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Home/Esplora/ByteDance/Seedream V4.5/Sequential

Seedream V4.5 Sequential

bytedance /

Seedream 4.5 Sequential generates multi-image sets with consistent characters and objects, unifying palette, lighting, and style across all outputs. Supports up to 4K results for campaigns, storyboards, and product lines. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

text-to-image
Input
width
height
2048 × 2048 px
Range: 512 - 8192
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Inattivo

Generate a sequence of 6 atmospheric city alley scenes that all take place in the same narrow street, with consistent architecture, signs, perspective and overall style. Style: realistic photography with a slight cinematic film look, soft grain, subtle lens bloom, inspired by Japanese backstreets. Scene 1 – Early Morning: the alley is quiet and almost empty, cool blue light, shutters half-closed, a faint mist on the ground. Scene 2 – Late Morning: shops are open, warmer sunlight enters the alley, a few people walking and bicycles parked, brighter colors. Scene 3 – Golden Hour: warm orange light from the low sun at the end of the alley, long shadows, vending machines glowing softly. Scene 4 – Blue Hour: sky is deep blue, shop signs and lanterns turn on, reflections on slightly wet pavement. Keep the street layout, buildings, signs and vantage point consistent across all 6 images so they feel like different times of day in the exact same location
Generate a sequence of 6 atmospheric city alley scenes that all take place in the same narrow street, with consistent architecture, signs, perspective and overall style. Style: realistic photography with a slight cinematic film look, soft grain, subtle lens bloom, inspired by Japanese backstreets. Scene 1 – Early Morning: the alley is quiet and almost empty, cool blue light, shutters half-closed, a faint mist on the ground. Scene 2 – Late Morning: shops are open, warmer sunlight enters the alley, a few people walking and bicycles parked, brighter colors. Scene 3 – Golden Hour: warm orange light from the low sun at the end of the alley, long shadows, vending machines glowing softly. Scene 4 – Blue Hour: sky is deep blue, shop signs and lanterns turn on, reflections on slightly wet pavement. Keep the street layout, buildings, signs and vantage point consistent across all 6 images so they feel like different times of day in the exact same location
Generate a sequence of 6 atmospheric city alley scenes that all take place in the same narrow street, with consistent architecture, signs, perspective and overall style. Style: realistic photography with a slight cinematic film look, soft grain, subtle lens bloom, inspired by Japanese backstreets. Scene 1 – Early Morning: the alley is quiet and almost empty, cool blue light, shutters half-closed, a faint mist on the ground. Scene 2 – Late Morning: shops are open, warmer sunlight enters the alley, a few people walking and bicycles parked, brighter colors. Scene 3 – Golden Hour: warm orange light from the low sun at the end of the alley, long shadows, vending machines glowing softly. Scene 4 – Blue Hour: sky is deep blue, shop signs and lanterns turn on, reflections on slightly wet pavement. Keep the street layout, buildings, signs and vantage point consistent across all 6 images so they feel like different times of day in the exact same location
Generate a sequence of 6 atmospheric city alley scenes that all take place in the same narrow street, with consistent architecture, signs, perspective and overall style. Style: realistic photography with a slight cinematic film look, soft grain, subtle lens bloom, inspired by Japanese backstreets. Scene 1 – Early Morning: the alley is quiet and almost empty, cool blue light, shutters half-closed, a faint mist on the ground. Scene 2 – Late Morning: shops are open, warmer sunlight enters the alley, a few people walking and bicycles parked, brighter colors. Scene 3 – Golden Hour: warm orange light from the low sun at the end of the alley, long shadows, vending machines glowing softly. Scene 4 – Blue Hour: sky is deep blue, shop signs and lanterns turn on, reflections on slightly wet pavement. Keep the street layout, buildings, signs and vantage point consistent across all 6 images so they feel like different times of day in the exact same location

$0.04per esecuzione·~25 / $1

Successivo:

EsempiVedi tutto

Generate a sequence of 6 atmospheric city alley scenes that all take place in the same narrow street, with consistent architecture, signs, perspective and overall style. Style: realistic photography with a slight cinematic film look, soft grain, subtle lens bloom, inspired by Japanese backstreets. Scene 1 – Early Morning: the alley is quiet and almost empty, cool blue light, shutters half-closed, a faint mist on the ground. Scene 2 – Late Morning: shops are open, warmer sunlight enters the alley, a few people walking and bicycles parked, brighter colors. Scene 3 – Golden Hour: warm orange light from the low sun at the end of the alley, long shadows, vending machines glowing softly. Scene 4 – Blue Hour: sky is deep blue, shop signs and lanterns turn on, reflections on slightly wet pavement. Keep the street layout, buildings, signs and vantage point consistent across all 6 images so they feel like different times of day in the exact same location

Generate a sequence of 6 atmospheric city alley scenes that all take place in the same narrow street, with consistent architecture, signs, perspective and overall style. Style: realistic photography with a slight cinematic film look, soft grain, subtle lens bloom, inspired by Japanese backstreets. Scene 1 – Early Morning: the alley is quiet and almost empty, cool blue light, shutters half-closed, a faint mist on the ground. Scene 2 – Late Morning: shops are open, warmer sunlight enters the alley, a few people walking and bicycles parked, brighter colors. Scene 3 – Golden Hour: warm orange light from the low sun at the end of the alley, long shadows, vending machines glowing softly. Scene 4 – Blue Hour: sky is deep blue, shop signs and lanterns turn on, reflections on slightly wet pavement. Keep the street layout, buildings, signs and vantage point consistent across all 6 images so they feel like different times of day in the exact same location

Generate a set of 3 consecutive illustrations in a gritty action-anime style: first, a lone rider speeds through a shattered desert highway on a futuristic motorcycle, pursued by armored raiders. The next illustration shows an intense mid-air leap over a collapsed bridge as explosions erupt behind them. The final scene captures the rider skidding to safety atop a cliff, raising dust while the burning wreckage of the pursuers lights up the wasteland below.

