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Bria FIBO Edit 1.5 Image Edit edits one to four reference images with natural-language or structured instructions, supporting commercially safe image editing, visual refinements, product visuals, marketing assets, brand-safe content, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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Transform the scene from a futuristic space observatory into an ancient overgrown temple at sunrise. Keep the woman’s identity, facial features, pose, body proportions, and framing unchanged. Replace her spacesuit with an elegant ivory ceremonial robe decorated with subtle gold embroidery. Replace the planet and stars with a misty jungle, stone arches, hanging vines, and warm sunlight streaming through the ruins. Preserve realistic lighting, natural skin texture, cinematic depth, and fine fabric details.

$0.04per run·~25 / $1

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Transform the scene from a futuristic space observatory into an ancient overgrown temple at sunrise. Keep the woman’s identity, facial features, pose, body proportions, and framing unchanged. Replace her spacesuit with an elegant ivory ceremonial robe decorated with subtle gold embroidery. Replace the planet and stars with a misty jungle, stone arches, hanging vines, and warm sunlight streaming through the ruins. Preserve realistic lighting, natural skin texture, cinematic depth, and fine fabric details.

Transform the scene from a futuristic space observatory into an ancient overgrown temple at sunrise. Keep the woman’s identity, facial features, pose, body proportions, and framing unchanged. Replace her spacesuit with an elegant ivory ceremonial robe decorated with subtle gold embroidery. Replace the planet and stars with a misty jungle, stone arches, hanging vines, and warm sunlight streaming through the ruins. Preserve realistic lighting, natural skin texture, cinematic depth, and fine fabric details.

Related Models

README

Bria FIBO Edit 1.5

Bria FIBO Edit 1.5 edits images using visual references and optional text instructions. Upload one to four ordered reference images, describe the desired edit when needed, and optionally use a mask for single-image edits to control which areas should change.

Why Choose This?

  • Image editing workflow
    Edit existing images using reference inputs and optional prompt instructions.

  • Multi-image input support
    Use one to four ordered reference images for stronger visual context.

  • Optional mask control
    Provide a mask for single-image edits to define editable and preserved regions.

  • Flexible aspect ratios
    Choose square, portrait, landscape, and vertical output formats.

  • Seed support
    Use a fixed seed for reproducible edits, or -1 for a random seed.

Parameters

ParameterRequiredDescription
imagesYesOne to four ordered reference image URLs.
promptNoText prompt describing the desired edit or final result.
mask_imageNoOptional mask for single-image edits. White regions are edited and black regions are preserved.
aspect_ratioNoOutput aspect ratio: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, or 16:9.
seedNoRandom seed for generation. Use -1 for a random seed. Range: -1–2147483647. Default: -1.

How to Use

  1. Upload reference images — Provide one to four images for the edit.
  2. Write a prompt optional — Describe what should change and what should remain consistent.
  3. Add a mask optional — Use mask_image for single-image edits when only specific regions should be edited.
  4. Choose aspect ratio optional — Select the output layout that matches your target format.
  5. Set seed optional — Use a fixed seed for reproducible results, or -1 for random generation.
  6. Submit — Generate the edited image.

Pricing

Pricing is fixed at $0.04 per edit.

OutputCost
One edited image$0.04

Best Use Cases

  • Prompt-guided image editing — Modify an existing image with natural-language instructions.
  • Masked edits — Edit selected regions while preserving the rest of the image.
  • Multi-reference editing — Use multiple images to guide subject, style, composition, or visual context.
  • Marketing visuals — Refine product images, campaign assets, thumbnails, and social media graphics.
  • Creative iteration — Generate alternate versions of an existing image.

Pro Tips

  • Use clear, high-quality reference images for better edit results.
  • Keep reference images visually relevant to the desired edit.
  • Use mask_image when only part of the image should change.
  • In mask images, white areas are edited and black areas are preserved.
  • Keep prompts clear and focused on the desired transformation.
  • Use a fixed seed when comparing prompt or parameter changes.
  • Choose 9:16 for vertical mobile content and 16:9 for widescreen layouts.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Fibo Edit 1.5 Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/fibo-edit-1.5/edit 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 Fibo Edit 1.5 Edit below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "images": [
        "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/fibo-edit-1.5/edit" \
  -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="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 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' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/bria/fibo-edit-1.5/edit";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "images": [
                "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
        ],
        "aspect_ratio": "1:1"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  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 = {
    "images": [
        "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/fibo-edit-1.5/edit", 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 = 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", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Fibo Edit 1.5 Edit API — Frequently asked questions

What is the Fibo Edit 1.5 Edit API?

Fibo Edit 1.5 Edit is a Bria model for image editing, exposed as a REST API on WaveSpeedAI. Bria FIBO Edit 1.5 Image Edit edits one to four reference images with natural-language or structured instructions, supporting commercially safe image editing, visual refinements, product visuals, marketing assets, brand-safe content, and production workflows. 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 Fibo Edit 1.5 Edit 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-fibo-edit-1.5-edit.

How much does Fibo Edit 1.5 Edit cost per run?

Fibo Edit 1.5 Edit 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 Fibo Edit 1.5 Edit accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `seed`, `enable_sync_mode`, `mask_image`. 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-fibo-edit-1.5-edit.

How do I get started with the Fibo Edit 1.5 Edit API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Fibo Edit 1.5 Edit 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.