How do image credits work?
Image credits are used by the AI Image Editor — virtual staging, twilight conversion, object removal, inpainting, find-and-replace, and other AI-powered edits.
How a credit charge breaks down
- 1 credit to generate an AI edit
- 2 credits to accept and keep the result
- 3 credits total for a kept edit
- Rejecting only costs the 1 credit you used to generate it — so you can try multiple variations and only pay full price for the one you keep
Resolution affects cost
- 1K (HD) and 2K (FHD) cost the same — 1 credit to generate, 2 to accept
- 4K (UHD) costs 2× — 2 credits to generate, 4 to accept
Free actions (no credits used)
- Color adjustments
- Rotating images
- Cropping
Why credits work this way
Our goal is fairness — to you, and to us. Every AI generation costs us, whether you keep the result or not. The credit model has to balance two things:
- Get something useful out of each generation. Aligning incentives this way keeps generations from going to waste.
- Pay less when the AI misses. A result the AI didn't quite nail shouldn't cost the same as one you keep.
The 1-credit-to-generate / 2-credit-to-accept structure does both. A kept edit costs 3 credits; a rejected one costs only 1. So you can iterate freely on a tricky shot without burning through your monthly allowance.
Most agents find this model a little stressful at first — and then realize they almost never run out of credits. The ones who do are running serious virtual-staging volume across many listings, and at that point the per-image math compares very favourably to a dedicated staging service charging $20–40 per image.
Curious what's possible? Browse virtual staging features and examples →
Your monthly image credit allowance depends on your plan. See the pricing page for the included amount per tier, or grab top-ups any time.