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Seedream 5.0 Lite

ByteDanceReleased Feb 13, 2026bytedance/seedream-5-lite
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Seedream 5.0 Lite is ByteDance's fast, cost-efficient image-generation model from the Seedream family, built on a unified generation-editing architecture that runs text-to-image, single-image editing, multi-image fusion, and batch sequence generation through one endpoint. It supports up to 6 images per batch, reference-image fusion (image_urls), and configurable resolution up to 3K, trading some fidelity versus Seedream 5.0 Pro for faster, cheaper generation.

Context
4K
Max output
4K
Input /1M
—
Output /1M
$0.035/img
AcceptsTextProducesImage

Providers

FastRouter routes your requests to this provider. You can also bring your own key.

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BytePlus
byteplus
Input /1M—
Output /1M$0.035/img
Context4K
Max output4K
Supports structured (JSON) output

Supported parameters

Request parameters you can send with this model.

Parameter
Type
BytePlus
Core (Sampling & basic generation)
nNumber of completions to generate.
number
1 to 6
seedSeed for deterministic sampling.
number
-
Output & Format (Response Formatting)
response_formatStructured output format configuration.
string
"url", "b64_json"
Other
guidance_scale
number
1 to 10
image
string
-
sequential_image_generation
string
"disabled", "auto"
size
string
"1K", "2K", "3K", "1024x1024", "864x1152", "1152x864", "1280x720", "720x1280", "adaptive"
watermark
bool
true | false

Make your first API call

OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.

Full API docs
Replace <FASTROUTER_API_KEY> with your key · Get your key →Install
OpenAI SDKHTTP
import base64
from openai import OpenAI
client = OpenAI(
api_key="<FASTROUTER_API_KEY>",
base_url="https://api.fastrouter.ai/api/v1"
)
img = client.images.generate(
model="bytedance/seedream-5-lite",
prompt="A cute baby sea otter",
n=1,
size="1024x1024"
)
image_base64 = img.data[0].b64_json
image_bytes = base64.b64decode(image_base64)
with open("otter.png", "wb") as f:
f.write(image_bytes)

Frequently asked questions

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Model scores sourced from ArtificialAnalysis