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Seedream 4.5 is a next-gen text-to-image model optimized for typography—crisper text rendering, stronger prompt adherence, and up to 4K output for posters and brand visuals. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-image
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$0.04por execução·~25 / $1

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README

Seedream 4.5

Seedream 4.5 is ’s latest high-resolution image generation model, upgraded through large-scale training and architecture refinement. It is especially strong at typography, poster composition, and branded visuals, with clear text rendering and strong prompt adherence.

Model highlights

  • Enhanced typography – Renders sharp, legible text for posters, logos, UI, and marketing layouts.
  • Designer-level composition – Handles complex poster-style layouts with clear hierarchy (title, subtitle, body text, logos).
  • Strong prompt adherence – Closely follows detailed descriptions for subjects, layout, and style.
  • High-resolution output – Supports custom width/height with total pixel count from 2560×1440 up to 8192×8192.
  • Aesthetic quality – Benchmarked with strong performance on MagicBench and other visual quality suites.

Recommended use cases

  • Poster, banner, and KV design with embedded text
  • Brand visual, logo, and campaign asset creation
  • E-commerce product imagery and hero shots
  • Social media graphics where typography is part of the design
  • Presentation, landing-page, and in-app visuals

Pricing

  • $0.04 per generated image

How to use

  1. Enter your prompt Describe the subject, composition, text elements (e.g., title / subtitle / tagline), and overall style.

  2. Set size (width & height) Choose pixel dimensions for your image. The model supports custom sizes as long as the total pixel count is within 2560×1440 ≤ width × height ≤ 8192×8192.

  3. Run the job Click Run to generate the image, then refine your prompt or size for the next iteration.

Suggested resolutions

Below are example resolutions that work well in practice and stay within the supported pixel range:

Aspect RatioSuggested Resolution (W × H)
1:12048 × 2048
4:32688 × 2016
3:22688 × 1792
16:92560 × 1440
Square 4K8192 × 8192

You can freely adjust width and height as long as they respect the total pixel range.

Notes

  • For text-heavy posters, slightly higher resolutions (e.g. 2048×2048 or above) give noticeably cleaner typography.
  • Keep logos and key text explicitly described (e.g. “white all-caps title at the top, small gray subtitle below”).
  • If you are using an image URL, make sure it is publicly accessible so the system can retrieve it.

Model Comparison on WaveSpeedAI

Use Seedream 4.5 together with other models, depending on your priorities:

  • google/nano-banana-pro/text-to-image – Google’s Nano Banana Pro (Gemini 3.0 Pro Image family) is ideal for ultra-low cost, multi-image generation, great for large batches and exploratory runs.

  • Tongyi-MAI/Z-Image-Turbo (available as Z-Image on WaveSpeedAI) – Tongyi-MAI’s 6B, 8-step turbo model focuses on maximum speed and throughput while keeping photorealism and bilingual (EN/ZH) support.

  • wavespeed-ai/flux-2-pro/text-to-image – FLUX.2 [pro] is a flagship, general-purpose model for cinematic quality and complex scenes, great when you need broad stylistic range beyond typography-heavy posters.

  • /seedream-v4 – The previous Seedream generation, strong at high-resolution illustration and diverse styles; Seedream 4.5 builds on it with noticeably better text rendering and layout control for branding work.

Rule of thumb:

  • Choose Seedream 4.5 for posters, brand layouts, and any text-heavy creative.
  • Choose Nano Banana Pro or Z-Image-Turbo for fast, cheap, large-scale image batches.
  • Choose FLUX.2 [pro] for cinematic, style-flexible hero shots.
  • Choose Seedream V4 when you want its familiar look or need variety across illustration styles.
Nota:Este site utiliza modelos de IA fornecidos por terceiros. Os preços da documentação são apenas para referência e podem estar desatualizados. O botão Generate mostra uma estimativa; prevalece a cobrança final da tarefa.

Seedream v4.5 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedream-v4.5 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 v4.5 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",
    "size": "2048*2048"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v4.5" \
  -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-v4.5";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "2048*2048"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "size": "2048*2048"
}

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-v4.5", 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 v4.5 API — Frequently asked questions

What is the Seedream v4.5 API?

Seedream v4.5 is a ByteDance model for image generation, exposed as a REST API on WaveSpeedAI. Seedream 4.5 is a next-gen text-to-image model optimized for typography—crisper text rendering, stronger prompt adherence, and up to 4K output for posters and brand visuals. 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 Seedream v4.5 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-v4.5.

How much does Seedream v4.5 cost per run?

Seedream v4.5 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 Seedream v4.5 accept?

Key inputs: `prompt`, `size`, `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-v4.5.

How long does Seedream v4.5 take to generate?

Median end-to-end generation time on WaveSpeedAI is around 14 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 Seedream v4.5 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 V4.5 | High-Quality Text-to-Image API on WaveSpeedAI