Models

Image generation models

By KrafLayer team6 min read2026-04-06

TL;DR

Compare AI image generation and image edit models by input, output controls, and workflow features.

Prompt-only vs. reference-image editing

Image generation models take a text prompt and produce a new image from scratch. Image edit models start from a reference image and apply style, composition, or content changes while keeping the original as a guide.

KrafLayer automatically chooses the supported mode from your inputs: prompt only uses Text-to-Image; adding a reference image switches to Image-to-Image / Image Edit. Remove all reference images to return to text-to-image. You do not need to select these as separate models.

Use the table to compare input requirements, output controls, and workflow features across the active lineup.

How to read the table

  • Input tells you whether the model starts from prompt only or from prompt plus a reference image.
  • Output summarizes the major image controls that matter in the product.
  • Features highlight the extra capabilities that change workflow choice.
  • Use Costs by model and task when you need the current credit cost.
  • [Image editing tools](/docs/editing-tools)
  • [Nano Banana series](/docs/nano-banana-models)
  • [GPT Image 2 series](/docs/gpt-image-2-models)
  • [Costs by model and task](/docs/generation-cost)
  • [Plans and price](/docs/pricing-and-credits)

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