Generate a set of 3 consecutive illustrations in a gritty action-anime style: first, a lone rider speeds through a shattered desert highway on a futuristic motorcycle, pursued by armored raiders. The next illustration shows an intense mid-air leap over a collapsed bridge as explosions erupt behind them. The final scene captures the rider skidding to safety atop a cliff, raising dust while the burning wreckage of the pursuers lights up the wasteland below.

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bytedance/seedream-v4.5/edit-sequential

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bytedance/seedream-v5.0-lite/edit

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README

Seedream 4.5 Sequential

Seedream 4.5 Sequential is ’s multi-image generation model for creating whole series of images in one go. It keeps characters, props, and style consistent across all outputs, making it ideal for KVs, comic panels, and any visual set that should “look like one universe”.

Model highlights

  • Character consistency – Locks onto the same character identity (face, hairstyle, body shape) across all generated frames.
  • Object & prop stability – Reuses key objects (products, logos, props) so they don’t randomly change between images.
  • Unified visual style – Maintains palette, lighting, camera feel, and rendering style across the whole set.
  • Multi-image output – Generate several images in a single request, all driven by the same prompt.
  • 4K-ready detail – Supports resolutions up to 8192 × 8192 per image for hero KVs and print-adjacent work.
  • Typography aware – Strong on-image text rendering for branded content, titles, and UI-like elements.

Best suited for

  • Comic strips and story panels with recurring characters
  • Brand KV series and campaign sets built around the same hero figure
  • Product lineup / colourway visualisation
  • Storyboard or animatic keyframes
  • Social media content series that must feel coherent in the grid
  • Multi-step marketing journeys (awareness → consideration → conversion visuals)

Pricing

Billing is per generated image, controlled by max_images.

  • $0.04 per image
  • Formula: total_price = $0.04 × max_images

Example costs:

max_imagesTotal price
1$0.04
4$0.16
8$0.32

The exact price for your chosen settings is always shown in the WaveSpeedAI interface before you run the job.

How to use

  1. Enter your prompt Describe the scene, characters, and what must stay consistent, e.g. “Same girl with red hoodie and headphones, different city locations, cinematic lighting.”

  2. Set max_images Choose how many images you want in the series. Each one will follow the same prompt and consistency logic.

  3. Set size Choose width and height, up to 8192 × 8192 for maximum detail.

  4. Run and review Generate the series, check continuity across faces, outfits, and props, then refine the prompt for another pass if needed.

Notes

  • Please set the max_image first, and then input how many images you want to generate in prompt! Such as:

  • max_image = 4.

Prompt: I want to generate 4 images... + (your prompt)

Model comparison & related tools

  • Nano Banana Pro Google’s ultra-low-cost, high-throughput T2I model. Great for lots of individual images or quick ideation, but it doesn’t provide built-in cross-image character locking.

  • Seedream V4 – sequential ’s single-image Seedream generator with rich detail and stylish output. Ideal when you want one-off hero shots or standalone illustrations rather than a strictly consistent series.

  • Qwen Image Edit Plus Qwen-Image is a 20B MMDiT-based text-to-image generation model, especially strong at native text rendering in both English and Chinese. It is a powerful creative tool for posters, comics, and visual storytelling, while also excelling at general image generation from photorealism to anime.

Accessibilità:Questo sito web utilizza modelli di intelligenza artificiale forniti da terze parti.

Seedream v4.5 Sequential API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedream-v4.5/sequential 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 v4.5 Sequential below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v4.5/sequential" \
  -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",
    "max_images": 1,
    "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-v4.5/sequential", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "2048*2048",
        "max_images": 1,
        "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-v4.5/sequential",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "2048*2048",
    "max_images": 1,
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

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

Seedream v4.5 Sequential API — Frequently asked questions

What is the Seedream v4.5 Sequential API?

Seedream v4.5 Sequential is a ByteDance model for image generation, exposed as a REST API on WaveSpeedAI. Seedream 4.5 Sequential generates multi-image sets with consistent characters and objects, unifying palette, lighting, and style across all outputs. Supports up to 4K results for campaigns, storyboards, and product lines. 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 Sequential 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-v4.5-sequential.

How much does Seedream v4.5 Sequential cost per run?

Seedream v4.5 Sequential 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 Sequential accept?

Key inputs: `prompt`, `size`, `enable_base64_output`, `enable_sync_mode`, `max_images`. 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-sequential.

How long does Seedream v4.5 Sequential take to generate?

Average end-to-end generation time on WaveSpeedAI is around 115 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 v4.5 Sequential 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.