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.
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.
Related KrafLayer docs
- [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)
Related KrafLayer tools
- AI product image tools — Browse the full tool list for ecommerce image editing and product visual workflows.
- Listing main and detail images — Generate ecommerce listing main images and detail-page product visuals from product references.
- On-model product photos — Create product-on-model and lifestyle visuals when human context helps the product sell.
- Reference-style product images — Generate ecommerce product images from competitor, brand, or campaign reference styles while preserving your own product identity.
- AI reference image editor — Use extra references to guide product identity, material, style, or composition changes.
- AI scene compose — Place products into controlled commercial scenes without losing product clarity.
- AI background replacer — Move a product into a cleaner studio, lifestyle, or campaign background.