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Fibo Colorize

bria /

Bria Colorize adds vivid colors to B&W photos or converts color to B&W with various style presets. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

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$0.04每次運行·~25 / $1

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README

Bria Fibo Colorize

Bria Fibo Colorize is an AI-powered image colorization and color styling model. Upload any image and choose a color style — the model applies professional color grading with options ranging from contemporary and vivid colors to black-and-white and vintage sepia tones.

Why Choose This?

  • Multiple color styles Four distinct options: contemporary color, vivid color, black and white, and sepia vintage.

  • Automatic colorization Transform black-and-white photos into full color images.

  • Professional color grading Apply cinematic and artistic color styles to any image.

  • Simple workflow Just upload an image and select a style — no complex parameters needed.

  • Fast processing Get results in seconds for quick iteration.

Parameters

ParameterRequiredDescription
imageYesSource image to colorize or restyle (URL or upload)
styleYesColor style: contemporary color, vivid color, black and white colors, sepia vintage

How to Use

  1. Upload your image — provide the image you want to colorize or restyle.
  2. Select style — choose from the four available color styles.
  3. Run — submit and download your colorized image.

Pricing

OutputCost
Per image$0.04

Style Options

StyleDescription
contemporary colorModern, balanced color grading with natural tones
vivid colorEnhanced saturation and vibrant, punchy colors
black and white colorsClassic monochrome conversion with rich contrast
sepia vintageWarm, nostalgic sepia tones for a vintage look

Best Use Cases

  • Photo Restoration — Colorize old black-and-white family photos.
  • Creative Editing — Apply artistic color styles to modern images.
  • Social Media Content — Create visually distinctive posts with unique color grading.
  • Vintage Effects — Add nostalgic sepia or B&W looks to photos.
  • Batch Styling — Apply consistent color treatment across multiple images.

Pro Tips

  • Use "contemporary color" for natural, realistic colorization of B&W photos.
  • Choose "vivid color" for eye-catching social media content.
  • "Black and white colors" is great for creating dramatic, timeless portraits.
  • "Sepia vintage" works well for historical or nostalgic themes.
  • Upload high-quality source images for best colorization results.

Notes

  • Both image and style are required fields.
  • Ensure uploaded image URLs are publicly accessible.
  • Works with both color and black-and-white source images.

Related Models

提示:本網站部分功能由第三方 AI 模型提供支援。

Fibo Colorize API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/fibo/colorize 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 Colorize 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",
    "style": "contemporary color"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bria/fibo/colorize" \
  -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/fibo/colorize";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "style": "contemporary color"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "style": "contemporary color"
}

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/colorize", 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)

Fibo Colorize API — Frequently asked questions

What is the Fibo Colorize API?

Fibo Colorize is a Bria model for image editing, exposed as a REST API on WaveSpeedAI. Bria Colorize adds vivid colors to B&W photos or converts color to B&W with various style presets. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Fibo Colorize 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-colorize.

How much does Fibo Colorize cost per run?

Fibo Colorize 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 Colorize accept?

Key inputs: `image`, `style`. 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-colorize.

How long does Fibo Colorize take to generate?

Median end-to-end generation time on WaveSpeedAI is around 21 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 Fibo Colorize 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.

Fibo Colorize | Fast Image Editing API | WaveSpeedAI