Image Generation Model

Ideogram Upscale

Ideogram Upscale is an image generation model from Ideogram that enhances image resolution with adjustable detail and resemblance controls.

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Publisher

Ideogram

TypeImage

Context Window10,000 tokens

ReleasedJune 2024

Price$0.06/image

SOURCE IMAGEMULTI-MODAL

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About Ideogram Upscale

AI-powered image upscaling with detail control

Ideogram Upscale is an image upscaling model developed by Ideogram, released in June 2024. It takes an existing image as input and produces a higher-resolution version, with user-controlled parameters for how closely the output resembles the original and how much fine detail is added or enhanced. The model accepts inputs including an image URL, numeric resemblance and detail values, a Magic Prompt option, and a seed for reproducibility.

Ideogram Upscale is designed for workflows where image quality needs to be improved after initial generation or when working with lower-resolution source images. The resemblance parameter lets users balance fidelity to the original against creative enhancement, while the detail parameter controls the level of texture and sharpness introduced during upscaling. It is well-suited for post-processing pipelines, print preparation, and any use case requiring larger or crisper image output from an existing file.

Capabilities

What Ideogram Upscale supports

Image Upscaling

Increases the resolution of a source image supplied via URL, producing a higher-quality output from an existing file.

Resemblance Control

A numeric parameter that adjusts how closely the upscaled output matches the original source image, allowing a trade-off between fidelity and enhancement.

Detail Enhancement

A numeric parameter that controls the level of texture and sharpness added during upscaling, letting users dial in fine detail independently of resemblance.

Magic Prompt

A selectable option that can apply Ideogram's prompt-enhancement logic to influence how the upscaler interprets and refines image content.

Seed Reproducibility

Accepts a seed value so that upscaling results can be reproduced exactly across multiple runs with the same inputs.

Multimodal Input

Accepts image URLs as a primary input type alongside numeric and selection parameters, supporting image-in, image-out workflows.

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FAQ

Common questions about Ideogram Upscale

What kind of input does Ideogram Upscale require?

The model requires an image URL as its primary input. Optionally, you can provide numeric values for resemblance and detail, select a Magic Prompt option, and supply a seed for reproducible results.

What do the resemblance and detail parameters do?

Resemblance controls how closely the upscaled image matches the original source, while detail controls the amount of texture and sharpness introduced. Both are numeric inputs you set before running the model.

What is the context window for Ideogram Upscale?

The model has a context window of 10,000 tokens as listed in the metadata, though for an image upscaling model this primarily governs associated prompt or configuration data rather than text generation.

What is the pricing for Ideogram Upscale?

Pricing information is not published in the available metadata. You can check MindStudio or Ideogram's official channels for current pricing details.

Does Ideogram Upscale have a knowledge cutoff date?

Ideogram Upscale is an image upscaling model rather than a language model, so a knowledge cutoff date is not applicable. The model was released in June 2024 and added to MindStudio in September 2024.

Can I use a seed to get consistent upscaling results?

Yes. The model accepts a seed input, which allows you to reproduce the same upscaling output when all other inputs remain identical.

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