Uni-1

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uni-1

Luma AI|Created Oct 30, 2026

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Uni-1 is a multimodal reasoning model that can generate pixels. Built on Unified Intelligence, Uni-1 understands intention, responds to direction, and thinks with you. It handles text-to-image and image-to-image, with support for text rendering, spatial reasoning, multi-panel output, and style transfer.

Overview Specifications Activity Performance Uptime Examples API Reference

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Endpoints and request shape

This page collects the public integration surface for the model: supported endpoints, available request parameters, and example calls through the NagaAI API.

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Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")

resp = client.images.edit(
    model="uni-1",
    image=open("image.png", "rb"),
    prompt="A cute baby sea otter wearing a beret",
    n=1,
    size="1024x1024",
    response_format="url"
)
print(resp.data)

Supported Parameters

Available parameters for API requests

Size