AI Image Editor
Upload a reference image and describe the edit you want, from style changes to scene adjustments and creative variants.
Prompt-driven image editing
AI image editing helps you modify an existing visual while keeping useful context from the source. Use it for product shots, character exploration, social visuals, and design alternatives.
What you can create
Reference-based edits
Use an existing image to guide subject, style, layout, or identity.
Natural language changes
Describe the change instead of masking, layering, or manual retouching.
Variant generation
Create multiple edited directions from one source image.
How to use it
Step 01
Upload the source
Start with a clear image that contains the subject or layout you want to keep.
Step 02
Describe the edit
Explain what should change and what must remain consistent.
Step 03
Choose an edit model
Select a model that supports image-to-image editing and the ratio you need.
Questions creators ask
- Can AI editing preserve identity?
- Reference images help preserve identity and composition, but exact consistency depends on model behavior and edit complexity.
- Can I change only the background?
- Yes. Describe the desired background and state what should stay unchanged.
- Is this useful for creative variations?
- Yes. It is well suited for exploring variants while keeping the original visual direction.
Works with FrameFlowLab generation models
- Nano Banana Pro
- Nano Banana 2
- GPT-Image-2
- GPT Image
Start generating in FrameFlowLab
Open the live workspace, choose the model that fits your task, and keep every result in your creation history.
Edit an image