Inference Logoinference shell

Seedream 5.0 Pro

ByteDance's flagship Seedream 5.0 Pro image model via BytePlus ARK API. Precision creation and editing with pixel-level regional edits, intelligent layer understanding, complex infographic generation, multi-reference blending (up to 10 images), and native text rendering in 14 languages.

text to imageimage to imageimage editing
run in browser →run via API
run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# view schema & details
$belt app get bytedance/seedream-5-pro
# run
$belt app run bytedance/seedream-5-pro
maker
bytedance
category
image
input → output
text → image, image → image
price
$0.045-$0.09/image, <=2.36MP: $0.045, >2.36MP: $0.09
runs via
api, javascript and python sdk, belt cli, mcp
updated
2026-07-09

api reference

about

bytedance's flagship seedream 5.0 pro image model via byteplus ark api. precision creation and editing with pixel-level regional edits, intelligent layer understanding, complex infographic generation, multi-reference blending (up to 10 images), and native text rendering in 14 languages.

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1from inferencesh import inference23client = inference()456result = client.run({7        "app": "bytedance/seedream-5-pro",8        "input": {}9    })1011print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1from inferencesh import inference23client = inference()456# stream=True yields updates as they arrive7for update in client.run({8        "app": "bytedance/seedream-5-pro",9        "input": {}10    }, stream=True):11    if update.get("progress"):12        print(f"progress: {update['progress']}%")13    if update.get("output"):14        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "bytedance/seedream-5-pro",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python
1result = client.run({2    "app": "bytedance/seedream-5-pro",3    "input": {},4    "webhook": "https://your-server.com/webhook"5}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "id": "task_abc123",3  "status": 9,4  "output": { ... },5  "error": "",6  "session_id": null,7  "created_at": "2024-01-15T10:30:00Z",8  "updated_at": "2024-01-15T10:30:05Z"9}
idstring— task id
statusnumber— terminal status (9=completed, 10=failed, 11=cancelled)
outputobject— task output (when completed)
errorstring— error message (when failed)
session_idstring— session id (if using sessions)
created_atstring— iso timestamp
updated_atstring— iso timestamp

5. schema

input

promptstring*

text prompt describing the image to generate or the edit to perform. supports complex instructions: infographics, precise regional edits, layer-aware design, and text rendering in 14 languages.

example: "A detailed infographic explaining the water cycle, clean editorial design, labeled arrows, soft color palette"
imagesarray

optional reference images for image editing or multi-reference generation. up to 10 images supported.

sizestring

output image resolution. 1k or 2k.

default: "2K"
options:"1K""2K"
aspect_ratiostring

output image aspect ratio.

default: "1:1"
options:"1:1""3:4""4:3""16:9""9:16""3:2""2:3""21:9"
output_formatstring

output image format (png or jpeg).

default: "png"
options:"png""jpeg"
watermarkboolean

whether to add a watermark to the generated image.

default: false

output

imagestring(file)*

the generated image file.

other image apps

Gemini Nano Banana 2.1

google/gemini-nano-banana-2-1

$1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search

grok-imagine-image-2-0

xai/grok-imagine-image-2-0

$0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits)

GPT Image 2.5 Sunburst

openai/gpt-image-2-5-sunburst

$0.006-$0.21 per 1024x1024 image: low $0.006, medium $0.013, high $0.053, xhigh $0.094, max $0.21. Larger sizes cost more; edits add ~$0.008 per reference image.

GPT Image 2.5 Flare

openai/gpt-image-2-5-flare

$0.006-$0.21/image at 1024x1024: low $0.0059, medium $0.0132, high $0.0527, xhigh $0.0937, max $0.2107. Larger sizes cost more; edits add ~$0.0083 per reference image.

Image Resize & Crop

eval/resize

from $0.000003/sec

more from bytedance

Seedance 2.5

bytedance/seedance-2-5

$6.40–$11.70/M tokens, varies by output resolution and visual input

seedance-2-5-studio

bytedance/seedance-2-5-studio

$6.40–$11.70/M tokens, varies by output resolution and visual input

seedance-2-0-studio-mini

bytedance/seedance-2-0-studio-mini

from $0.000003/sec

Seedance 2.0 Mini

bytedance/seedance-2-0-mini

$0.0035/K tokens (text-only), $0.0021/K tokens (visual input)

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