Ideogram V3 Remix
Ideogram V3 Remix is an image generation model from Ideogram that transforms existing images using text prompts and style presets.
IdeogramImage remixing with style and prompt control
Ideogram V3 Remix is an image generation model developed by Ideogram and released in March 2025. It is a variant of the Ideogram V3 model designed specifically for remixing existing images — users supply a source image URL alongside a text prompt, and the model generates a new image that blends the visual content of the original with the described changes. The model supports a configurable image weight parameter, allowing users to control how strongly the source image influences the output.
Ideogram V3 Remix includes several inputs that give developers fine-grained control over generation: a negative prompt to exclude unwanted elements, a style preset selector, aspect ratio selection, a seed value for reproducibility, and a Magic Prompt toggle that can expand or refine the input prompt automatically. A rendering speed selector lets users trade off generation time against output quality. These controls make it well suited for creative workflows that require iterating on existing visual assets, such as product image variation, concept art exploration, or style transfer tasks.
What Ideogram V3 Remix supports
Image Remixing
Accepts a source image URL and blends it with a text prompt to produce a new image. An image weight parameter controls how much the original image influences the result.
Style Presets
Offers a selectable style preset input that applies a predefined visual style to the generated output. Useful for maintaining consistent aesthetics across multiple generations.
Magic Prompt
A toggleable feature that automatically expands or refines the user's input prompt before generation. Helps produce more detailed outputs from short or simple descriptions.
Negative Prompting
Accepts a text-based negative prompt to explicitly exclude unwanted visual elements or styles from the generated image.
Reproducible Seeds
Supports a seed input so that identical prompts and settings produce the same image output, enabling reproducible and iterative workflows.
Rendering Speed Control
Provides a selectable rendering speed option that lets users balance generation time against output quality depending on workflow needs.
Aspect Ratio Selection
Allows users to specify the output image aspect ratio via a dropdown selector, supporting common formats for different use cases such as social media or print.
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Get Started FreeCommon questions about Ideogram V3 Remix
What makes Ideogram V3 Remix different from a standard text-to-image model?
Ideogram V3 Remix takes both a source image URL and a text prompt as inputs, then generates a new image that combines elements of both. A numeric image weight parameter lets you control how strongly the original image is preserved versus how much the prompt reshapes it.
What is the context window for Ideogram V3 Remix?
The model has a context window of 10,000 tokens, which applies to the text prompt and associated inputs processed during a generation request.
Is pricing available for Ideogram V3 Remix on MindStudio?
Published pricing for Ideogram V3 Remix is not listed in the current metadata. You should check the MindStudio platform or Ideogram's official channels for current pricing details.
Does Ideogram V3 Remix have a knowledge cutoff date?
Ideogram V3 Remix is an image generation model, not a language model, so a knowledge cutoff date is not applicable. It was released in March 2025.
Can I control the visual style of the generated image?
Yes. The model includes a style preset selector, a negative prompt field to exclude unwanted elements, and a Magic Prompt toggle that can automatically refine your input prompt before generation.
How do I get reproducible results with Ideogram V3 Remix?
The model accepts a seed value as an input. Using the same seed along with identical prompt and settings will produce the same image output, which is useful for iterative or version-controlled workflows.
Documentation & links
Parameters & options
Description of what to exclude from an image.
A specific value that is used to guide the 'randomness' of the generation.
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