Sharpen Generative is a cutting-edge AI model designed to produce the highest quality and most creative sharpened images. It enhances details and clarity beyond traditional sharpening, delivering visually striking results ideal for creative use cases. This advanced generative approach trades off processing speed and exact fidelity to the original image to maximize artistic enhancement and visual impact.
vs Sharpen: Topaz Sharpen Generative delivers more creative and visually impactful sharpening effects, trading off speed and extreme fidelity to the original image. In contrast, Topaz Sharpen AI focuses on precise sharpening and selective detail enhancement with faster processing but less artistic flexibility.
vs Luminar Neo Supersharp: Sharpen Generative provides stronger artistic control and subject-specific enhancements, making it ideal for creative photographers. Luminar Neo Supersharp balances speed and automated processing, better suited for users seeking quick, polished results with less manual adjustment.
vs Gigapixel AI: Sharpen Generative focuses on sharpening and detail creation, while Gigapixel AI specializes in upscaling images without adding sharpening or noise reduction. Sharpen Generative is more creative in texture enhancement, whereas Gigapixel AI improves resolution size.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Sharpen Generative is documented as suited for recovering missing details during refocusing and resharpening, especially on strongly blurred images. It is also described as appropriate for improving clarity and sharpness in images that are soft or slightly out of focus. The model is further presented as useful for reducing blur and improving detail in images affected by camera shake, motion blur, or lens softness.
import requests r = requests.post( "https://api.aimlapi.com/v1/images/generations", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "topaz-labs/sharpen-gen", "prompt": "A cat holding a sign that says hello" }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/images/generations", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "topaz-labs/sharpen-gen", "prompt": "A cat holding a sign that says hello" }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/images/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"topaz-labs/sharpen-gen","prompt":"A cat holding a sign that says hello"}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
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| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Sharpen-Generative This page | Image generation at scale | |||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale |
Sharpen-Generative takes image, text as input and returns image.
Sharpen-Generative is priced at $0.13 / token.
Sharpen-Generative is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Sharpen-Generative accepts image input as well as a text prompt.
Sharpen-Generative was built by Topaz Labs.
Send a request to https://api.aimlapi.com/v1/images/generations with topaz-labs/sharpen-gen as the model id.
Yes. Sharpen-Generative is served through AI/ML API, so the same key and endpoint format used for other models applies.
It uses AI-driven generative techniques to recover fine detail and sharpness in images, rather than relying on traditional edge-enhancement methods.
