# Image to Image

## Summary

Image to Image is an essential tool for creative evolution. It empowers transforming existing visuals, refining details, experimenting with styles, and enhancing narratives with precision. Whether you’re iterating on a concept sketch, reimagining a scene with new aesthetics, or blending multiple ideas into a cohesive composition, **Image to Image** unlocks new dimensions of creativity, enabling continuous exploration and storytelling through visual transformation.

<figure><img src="https://526296967-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FWthH0GpcCHwVdtbvahZS%2Fuploads%2F31YHJa2fX1iUVJcHTomW%2FScreenshot%202025-02-23%20at%208.41.54%E2%80%AFPM.png?alt=media&#x26;token=1b174093-192f-4ee4-97d2-5043a81f117a" alt=""><figcaption></figcaption></figure>

### Image to Image Models

Visit [image-models](https://docs.flora.ai/models/image-models "mention") to see a full list of image to image (i2i) models and their capabilities.

### Parameters

Image models generally accept the following parameters. Check each model for specifics.

| Parameter  | Type                                                                                                                                                                                                                                                | Effect on Output                                                                                                                                                                                                                                                                  |
| ---------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Prompt     | Text                                                                                                                                                                                                                                                | The text prompt is processed through various visual information extraction models (Canny, Depth, Redux), each uniquely interpreting different features of the input image to generate new visuals.                                                                                |
| Style      | Different kinds of stylistic presets (*3D, Anime, Cyberpunk, Extreme Detailer, Game Asset, Logo, Midjourney, Motion Blur, Panorama, Pixar, Pixel, Retrofuturism, Studio Ghibli, Tarot Card, Thermal Image, Vector, Victorian Drawing, Watercolor*). | The style presets modify the rendering phase by influencing color schemes, textures, and artistic techniques, transforming the structural output from ControlNet into diverse visual interpretations.                                                                             |
| Strength   | 0%-100%                                                                                                                                                                                                                                             | The strength parameter alters the amount that the text influences the output image versus the source image. The higher the strength is, the more influence the text has.                                                                                                          |
| Image Size | <p><em>Auto,</em> </p><p><em>Landscape</em> - <em>16:9 (576x1024)</em>, </p><p><em>Portrait - 4:3 (768x1024)</em>, </p><p><em>1:1,</em> </p><p><em>Landscape</em> - <em>4:3 (1024x768)</em>, <em>Portrait</em>  - <em>9:16 (1024x576).</em></p>     | This changes the output size of the node with a couple of options.                                                                                                                                                                                                                |
| Seed       | Seed                                                                                                                                                                                                                                                | The seed is a deterministic number that indexes generations from the model. It's typically randomized, but you can set a seed if there's a particular output you're looking for! Keep in mind that all parameters must be the same in order for a given seed's output to persist. |