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Seedream V5.0 Pro Edit API

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Seedream V5.0 Pro Edit by ByteDance edits and generates images from single-image or multi-reference inputs, supporting up to 10 reference images, aspect ratio selection, and 1K / 2K output tiers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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Transform this image into a premium kitchen appliance commercial. Preserve the chef's face, chef jacket, posture, and kitchen composition. Upgrade the kitchen into a bright, modern luxury kitchen with elegant countertops, warm sunlight, polished appliances, clean reflections, fresh ingredients, and a professional lifestyle advertisement atmosphere. Keep it realistic, clean, warm, and trustworthy.

$0.045per run·~22 / $1

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Transform this image into a premium kitchen appliance commercial. Preserve the chef's face, chef jacket, posture, and kitchen composition. Upgrade the kitchen into a bright, modern luxury kitchen with elegant countertops, warm sunlight, polished appliances, clean reflections, fresh ingredients, and a professional lifestyle advertisement atmosphere. Keep it realistic, clean, warm, and trustworthy.

Transform this image into a premium kitchen appliance commercial. Preserve the chef's face, chef jacket, posture, and kitchen composition. Upgrade the kitchen into a bright, modern luxury kitchen with elegant countertops, warm sunlight, polished appliances, clean reflections, fresh ingredients, and a professional lifestyle advertisement atmosphere. Keep it realistic, clean, warm, and trustworthy.

Related Models

README

Seedream V5.0 Pro Edit

Seedream V5.0 Pro Edit is a multimodal image editing model built for professional work: interactive precision editing, multi-reference control, photographic realism, and native multilingual text.

Why Choose This?

  • Multi-image reference editing
    Use up to 10 reference images for complex edits, compositions, and visual guidance.

  • Natural language editing
    Describe the desired edit in plain text and let the model transform the input images accordingly.

  • Pro image quality
    Designed for high-quality image editing with strong prompt adherence and polished visual output.

  • Simple resolution tiers
    Choose 1k for lower-cost edits or 2k for higher-resolution output.

  • Flexible aspect ratios
    Supports square, portrait, landscape, tall, and wide aspect ratios.

  • Standard output formats
    Generate edited images in jpeg or png format.

Parameters

ParameterRequiredDescription
promptYesText description of the desired edit.
imagesYesReference image URLs or Base64 strings. Supports up to 10 images.
aspect_ratioNoOutput aspect ratio.
resolutionNoOutput resolution tier: 1k or 2k.
output_formatNoOutput format: jpeg or png.

How to Use

  1. Upload reference images — Provide one or more images to guide the edit.
  2. Write your prompt — Describe what should change and what should stay the same.
  3. Choose aspect ratio — Select a supported aspect ratio, or leave it empty to follow the closest supported ratio from the first input image.
  4. Choose resolution — Use 1k for lower-cost edits or 2k for higher-resolution output.
  5. Choose output format — Select jpeg or png.
  6. Submit — Generate the final edited image.

Pricing

Pricing includes the selected output resolution plus reference image input cost. The first input image is included; each additional input image costs $0.003.

ResolutionPrice
1k$0.045
2k$0.090

Best Use Cases

  • Single-image editing — Edit one source image with natural-language instructions.
  • Multi-reference composition — Use multiple images to guide complex edits and visual combinations.
  • Product image editing — Refine product visuals, backgrounds, styles, and presentation.
  • Character and style guidance — Use reference images to preserve identity, outfit, mood, or visual style.
  • Marketing image workflows — Generate polished edited assets for campaigns, social media, and product content.
  • Creative iteration — Test different edit directions using the same reference images.

Pro Tips

  • Use clear prompts that describe both what should change and what should remain unchanged.
  • Use multiple reference images when identity, product details, or style consistency matters.
  • Leave aspect_ratio empty when you want the output to follow the closest supported ratio from the first input image.
  • Choose 1k for lower-cost editing and fast iteration.
  • Choose 2k when you need higher-resolution final output.
  • Use jpeg for general-purpose edited images and png when PNG output is needed.
  • Keep reference images clear, relevant, and visually consistent with the desired edit.

Related Models

Note:This website uses AI models provided by third parties.

Seedream v5.0 Pro Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-pro/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 Seedream v5.0 Pro Edit below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "images": [
        "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
    ],
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-pro/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=$(printf '%s' "$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/bytedance/seedream-v5.0-pro/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "images": [
                "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
        ],
        "aspect_ratio": "1:1",
        "resolution": "1k",
        "output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "images": [
        "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
    ],
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "output_format": "jpeg"
}

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/bytedance/seedream-v5.0-pro/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 = 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)

Seedream v5.0 Pro Edit API — Frequently asked questions

What is the Seedream v5.0 Pro Edit API?

Seedream v5.0 Pro Edit is a ByteDance model for image editing, exposed as a REST API on WaveSpeedAI. Seedream V5.0 Pro Edit by ByteDance edits and generates images from single-image or multi-reference inputs, supporting up to 10 reference images, aspect ratio selection, and 1K / 2K output tiers. 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 Seedream v5.0 Pro 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/bytedance/bytedance-seedream-v5.0-pro-edit.

How much does Seedream v5.0 Pro Edit cost per run?

Seedream v5.0 Pro Edit starts at $0.045 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 Seedream v5.0 Pro Edit accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `resolution`, `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/bytedance/bytedance-seedream-v5.0-pro-edit.

How long does Seedream v5.0 Pro Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 49 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Seedream v5.0 Pro Edit outputs commercially?

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

Seedream V5.0 Pro Edit API | WaveSpeedAI