Image-To-Image
Applies your described changes to uploaded images while keeping composition and layout intact — ideal for product and interior shots
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What is Image-To-Image?
Image-to-Image is an AI generator that transforms uploaded images based on text prompts while preserving composition, subject placement, and scene layout. Users describe desired changes and the AI applies them—useful for product photography, architecture exploration, interior design, and creative direction.
Image-To-Image pricing
Pricing model: Freemium
Free tier provides 5 initial credits with watermarked outputs; paid tier enables watermark-free generation. Each image costs 1 credit.
Image-To-Image pros
- Preserves composition and structure from source image while enabling targeted edits via prompt
- Multiple AI models available (GPT Image 2 and Nano Banana options) with different quality and credit trade-offs
- High-resolution export suitable for professional use (product, marketing, social media, concept work)
- Supports diverse use cases including product scenes, architecture, interior redesign, and portrait work
Image-To-Image cons
- Free tier outputs are watermarked; watermark-free access requires paid subscription
- Credit-based system (1 credit per generation) may become expensive for heavy usage
- Maximum file size 24 MB for uploaded images
Frequently asked questions about Image-To-Image
What is image-to-image AI?
Image-to-image AI turns one image into another using your uploaded photo as a visual reference. A prompt directs specific changes—lighting, materials, style, background—while preserving composition, proportions, and subject placement.
What file formats and sizes are supported?
PNG, JPG, and WebP files up to 24 MB are supported for upload.
Which AI models are available?
GPT Image 2 and Nano Banana options are available, each with different trade-offs in detail level, resolution, and credit cost.
How is image-to-image different from text-to-image?
Image-to-image preserves scene composition from an existing image and is best for controlled revisions. Text-to-image generates visuals from words alone without an existing reference image.