Ideogram V1 Remix
Ideogram V1 Remix is an image generation model from Ideogram that transforms existing images using text prompts and adjustable influence weights.
IdeogramImage remixing with style and prompt control
Ideogram V1 Remix is an image generation model developed by Ideogram, designed specifically for remixing existing images rather than generating from scratch. It accepts an input image alongside a text prompt and an image weight parameter, allowing users to control how closely the output adheres to the source image versus the textual description. The model also supports negative prompts, aspect ratio selection, and a seed input for reproducible results.
The Remix variant is best suited for workflows where a reference image needs to be restyled, recomposed, or iterated upon while preserving recognizable elements from the original. Its Magic Prompt option can expand or refine user-provided prompts automatically, and a Turbo mode is available for faster generation. These controls make it a practical tool for creative iteration, concept exploration, and image-to-image transformation tasks.
What Ideogram V1 Remix supports
Image-to-Image Remixing
Takes an input image URL and blends it with a text prompt to produce a new image. An adjustable weight parameter controls how much influence the source image has on the output.
Negative Prompt Support
Accepts a negative prompt as a text input to explicitly exclude unwanted elements or styles from the generated image.
Magic Prompt Enhancement
An optional mode that automatically expands or refines the user's text prompt to improve generation quality and detail.
Aspect Ratio Control
Allows selection of output aspect ratios via a dropdown input, giving control over the dimensions of the generated image.
Turbo Mode
A selectable model variant that prioritizes faster image generation, useful for rapid iteration and prototyping.
Reproducible Outputs via Seed
Supports a seed input so that identical prompts and settings produce consistent, reproducible image results across runs.
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Get Started FreeCommon questions about Ideogram V1 Remix
What makes Ideogram V1 Remix different from a standard text-to-image model?
Ideogram V1 Remix is specifically designed for image-to-image workflows. It takes an existing image as input alongside a text prompt and uses an image weight parameter to blend the two, rather than generating an image purely from text.
How does the image weight parameter work?
The image weight is a numeric input that controls how strongly the source image influences the output. A higher weight keeps the result closer to the original image, while a lower weight gives more influence to the text prompt.
What is the context window for this model?
Ideogram V1 Remix has a context window of 10,000 tokens, which applies to the text prompt inputs it processes.
Is pricing information available for Ideogram V1 Remix?
Published pricing details are not included in the available metadata. You should check Ideogram's official website or MindStudio's pricing documentation for current cost information.
Can I get consistent results across multiple runs?
Yes. The model supports a seed input, which allows you to reproduce the same output when using identical prompts, image inputs, and settings.
What is the knowledge cutoff or release date for this model?
Ideogram V1 Remix was released in 2023. As an image generation model, it does not have a knowledge cutoff in the same way language models do.
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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