GPT Image 2 AI Image Generator
GPT Image 2 renders a picture from a prompt, or edits one you already have when you describe the change. Output runs 1K to 4K, priced per image, with the credit cost shown before you commit.
Three output sizes, each with its own credit cost.
Start from a prompt, or supply an image and describe the change you want.
The estimate updates before you generate, and a failed run is never charged.
GPT Image 2 AI Image Generator
Examples made on Kavel with this model.
What is GPT Image 2?
GPT Image 2 is OpenAI's image model. It renders a picture from a written prompt, and it also edits an image you supply when you describe the change rather than mask it by hand.
On Kavel it runs through the Poyo runtime at the low-quality tier, which on that provider is roughly a third of what the same model costs elsewhere on our shelf. The credit estimate is computed from the tier the request actually asks for, so the number shown before you generate is the number the run costs.
Creative engine
How a run is billed
Per image, by output size. Pick the size in the generator and the estimate follows it.
Three output sizes
1K, 2K and 4K are separate rates chosen before the run. A 4K render costs about four times a 1K one, so size is worth deciding after the picture is right.
Editing by description
Supply an image and say what should change. There is no mask to draw and no layer to manage — the instruction is the interface.
Cheap enough to iterate
At the 1K tier a single image is a few credits, which makes trying four phrasings of the same idea an ordinary thing to do rather than a budget decision.
Editing has a boundary
Describing a change works well when the change is about content — a colour, an object, a background. It is the wrong tool when you need a precise region left untouched to the pixel, because nothing here draws a mask for you.
For a different house style, Nano Banana 2 and Nano Banana Pro sit alongside it, and Seedream 5.0 Lite is the flat-rate option.
Images made on Kavel
Generated on this site. Every output is AI-generated, so the same prompt returns a different picture each run — read these as the range rather than as a template.
Prompt detail carries
When this is the right pick
Three situations where it earns the slot over the other image models here.
You want to edit by talking
Describing a change beats drawing a mask when the edit is about content rather than a precise region.
You are iterating on wording
At a few credits per 1K image, testing several phrasings costs less than deliberating over one.
You need a large final render
The 4K tier is available on the same model, so the last step does not mean switching tools.
Features
What the model accepts and returns, from this site's runtime configuration.
Text-to-image
Describe the subject, the framing and the light, and the model renders it.
Image editing
Supply a source image and describe the change; no mask, no layers.
Three output sizes
1K, 2K and 4K, picked before the run rather than upscaled after it.
Estimate before you commit
The credit cost shown reflects the exact size you selected.
Failed runs are free
A generation that does not complete is not charged.
Specifications
From the provider price table and this site's runtime config. Anything absent is absent because we could not source it.
- Provider runtime
- Poyo
- Quality tier
- Low (the tier this site requests)
- Output sizes
- 1K, 2K, 4K
- Input modes
- Text-to-image, image-to-image
- Billing
- Per image, by size
- Higher quality tiers
- Exist on the provider; not wired here
- Maximum reference images
- Not documented
Generating with it
Three steps, and the last one is the only place cost is decided.
Pick generate or edit
Text-to-image invents a picture; image-to-image changes one you already have.
Write the specifics
Name the subject, the framing and the light. Vague prompts return the most photographed version of the idea.
Choose the size last
Settle the picture at 1K, then re-run the keeper at a larger size if it needs one.
What people make with it
Four jobs that suit an instruction-led image model.
Product mockups
Render a concept before anything is photographed, then edit details by describing them.
Blog and social art
A few credits per image makes illustrating a post cheaper than licensing a stock photo.
Fixing one thing in a photo
Change a colour, remove a distraction, adjust a background — by saying so.
Trying several directions
Cheap 1K passes make it reasonable to test four ideas instead of defending the first.
Iterating on a brief
When a client cannot say what they want until they see it, cheap passes are worth more than one carefully argued render.
Kavel Pricing — Credits for AI Image and Video Generation
Kavel pricing — pay only for what you generate
One credit pool covers Nano Banana images and Seedance and Veo video. The cost shows before every run, and failed jobs are not charged. Use a subscription for ongoing work, or a one-time pack when you just need to top up.
Starter
What's included
- 33,500 credits per year
- Works with Nano Banana images and Seedance and Veo video
- Cost preview before you generate
- Generation history
Secure checkout by Stripe. Card details never touch our servers.
Creator
What's included
- 89,700 credits per year
- Access to Seedance 2.0, Fast, and Mini
- Nano Banana 2 generation and editing
- Priority credit top-ups
Secure checkout by Stripe. Card details never touch our servers.
Studio
What's included
- 166,800 credits per year
- Built for high-volume Kavel generation
- Plenty of room for 4K rendering
- Available across the supported models
Secure checkout by Stripe. Card details never touch our servers.
Credit packs
One-time top-ups — buy extra credits any time you run low.
Credit Pack 1500
What's included
- 1,500 credits
- No ongoing subscription
- Available across the supported models
Secure checkout by Stripe. Card details never touch our servers.
Credit Pack 3600
What's included
- 3,600 credits
- No ongoing subscription
- Available across the supported models
- Use for both video and image generation
Secure checkout by Stripe. Card details never touch our servers.
Credit Pack 9000
What's included
- 9,000 credits
- No ongoing subscription
- Handy for Seedance 2.0 final renders
- Valid for 365 days
Secure checkout by Stripe. Card details never touch our servers.
Powered by
One credit balance for every Kavel image and video model
Use one balance across the supported image and video models (Nano Banana 2 / Nano Banana Pro / Seedance 2 / Veo 3.1), and check the credit cost before each request.
Video models
Image models
Model credit guide
What each model costs in credits
You're only charged for successful generations. The exact estimate in the generator varies by model, length, resolution, audio, and number of images.
| Type | Model | Credit cost |
|---|---|---|
| Video | Seedance 2.0 | 5s 720p image-to-video ≈ 188 credits; text-to-video ≈ 308 credits. Scales with resolution and length. |
| Video | Seedance 2 Fast | Faster and lower cost. 5s 720p text-to-video ≈ 248 credits. Mini is cheaper still. |
| Video | Veo 3.1 | Billed per video (Lite). About 34 credits at 1080p, about 23 at 720p. |
| Image | Nano Banana 2 | Generate or edit from text and images. About 8 credits per 1K image, 12 at 2K, 18 at 4K. |
| Image | Nano Banana Pro | Consistent run times across generations. About 12 credits per 1K or 2K image, 21 at 4K. |
| Image | Nano Banana 2 Lite | Faster, simpler variant. About 8 credits per image. Start here to test. |
Questions about this model
What it costs, what it accepts, and where it stops.
It bills per image by size: roughly 3 credits at 1K, 6 at 2K and 12 at 4K on this site. The estimate for the size you picked appears before you generate, and a failed run is never charged.
The provider's low tier, which is about a third of the price of the same model elsewhere on our shelf. Higher tiers exist at the provider and are not wired here — if that changes, the rate table has to change with it, or we would bill the cheap tier for the expensive one.
Yes. Switch to the image-to-image tab, supply the source and describe the change. There is no mask to draw; the instruction does that work, which is better for content changes and worse for surgically precise regions.
Usually not. Size does not change composition, only detail, so settling the picture at 1K and re-running the keeper larger costs less than deciding at full size.
They are different house styles rather than better and worse. Nano Banana 2 and Pro sit alongside it in the picker at their own rates, and the honest way to choose is one cheap run of the same prompt through each.
Commercial rights follow your Kavel plan rather than this model, so the pricing page is where to check what your tier includes.
Try it
Write a prompt or upload an image, pick a size, and the estimate appears before you generate.
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