SuperAPI AI Directory

Image to Image AI

Image to Image AI is a free online image transformation platform that uses text prompts to perform AI editing and style transfer on existing photos. Users upload one or more reference images and describe the desired result in natural language to generate a new version of the image while preserving key details, supporting operations such as changing styles, backgrounds, removing people, restoring old photos, colorizing, and changing product backgrounds. The platform offers a variety of AI models to choose from and supports setting resolution and aspect ratio, with supported models able to output images up to 4K.

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About this tool

Uses

Image to Image AI is a free online platform for transforming photos with AI, enabling fast and easy image editing and style transfer through text prompts. Its core approach is image-to-image transformation based on existing images, rather than text-to-image generation from scratch.

Main Capabilities

  • Upload one or more reference images, describe the desired result, and the platform generates a new version while preserving important details.
  • Edit photos, combine visual references, change styles or backgrounds, and generate output up to 4K with supported models.
  • There are clear limitations regarding 4K output: images with a 1:1 aspect ratio cannot be converted to 4K; images with the aspect ratio set to "auto" or without a specified aspect ratio parameter will only be converted to 1K.
  • The platform showcases multiple before-and-after examples, each with a prompt that can be copied directly as a starting point. Examples include: turning a portrait into anime art, restoring old damaged photos, removing unwanted people, colorizing black-and-white portraits, creating clean product backgrounds, and naturally retouching portraits. The official statement notes that model labels are only recommendations, not claims about how the example works were originally made.
  • Provides control over models, reference images, composition, and output settings, rather than being limited to a single one-click effect.
  • Multiple AI models can be selected, and the officially listed models include GPT-Image 2, Wan 2.7 Image, Nano Banana, Nano Banana 2, Nano Banana Pro, Seedream, and Flux. Each model has a different balance of prompt adherence, detail, consistency, speed, and credit consumption.
  • Supports multiple reference images: multiple images can be used when combining subjects, products, styles, poses, or environments, and the quantity limit for models that support multiple references varies by model.
  • Supports natural language prompt editing: describe in everyday language what to add or remove, the desired style and lighting, and the details the model should preserve.
  • Resolution and aspect ratio can be selected: square, vertical, horizontal, or wide images can be created, and resolution and aspect ratio options adjust according to the selected model, with supported models able to output up to 4K.
  • Important details can be specified for preservation, such as a person's identity, product shape, original camera angle, room layout, etc., while changing the rest of the image.
  • Supports generation, review, and repeated adjustment: the first result can be used as a starting point, adjusting the prompt, switching models, changing output settings, or uploading another reference image to get closer to the target result.

How to Use

The official three-step process is given:

  1. Upload a reference image: upload the photo you want to transform, artworks, sketches, or product images. When the selected model supports it and the edit requires additional visual guidance, more reference images can be added.
  2. Describe the changes and select a model: Write a prompt explaining what should change and what should stay the same, then choose the AI model, aspect ratio, resolution, and number of outputs available for the task.
  3. Generate, review, and download: Generate new images and review the results, download them when they meet the goal, or adjust the prompt and settings to generate other variants.

Use Cases

The official list names six types of creator workflows:

  • E-commerce seller / product image workflow: Place the same product into multiple scenes while keeping its shape, color, and branding unchanged; with multiple reference images and precise prompts, generate studio, lifestyle, and seasonal variants from the original image.
  • Content creator / social content workflow: One high-quality portrait can be used to derive multiple visual directions, testing new clothing, backgrounds, lighting, and editing styles while keeping the person recognizable.
  • Graphic designer / concept development workflow: Upload a rough composition, describe the intended art direction, review the results, and refine instructions one by one until the visual is usable for the next design stage.
  • Photographer / photo restoration workflow: Repair scratches, fading, and clarity in old photos while clearly requiring the model to preserve facial features, period details, and the characteristics of the original image.
  • Marketing team / campaign variant workflow: Adapt a single approved concept into different formats such as square, vertical, and horizontal while keeping the product and message consistent and changing the surrounding scene.
  • Independent creator / style exploration workflow: The first generation does not have to be the final result; switching models, adding reference images, or specifying exactly what must remain unchanged can produce more controllable results than repeatedly using the same broad prompt.

Limitations

Questions such as whether it is free, which image formats are supported, and whether generated images can be used commercially are listed on the official page in the form of a common FAQ, but the provided materials do not include the specific answers to these questions, so they are not available for now. Details such as the maximum number of multiple reference images per model and the credit consumption rules are only described in the materials as varying by model, with no specific values given, so they are not available for now.