API reference · Bria

bria/text-to-image/base

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDbria/text-to-image/base

Input Schema

8 parameters · 1 required · 7 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The prompt you would like to use to generate images. · Min length: 1
`seed`	integer	Optional	The same seed and the same prompt given to the same version of the model will output the same image every time. · Min: 0 · Max: 2147483647
`medium`	string	Optional	Which medium should be included in your generated images. This parameter is optional. · Options: photography, art photographyart
`guidance`	object[]	Optional	Guidance images to use for the generation. Up to 4 guidance methods can be combined during a single inference. · Default: []
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`guidance_scale`	number	Optional	Min: 0 · Max: 20 · Default: 5
`prompt_enhancement`	boolean	Optional	When set to true, enhances the provided prompt by generating additional, more descriptive variations, resulting in more diverse and creative output images. · Default: false
`num_inference_steps`	integer	Optional	Min: 20 · Max: 50 · Default: 30

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "bria/text-to-image/base",
    "prompt": "A lone figure stands on the edge of a serene cliff at sunset, gazing out over a vast, mystical valley. The figure is clad in flowing robes that ripple in the gentle breeze, silhouetted against the golden and lavender hues of the sky. Below, a cascading waterfall pours into a sparkling river winding through a forest of bioluminescent trees. The scene blends the awe of nature with a touch of otherworldly wonder, inviting reflection and imagination.",
    "guidance": [],
    "guidance_scale": 5,
    "prompt_enhancement": false,
    "num_inference_steps": 30
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

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