Ideogram V3 Remix
Ideogram V3 Remix is an AI-powered image editing tool that lets you transform and create variations of existing images while preserving the elements that matter most.
Ideogram Text-accurate image remixing with style control
Ideogram V3 Remix is an image editing model developed by Ideogram, a company founded by former Google Brain researchers. It extends the base Ideogram V3 image generation model with a remixing system that allows users to transform existing images using text prompts, with a 0–100 strength slider that controls how much the output deviates from the source image. Users can supply their own images or work with images previously generated in Ideogram, and the model will automatically generate a descriptive prompt when an external image is uploaded.
The model accepts up to three style reference images to guide color palette, texture, and mood, and supports reusable Style Codes for maintaining brand consistency across outputs. Ideogram is particularly noted for its ability to render legible, correctly spelled text within generated images, making it well-suited for posters, packaging, logos, and marketing materials. It is designed for designers, marketers, and creative professionals who need to iterate on visual concepts without rebuilding them from scratch.
What Ideogram V3 Remix supports
Strength Slider Control
A 0–100 numeric scale determines how much the AI transforms the source image — higher values preserve the original more closely, lower values allow greater creative deviation.
Image Input & Upload
Accepts an existing image via URL as the remix source; when an external image is uploaded, the model automatically generates a descriptive text prompt to initialize the editing session.
Text Prompt Editing
Accepts a natural language text prompt to guide how the source image is transformed, supporting up to 10,000 characters of prompt input.
In-Image Text Rendering
Generates readable, correctly spelled text embedded within images, making it suitable for posters, logos, packaging, and marketing materials.
Style Reference Inputs
Accepts up to three reference images to guide the color palette, textures, and overall visual mood of the remix, with support for reusable Style Codes.
Reproducible Outputs via Seed
Accepts a seed value as input so that identical prompts and settings produce consistent, reproducible image outputs across runs.
Configurable Generation Options
Exposes multiple select-type parameters — such as aspect ratio, style type, and rendering quality — giving users structured control over output format and appearance.
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Get Started FreeCommon questions about Ideogram V3 Remix
What is the context window for Ideogram V3 Remix?
The model supports a context window of 10,000 characters, which applies to the text prompt input used to guide the image remix.
Does Ideogram V3 Remix have a training data cutoff date?
No training date is specified in the available metadata for this model.
What types of inputs does Ideogram V3 Remix accept?
The model accepts an image URL as the source, a text prompt, a numeric strength value (0–100), a seed for reproducibility, and multiple select-type parameters for options such as aspect ratio, style type, and quality.
Can I use my own photos with Ideogram V3 Remix, or only images generated in Ideogram?
You can use both. The model accepts externally uploaded images via URL in addition to images previously created within Ideogram. When an external image is provided, the model automatically generates a starting prompt based on the image content.
How do style references work in Ideogram V3 Remix?
You can upload up to three reference images to influence the color palette, textures, and mood of the remixed output. Style Codes can be saved and reused to maintain visual consistency across multiple generations.
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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