Multiple image model families
Route requests to Nano Banana, Gemini image variants, GPT Image models, and future models without rebuilding account and billing code.
Image Generation API
Image Generation API for production AI products
Use Pixapi to generate images with Nano Banana, Gemini image models, GPT Image models, and other visual models through one authenticated REST API, one credit system, and one developer workflow.
Text-to-imageImage URLs in responseCredit-based billing
Text-to-image request
Pass the model id and prompt; Pixapi handles routing and usage tracking.
curl https://api.pixapi.ai/v1/images/generations \
-H "Authorization: Bearer $PIXAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-pro-image-preview",
"prompt": "A cinematic product photo",
"n": 1,
"size": "1024x1024"
}'Direct answer: what Pixapi exposes for image generation
Pixapi image generation uses POST /v1/images/generations for synchronous text-to-image requests and POST /v1/async/images/generations for task-based image requests.
The request uses Bearer authentication, a model field such as gemini-3-pro-image-preview or nano-banana, a prompt, and optional n, size, quality, and response_format fields.
Successful URL responses return generated assets in response.data[0].url, so server code can store the URL with the user, request id, model id, and credit record.
What a production image API needs
Competitor pages usually highlight raw model access. Pixapi adds the operational layer teams need after the prototype works.
Stable REST contract
Keep prompt, model, output count, aspect ratio, and response handling consistent across supported image providers.
Usage records and credits
Track generation spend, failed requests, and account balances in one Pixapi dashboard instead of multiple vendor consoles.
Server-side key management
Create, rotate, and revoke API keys while keeping visual generation calls behind your backend.
Documentation for agents
Docs, llms.txt, and model pages make it easier for coding agents to generate correct integration code.
Category and model pages
Use category guidance for architecture choices, then drill into model pages for parameters, pricing hints, and examples.
Image generation model choices
| Need | Recommended Pixapi route | Why it fits |
|---|---|---|
| Fast prompt-to-image output | Gemini 2.5 Flash Image or Nano Banana | Lower-latency workflows and cost-efficient previews. |
| Higher-quality campaign assets | Gemini 3 Pro Image Preview or GPT Image 2 | Better composition control and commercial output quality. |
| Model comparison | /model catalog plus /v1/images/generations | Change only the model id while keeping request handling stable. |
| Backend product integration | Bearer-authenticated REST API | Keeps keys secret and lets your product add user-level controls. |
How to choose an image generation API for production
A production image generation API is not only a prompt box. The image generation API you choose should protect keys, normalize model behavior, explain billing, and keep your product workflow stable as models change.
Pixapi positions the image generation API as the application layer between your product and fast-moving visual models. When a team evaluates an image generation API, it usually cares about output quality first, then discovers that authentication, retries, moderation, usage records, and credit visibility matter just as much. A stable image generation API gives the product team a predictable contract while still letting designers and engineers compare Nano Banana, Gemini image models, GPT Image models, and future image routes.
The best image generation API for a SaaS product should let backend code keep one request pattern. With Pixapi, the image generation API accepts a model id, prompt, output count, and size controls, then returns image assets in a shape your application can store. That means the image generation API can support prototypes, internal batch jobs, and user-facing creative tools without making each feature learn a different provider console. The image generation API becomes part of your product infrastructure rather than a one-off integration.
Cost clarity is another reason to choose a focused image generation API. A direct provider integration may look simple until teams need to explain spend per user, per feature, or per campaign. Pixapi makes the image generation API credit-based, so product owners can model usage before launch and monitor successful outputs after launch. When an image generation API exposes model-specific credit rules, engineering and finance can agree on limits before traffic grows.
A useful image generation API also needs model discovery. Pixapi connects the image generation API page to the model catalog, pricing page, and model detail pages so a visitor can move from category intent to a specific model choice. Someone searching for an image generation API may start with a broad need, then compare Gemini 3 Pro Image Preview, GPT Image 2, and Nano Banana aliases. Internal links help that image generation API visitor reach the right technical page faster.
For implementation, keep the image generation API behind your own backend. Store the Pixapi key in server-side configuration, validate user prompts, call the image generation API from a trusted route, and save the request id or returned image URL with your own user record. This pattern lets the image generation API serve many product surfaces while your application still owns permissions, moderation policy, retention policy, and customer-facing limits.
Choose an image generation API when your product needs repeatable image workflows rather than occasional experiments. Pixapi keeps the image generation API compact enough for the first request and structured enough for production traffic. The result is an image generation API that can support campaign images, product mockups, generated thumbnails, personalization features, and model comparison without forcing your team to rebuild the surrounding platform every time a new image model appears.
Image Generation API FAQ
What is an image generation API?
It is a server-side API that accepts a prompt and model id, then returns generated image URLs or task results that your application can store and display.
Which image models does Pixapi expose?
Pixapi exposes curated image models including Nano Banana, Gemini image models, and GPT Image variants. The live model catalog is the source of truth.
Do I need separate provider accounts?
No. Pixapi provides one account, one API key, and one credit ledger for supported model routes.
Can I use it in user-facing SaaS products?
Yes. Keep Pixapi calls on your backend, map your users to your own rate limits, and track generated assets by request id.
Add image generation to your product
Create a key, choose a model id, and send your first text-to-image request through Pixapi in minutes.
Create API key