Meldport
← Back to Image models
luma · Image

UNI-1

Image model · Available upstream

Balanced unified image model for creation, precision editing, and multi-reference control

API documentationView pricing

Generation is available through the published Meldport configurations below. Review the exact quote before submitting.

Model ID
luma-uni-1
Released
May 5, 2026
Billing unit
Generated output

Meldport generation prices

UNI-1

API configuration IDf169c2e4-6511-4772-83b0-e518b48e9955

text to image

Generation$0.04848/ generation

2K · 1 output

API request and parameters

Use images:generate on your API key. This configuration runs text to image and returns image/jpeg.

This configuration does not require an uploaded image. Choose a different configuration ID to change the workflow or output settings. Send only options listed below.

These output settings are included in this configuration. Select another configuration ID to change them. Do not add them to options.

generation_parametersJSON
{
  "width": 2048,
  "height": 2048
}

This configuration has no additional request options.

Replace the prompt and set a unique MELDPORT_IDEMPOTENCY_KEY for this operation. The example quotes the request and then creates one paid job. Read the billing rules before accepting variable charges.

generate.mjsJavaScript
const api = "https://api.meldport.com";
const key = process.env.MELDPORT_API_KEY;
const idempotencyKey = process.env.MELDPORT_IDEMPOTENCY_KEY;
if (!key || !idempotencyKey) throw new Error("Set your API key and a unique operation ID first.");

async function post(path, body) {
  const response = await fetch(api + path, {method: "POST",
    headers: {Authorization: `Bearer ${key}`, "Content-Type": "application/json"},
    body: JSON.stringify(body)});
  const result = await response.json();
  if (!response.ok) throw new Error(JSON.stringify(result.error));
  return result;
}

const request = {
  "configuration_id": "f169c2e4-6511-4772-83b0-e518b48e9955",
  "prompt": "Replace with your prompt or speech script.",
  "options": {},
  "input_asset_ids": []
};
const {data: quote} = await post("/v1/media/quotes", request);
console.log("Quote:", quote);
const result = await post("/v1/media/jobs", {
  ...request, idempotency_key: idempotencyKey,
  accepted_customer_price_microusd: quote.customer_price_microusd,
  accepted_maximum_reservation_microusd: quote.maximum_reservation_microusd,
  ...(quote.billing_policy_version === "actual-cost-v1"
    ? {billing_policy_version: "actual-cost-v1"} : {}),
});
console.log(result.job);
// Poll GET /v1/media/jobs/<job.id> with the same API key.
// Keep this operation ID for retries. A new ID requests another generation.

Poll the returned job ID. Download only after state is succeeded and billing_state is settled. Polling and download example.

UNI-1

API configuration ID96f3a735-827a-4d5f-a35f-31179dbb5a66

text to image

Generation$0.04848/ generation

2K · 1 output

API request and parameters

Use images:generate on your API key. This configuration runs text to image and returns image/jpeg.

This configuration does not require an uploaded image. Choose a different configuration ID to change the workflow or output settings. Send only options listed below.

This configuration has no additional request options.

Replace the prompt and set a unique MELDPORT_IDEMPOTENCY_KEY for this operation. The example quotes the request and then creates one paid job. Read the billing rules before accepting variable charges.

generate.mjsJavaScript
const api = "https://api.meldport.com";
const key = process.env.MELDPORT_API_KEY;
const idempotencyKey = process.env.MELDPORT_IDEMPOTENCY_KEY;
if (!key || !idempotencyKey) throw new Error("Set your API key and a unique operation ID first.");

async function post(path, body) {
  const response = await fetch(api + path, {method: "POST",
    headers: {Authorization: `Bearer ${key}`, "Content-Type": "application/json"},
    body: JSON.stringify(body)});
  const result = await response.json();
  if (!response.ok) throw new Error(JSON.stringify(result.error));
  return result;
}

const request = {
  "configuration_id": "96f3a735-827a-4d5f-a35f-31179dbb5a66",
  "prompt": "Replace with your prompt or speech script.",
  "options": {},
  "input_asset_ids": []
};
const {data: quote} = await post("/v1/media/quotes", request);
console.log("Quote:", quote);
const result = await post("/v1/media/jobs", {
  ...request, idempotency_key: idempotencyKey,
  accepted_customer_price_microusd: quote.customer_price_microusd,
  accepted_maximum_reservation_microusd: quote.maximum_reservation_microusd,
  ...(quote.billing_policy_version === "actual-cost-v1"
    ? {billing_policy_version: "actual-cost-v1"} : {}),
});
console.log(result.job);
// Poll GET /v1/media/jobs/<job.id> with the same API key.
// Keep this operation ID for retries. A new ID requests another generation.

Poll the returned job ID. Download only after state is succeeded and billing_state is settled. Polling and download example.

About this model

UNI-1 is a unified image model in Luma's UNI-1 family for both image creation and precision image editing. It combines text prompting, source-image modification, multi-reference guidance, seed-based reproducibility, and reasoning-informed visual generation in one system, with strong control over composition, identity, style, and visual plausibility.

  • text to image
  • image to image
  • checkpoint