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Image by Reve

Reve API

Reve AI's layout-first image model (current generation, Jun 2026), which builds an editable layout between your prompt and the final image, known for precise text placement and native 4K output.

Integrate Reve with a single API call — one key, one unified endpoint, and shared billing across every model on Apiframe.

model: "reve-create"

What's special about Reve

Layout-first generation

Instead of going straight from a sentence to pixels, it builds the image as a structured layout where every element has its own position, size, and description, which you can adjust before and after rendering.

Edit like a design file

You can reposition, resize, or rewrite any single element and re-render, rather than rerolling the whole prompt and losing what already worked.

Native 4K output

It generates genuine 4096x4096 detail, about 16 megapixels, as real generation rather than a lower-resolution image that is upscaled afterward.

Best-in-class typography

It places in-image and environmental text exactly where it belongs, from titles and packaging to street signs, menus, and labels, with a notably less synthetic look.

Multi-reference composition and spatial sense

It carries a character, product, or material across a full set of images and keeps proportion and perspective honest for product shots and interior comps.

A distinct cinematic aesthetic

It is known for a filmic, photojournalistic look, and its core loop is built around create, edit, and remix for high-volume design exploration.

Prompts to try with Reve

Example prompts you can run through the Reve API on Apiframe.

A movie poster reading 'NIGHTFALL' with the title, a release date, and small credits, each placed and readable.

Product packaging for a tea box labeled 'JASMINE GOLD' with ingredients and net weight in the right spots.

A four-panel comic page with ordered panels, gutters, and readable speech balloons.

An event flyer with a headline, schedule, venue, and ticket price, clean hierarchy at 4K.

Carry this character across three scenes, a cafe, a park, and a train, consistent face and outfit.

An interior comp of a modern living room with accurate proportion and perspective for a design brief.

Overview

Endpoint
POST /v2/images/generate
Model ID
reve-create
Params key
reveParams
Modality
Image
Provider
Reve
Avg. completion
~15s

Capabilities

Aspect ratios16:9, 9:16, 3:2, 2:3, 4:3, 3:4, 1:1
Avg. time~15s

Quick start

Send a single POST /v2/images/generate request with your API key to generate with Reve. The call returns a jobId you can poll or receive via webhook.

curl -X POST https://api.apiframe.ai/v2/images/generate \
  -H "X-API-Key: afk_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
        "prompt": "a sleek silver sports car on a coastal highway at sunset, hyper-realistic",
        "model": "reve-create",
        "reveParams": {
            "seed": 1
        }
    }'
import requests

response = requests.post(
    "https://api.apiframe.ai/v2/images/generate",
    headers={
        "X-API-Key": "afk_your_api_key_here",
        "Content-Type": "application/json",
    },
    json={
        "prompt": "a sleek silver sports car on a coastal highway at sunset, hyper-realistic",
        "model": "reve-create",
        "reveParams": {
            "seed": 1
        }
    },
)
print(response.json())  # { "jobId": "...", "status": "QUEUED" }
const response = await fetch("https://api.apiframe.ai/v2/images/generate", {
  method: "POST",
  headers: {
    "X-API-Key": "afk_your_api_key_here",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "prompt": "a sleek silver sports car on a coastal highway at sunset, hyper-realistic",
    "model": "reve-create",
    "reveParams": {
      "seed": 1
    }
  }),
});
const { jobId } = await response.json();
console.log(jobId);

Response & job lifecycle

Generation is asynchronous. A successful submission returns 202 Accepted with a jobId. Poll GET /v2/jobs/{id} (or supply a webhook_url) until the status is COMPLETED; the result field then holds the output URL(s).

1. Submission response (202)

{
  "jobId": "b2c3d4e5-f6a7-8901-bcde-f23456789012",
  "status": "QUEUED"
}

2. Poll for the result

curl https://api.apiframe.ai/v2/jobs/JOB_ID \
  -H "X-API-Key: afk_your_api_key_here"
import requests, time

while True:
    job = requests.get(
        "https://api.apiframe.ai/v2/jobs/JOB_ID",
        headers={"X-API-Key": "afk_your_api_key_here"},
    ).json()
    if job["status"] in ("COMPLETED", "FAILED"):
        break
    time.sleep(2)
print(job["result"])
let job;
do {
  await new Promise((r) => setTimeout(r, 2000));
  job = await fetch("https://api.apiframe.ai/v2/jobs/JOB_ID", {
    headers: { "X-API-Key": "afk_your_api_key_here" },
  }).then((r) => r.json());
} while (job.status !== "COMPLETED" && job.status !== "FAILED");
console.log(job.result);

Input schema

Request parameters accepted by the Reve endpoint. Model-specific options are nested under the params object shown below.

Parameter Type Required Default Allowed / range Description
prompt string required Text description of what to generate.
model string required "reve-create" "reve-create" The model identifier for this endpoint.
reveParams.seed number optional step 1 Reuse a number to reproduce the same result.

Frequently Asked Questions

Common questions about the Reve API.

What is Reve?

Reve AI's image model, whose current generation is the layout-first Reve 2.0, also called Reve Image 2.

What does "layout-first" mean?

It builds an editable layout between your prompt and the final image, so you place and adjust each element instead of re-describing the whole scene.

Can you edit images like a design file?

Yes. You can reposition, resize, or rewrite individual elements and re-render, keeping the approved parts intact.

What resolution does it produce?

Native 4K, at 4096x4096, around 16 megapixels, generated directly rather than upscaled.

What is it best at?

Text-heavy, layout-critical design like posters, packaging, comics, and multi-asset campaigns.

Where can you access it?

Through Apiframe, as well as the Reve app and API.

Still have questions?

Start building with the Reve API

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