noise in the image.
fix_compression— decimal between 0 and 1Reduces compression artifacts to improve details.
strength— decimal between 0.01 and 1Controls model strength. Too high of a result can make results look unrealistic.
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
denoise_strength— decimal between 0 and 1, default 0.5Adjusts the strength of the denoise.
deblur_strength— decimal between 0 and 1, default 0.5Adjusts the strength of the deblur.
decompression_strength— decimal between 0 and 1, default 0.5Adjusts the strength of the decompression.
opacity— decimal between 0 and 1, default 1.0Adjust strength of opacity.
Resolution Limits
input— 512 MPoutput— 1024 MP
Examples

Click to view
Last updated
