Seedance 2.5 już dostępne | Wypróbuj w generatorze wideo →

bria/

Bria Expand grows images beyond borders by generating new pixels to fit any aspect ratio; trained on licensed data for commercial use. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Wejście

Bezczynny

$0.04za uruchomienie·~25 / $1

Dalej:

Powiązane modele

README

Bria Expand

Bria Expand extends an image beyond its original borders with intelligent outpainting. Keep the original content intact while the model hallucinates plausible surroundings, matching lighting, perspective, and texture. Built on licensed training data for safe commercial use in banners, thumbnails, hero images, and cinematic wides.

✨ Highlights

  • Context-aware outpainting: expands left/right/top/bottom while preserving subject integrity.
  • Layout control: choose a target aspect ratio (e.g., 16:9, 9:16) to fit ads, covers, or reels.
  • Production-ready pipeline: synchronous result retrieval or async polling; URL or BASE64 output.
  • Compositional consistency: lighting and perspective blend naturally with the original image.

🧩 Parameters (1:1 with the panel)

  • image* (required) Input image (URL or upload). This is preserved; the model generates the new perimeter around it.

  • aspect_ratio* (dropdown, required) Target canvas proportion after expansion (e.g., 16:9, 9:16, 1:1, 4:5, etc.). The model expands to reach this ratio.

🚀 How to Use (panel flow)

  1. Upload/Paste image (required). Start with a clean, reasonably high-res shot.
  2. Select aspect_ratio to match your target placement (e.g., 16:9 for banners, 9:16 for shorts).
  3. Click Run to generate the expanded canvas and download.

Tip: If a side looks too “invented,” try a slightly different ratio (e.g., from 16:9 to 3:2) or crop the original to nudge composition before expanding again.

💰 Pricing

  • Per run: $0.04

🧠 Workflow Tips

  • Plan the frame: choose the final placement (web hero, mobile cover) first, then set aspect_ratio.
  • Edge cleanliness: if seams appear, run a mild feather/refine-edge pass or a quick inpainting touch on the borders.
  • Brand safety: avoid generating around logos/trademarks that must remain untouched—mask and lock them in post if needed.
  • Batch resizing: standardize on a few aspect ratios (e.g., 1:1, 4:5, 16:9, 9:16) to streamline campaigns.
Uwaga:Ta strona korzysta z modeli AI udostępnianych przez podmioty trzecie. Ceny w dokumentacji są orientacyjne i mogą być nieaktualne. Przycisk Generate pokazuje szacunek; obowiązuje ostateczna opłata za zadanie.

Expand API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/expand with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Expand below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "aspect_ratio": "1:1"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bria/expand" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bria/expand";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "aspect_ratio": "1:1"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "aspect_ratio": "1:1"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/bria/expand", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Expand API — Frequently asked questions

What is the Expand API?

Expand is a Bria model for image editing, exposed as a REST API on WaveSpeedAI. Bria Expand grows images beyond borders by generating new pixels to fit any aspect ratio; trained on licensed data for commercial use. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Expand API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-expand.

How much does Expand cost per run?

Expand starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Expand accept?

Key inputs: `image`, `aspect_ratio`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bria/bria-expand.

How long does Expand take to generate?

Median end-to-end generation time on WaveSpeedAI is around 11 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Expand outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Expand | Fast Image Editing API on WaveSpeedAI