# Wonder ### Model Overview **Wonder** is a generative image enhancement model designed to repair and improve small to medium-sized low-resolution images in a single step. It intelligently reconstructs missing detail while prioritizing realism and avoiding unnecessary changes to objects, textures, or overall image structure. Wonder excels at restoring soft, noisy, or compressed images, producing clean, realistic results with minimal artifacts. It is best used when images require strong cleanup and realism-focused enhancement rather than fine-grained manual control. ### Key Capabilities * One-click generative enhancement for low- and medium-quality images * Delivers clean, realistic results without artifact buildup * Designed for single-step image repair when realism matters more than manual control ### Model Pricing
TextNumber
Output MP148162432405064100
Credits11246810131625
### Getting Started **Endpoint** * * `model` — `"Wonder"`
Endpoint-Specific Parameters * `face_enhancement` — boolean * Leverages our face recovery model to enhance faces. * `face_enhancement_strength` — decimal between 0 and 1 *(required if `face_enhancement=true`)* * Sets the strength of the face recovery. * `face_enhancement_creativity` — decimal between 0 and 1 *(required if `face_enhancement=true`)* * Choose realistic or creative face recovery. * `subject_detection` — `"foreground"`, `"background"`, or `"all"` * Choose where enhancements are applied. * `prompt` — string, default `""`; max 1024 char * A description of the resulting image you are looking for. **The model responds more to a descriptive statement versus a directive one**. For example, use the phrase "girl with red hair and blue eyes" instead of "change the girl's hair to red and make her eyes blue" * `autoprompt` — boolean *(if enabled, ignores value given to `prompt`)* * Whether you want to use our state-of-the-art auto-prompting model to auto-generate a prompt for you. * `creativity` — integer between 1 and 9, default 3 * Lower creativity values maintain the highest fidelity to the original image. Higher values take more liberties and provide more creative results for specific details. * `texture` — integer between 1 and 5 *(recommend 1 at low creativity, 3 at higher creativity)* * Add texture to the image. Recommend setting texture to 1 for at a low creativity level, and 3 for more creative results at a higher creativity level. * `sharpen` — decimal between 0 and 1 * Slightly sharpens the image. * `denoise` — decimal between 0 and 1 * Reduces noise in the image. * `detail` — boolean, default `false` * Adjusts the level of added detail after rendering. * `detail_strength` — decimal between 0 and 10 *(required if `detail=true`)* * Sets the strength of the detail. 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** * No parameters **Resolution Limits** * `input` — 128 MP * `output` — 128 MP ### Examples
Cover image
Click to viewWonder_(Ex_1)_slider.jpghttps://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpexels-bitnik-31047866-before.jpg&src1label=Before&src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpexels-bitnik-31047866-cloud-wonder-6x-after.jpg&src2label=After&zoom=1
Click to viewWonder_(Ex_2)_slider.jpghttps://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpexels-mahmoud-elbakstani-2151329526-31629949-before.jpg&src1label=Before&src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpexels-mahmoud-elbakstani-2151329526-31629949-cloud-after.jpg&src2label=After&zoom=1