Seedream V4

A text-to-image model optimized for multi-panel/tiled posters, concept designs with copy, series KV, and social media assets. It excels at grid-based layouts, whitespace planning, and type readability.

Model Highlights

Layout-aware: Grids (2×2, triptych, comics), keeps whitespace/safe areas for title/subtitle/CTA.
Consistent series: Unified palette, lighting, and camera across panels/KV.
High fidelity: Strong identity/detail retention; clean edges, fewer artifacts.
High-res: 2K default; custom ratios; up to 8192×8192.

Price

Only $0.027 for one run!!!

Copy-ready Templates

2×2 Grid Poster

2×2 grid poster, clean margins for typography; title top-center: “{TITLE}”; subtitle: “{SUBTITLE}”. Panel 1: {SCENE_A}; Panel 2: {SCENE_B}; Panel 3: {SCENE_C}; Panel 4: {SCENE_D}. Consistent color grading, cinematic lighting, brand color {BRAND_COLOR}, high-legibility background, minimal clutter.

Triptych (Horizontal)

Horizontal triptych, left-to-right narrative: {SCENE_A} → {SCENE_B} → {SCENE_C}. Unified palette {BRAND_COLOR}, soft vignette, clear gutters, strong typographic hierarchy, reserved space for CTA: “{CTA}”.

Comic (4-Panel Strip)

4-panel comic layout with speech-bubble placeholders. Panel 1: {SCENE_A}; Panel 2: {SCENE_B}; Panel 3: {SCENE_C}; Panel 4: {SCENE_D}. Bold line art, flat shading, clear gutters, high readability.

Minimalist Poster

Minimalist poster; large centered title: “{TITLE}”; small subtitle below: “{SUBTITLE}”. Single focal object: {OBJECT}. Monochrome + accent {BRAND_COLOR}. High-legibility background; strict grid; generous whitespace.

How to Use

Enter your prompt: Describe the subject, layout, text placement (title/subtitle/CTA), and style.
Set size: Choose width/height. Maximum: 8192×8192.
Run: Click Run to generate. If needed, tweak the prompt or size and run again.

Recommended Resolutions

Aspect Ratio	Exact (W×H)	Exact Pixels	Rounded (W×H, ÷64)	Rounded Pixels
1:1	1448 × 1448	2,096,704	1408 × 1408	1,982,464
3:2	1773 × 1182	2,095,686	1728 × 1152	1,990,656
4:3	1672 × 1254	2,096,688	1664 × 1216	2,023,424
16:9	1936 × 1089	2,108,304	1920 × 1088	2,088,960
21:9	2212 × 948	2,096,976	2176 × 960	2,088,960
1:1	1024 × 1024	1,048,576	1024 × 1024	1,048,576
3:2	1254 × 836	1,048,344	1216 × 832	1,011,712
4:3	1182 × 887	1,048,434	1152 × 896	1,032,192
16:9	1365 × 768	1,048,320	1344 × 768	1,032,192
21:9	1564 × 670	1,047,880	1536 × 640	983,040
1:1	323 × 323	104,329	320 × 320	102,400
3:2	397 × 264	104,808	384 × 256	98,304
4:3	374 × 280	104,720	448 × 320	143,360
16:9	432 × 243	104,976	448 × 256	114,688
21:9	495 × 212	104,940	576 × 256	147,456

Seedream v4 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedream-v4 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Seedream v4 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v4" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "2048*2048",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("bytedance/seedream-v4", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "2048*2048",
        "enable_base64_output": false,
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "bytedance/seedream-v4",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "2048*2048",
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Seedream v4 API — Frequently asked questions

What is the Seedream v4 API?

Seedream v4 is a ByteDance model for image generation, exposed as a REST API on WaveSpeedAI. Seedream 4.0 by is a state-of-the-art image generation model delivering high-fidelity outputs and outperforming Nano Banana. 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 v4 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedream-v4.

How much does Seedream v4 cost per run?

Seedream v4 starts at $0.027 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 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.

How long does Seedream v4 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 11 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 v4 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.

ExamplesView all

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