Seedance 1.0 lite i2v Serverless API

Seedance 1.0 transforms text and images into engaging 720p dynamic videos with cinematic storytelling.

PlaygroundAPIPricing
~39.37s
POST /v2/seedance-v1-lite-image-to-video · submit + poll
 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "image_url": "https://segmind-resources.s3.amazonaws.com/input/73a8dadb-95e6-4bdc-a3ae-a4cd041b99a0-b572c379-3eb8-4c67-893c-b08662f9d11f.jpeg",
11    "duration": 5,
12    "prompt": "Generate a serene forest scene at dawn with birds chirping, sunlight filtering through trees, and a gentle mist.",
13    "resolution": "720p",
14    "seed": 12345,
15    "camera_fixed": False,
16    "skip_moderation": "false",
17    "auto_resize": True,
18}
19job = client.submit_async("seedance-v1-lite-image-to-video", **payload)
20print(job.request_id)                         # available immediately
21try:
22    result = job.wait(timeout=900, interval=2.0)
23    print(result["status"])                  # COMPLETED
24    print(result.get("output"))              # model output (e.g. video URL)
25except InferenceTimeout as e:
26    print("still running:", e.request_id)    # re-poll later with this id
27except InferenceFailed as e:
28    print("failed:", e.detail)
29
30# Fast models (<=600s) can use the one-liner instead:
31# result = segmind.run("seedance-v1-lite-image-to-video", **payload)

API Endpoint

POSThttps://api.segmind.com/v1/seedance-v1-lite-image-to-video

Parameters

durationrequired
integer

Set video length in seconds. Opt for 5 seconds for quick previews, 10 for detailed scenes.

Default: 5
Allowed values :
510
image_urlrequired
string (uri)

URL to the first frame image for video generation (legacy parameter). The model will use this image as the starting frame to generate the video based on your prompt. Note: Cannot be used together with first_frame_url or last_frame_url. For new integrations, prefer using first_frame_url instead.

promptrequired
string

Detail the animation scene vividly. E.g., A sunset beach scene with waves lapping, people playing, sky turning orange.

resolutionrequired
string

Choose video clarity; 720p for most uses, 480p for faster processing.

Default: "720p"
Allowed values :
"480p""720p"
auto_resizeoptional
boolean

Automatically resizes an input image that falls outside the provider's accepted range (300-6000px per side, aspect ratio 0.4-2.5, 30MB) so the request succeeds instead of being rejected. Aspect ratio is preserved: oversized images are downscaled, undersized ones upscaled, and out-of-band ratios padded rather than cropped. On by default - set it to false to have the provider reject out-of-range images instead. When a resize happens the response carries an X-Input-Normalized header naming the field and the before/after dimensions.

Default: true
camera_fixedoptional
boolean

Whether to fix the camera position.

Default: false
first_frame_urloptional
string (uri)

URL to the first frame image for video generation. Use this to specify the starting frame of your video. Can be used alone or together with last_frame_url. Note: Cannot be used together with image_url (reference image).

last_frame_urloptional
string (uri)

URL to the last frame image for video generation. Use this together with first_frame_url to specify both the starting and ending frames of your video. The model will generate smooth transitions between the two frames. Note: Requires first_frame_url to be provided.

seedoptional
integer

Define a seed for consistent outputs. Any number 1-999999 suffices.

Range: 1 - 999999
skip_moderationoptional
boolean

Bypass BytePlus content moderation pre-filter. Useful when generating artistic content or faces that may trigger false positives. Baseline BytePlus safety policies still apply.

Default: false

Response Type

Returns: Video

Asynchronous requests (v2)

Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.

  1. 1
    POST /v2/seedance-v1-lite-image-to-video

    Submit — returns request_id, status_url, response_url

  2. 2
    GET /v2/requests/{id}/status

    Poll — until COMPLETED or FAILED

  3. 3
    GET /v2/requests/{id}

    Result — final response body

Status states

QUEUED— Accepted, waiting for a worker
PROCESSING— Running on a worker
COMPLETED— Done — result body is ready
FAILED— Errored (incl. content/RAI blocks)
  • A FAILED request is served as HTTP 422 — the body still carries the error detail.
  • An unknown or expired request_id returns HTTP 404.
  • Results are retained for 1 hour, then expire.
  • Content / RAI blocks surface as FAILED, not a separate state.
  • Track completion by polling the status endpoint.

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out