TokenLX — One API for 245+ AI Models

Doubao Seedance 2.0 Mini is a compact Volcano Engine route for generated-video workflows. It is positioned for accessible iteration and short-form creative production.

Key strengths

Compact video route
Prompt-led generation
Iteration-friendly workflow
Managed Volcano access

Use cases

Short-form content
Storyboard motion
Ad concept drafts
Social video experiments

videocompactcreative

ByteDance's bytedance/doubao-seedance-2-0-mini is a high-fidelity video generation model. It supports text-to-video and image-to-video workflows with configurable duration, aspect ratio, and resolution, plus first-frame and last-frame control for guided scene composition.

Generates cinematic clips with consistent motion, camera control, and optional native audio. Billed per second of generated content.

bytedance/doubao-seedance-2-0-mini is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.

Performance

Compare different providers across TokenLX · All locations.

Throughput

tok/s

Latency

152

E2E Latency

200

Tool Call Errors

0.05

Output Errors

0.37

Time to First Token

118

Effective Pricing

Actual cost per million tokens across providers over the past 7 days.

Output

$3.43

per 1M tokens

7d agotoday

Recent activity

Total usage per day on TokenLX (last 30 days).

Prompt

132.00M

Completion

244.20M

30d ago15d agotoday

Sample code & API

TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.

# ─── 文生视频示例 ───
import requests, time

headers = {"Authorization": "Bearer sk-aihub-...", "Content-Type": "application/json"}

resp = requests.post(
    "https://api.tokenlx.ai/v1/aigc/video/tasks",
    headers=headers,
    json={
        "model": "doubao-seedance-2-0-mini",
        "prompt": "一个女孩在雨中撑伞行走，电影感画面",
        "duration": 5,
        "aspectRatio": "16:9",
        "resolution": "1080p",
    },
)
task = resp.json()
task_id = task.get("taskId") or task.get("task_id") or task.get("id")

# 轮询结果
while True:
    result = requests.get(
        f"https://api.tokenlx.ai/v1/aigc/video/tasks/{'{'}task_id{'}'}?model=doubao-seedance-2-0-mini",
        headers=headers,
    ).json()
    print("status:", result.get("status"))
    if result.get("status") in ("completed", "succeeded", "done"):
        print(result)
        break
    time.sleep(10)

# ─── 图生视频（首帧驱动）───
i2v_resp = requests.post(
    "https://api.tokenlx.ai/v1/aigc/video/tasks",
    headers=headers,
    json={
        "model": "doubao-seedance-2-0-mini",
        "prompt": "画面中的人物缓缓转头微笑",
        "referenceImageUrls": ["https://example.com/first-frame.jpg"],
        "videoInputMode": "first_frame",
        "duration": 5,
        "aspectRatio": "16:9",
        "resolution": "720p",
    },
)
print("taskId:", i2v_resp.json())
# 轮询方式同上

Replace sk-aihubrouter-… with your key from the dashboard.

Parameter Reference

Async Workflow

Create task

POST /v1/aigc/video/tasks

Poll result

GET /v1/aigc/video/tasks/{taskId}?model=doubao-seedance-2-0-mini

Recommended poll interval: 5–15sTask ID validity: 24h

Response is raw upstream JSON passthrough — fields vary by channel.

Volcano Seedance passes parameters as prompt suffixes: e.g. --dur 5 --ratio 16:9 --rs 720p. The system auto-appends them to your prompt.

Parameter	Type	Required	Description
model	string	Yes	Model name
prompt	string	Yes	Video description prompt
duration	int	No	Duration — appended to prompt as --dur
aspectRatio	string	No	Aspect ratio — appended as --ratio
resolution	string	No	Resolution — appended as --rs
size	string	No	Video size — appended as --size
seed	int	No	Random seed — appended as --seed, fixed value produces reproducible results
referenceImageUrls	array	Image-to-video	Reference image URLs for image-to-video generation
videoInputMode	string	No	Input mode. Auto-inferred if omitted: 1 image → first_frame, 2 → first_last_frame, ≥3 → reference `first_framefirst_last_framereference`
referenceVideoUrls	array	Ref-video	Reference video URLs for video-driven generation
referenceAudioUrls	array	Audio-drive	Audio URLs for audio-driven video (lip sync)
cameraFixed	bool	No	Fix camera position during audio-driven generation
tools	array	No	Tool list, e.g. [{"type": "lip_sync"}] for lip sync
generateAudio	bool	No	Output audio in audio-driven mode

modelstringYes

Model name

promptstringYes

Video description prompt

durationintNo

Duration — appended to prompt as --dur

aspectRatiostringNo

Aspect ratio — appended as --ratio

resolutionstringNo

Resolution — appended as --rs

sizestringNo

Video size — appended as --size

seedintNo

Random seed — appended as --seed, fixed value produces reproducible results

referenceImageUrlsarrayImage-to-video

Reference image URLs for image-to-video generation

videoInputModestringNo

Input mode. Auto-inferred if omitted: 1 image → first_frame, 2 → first_last_frame, ≥3 → reference

first_framefirst_last_framereference

referenceVideoUrlsarrayRef-video

Reference video URLs for video-driven generation

referenceAudioUrlsarrayAudio-drive

Audio URLs for audio-driven video (lip sync)

cameraFixedboolNo

Fix camera position during audio-driven generation

toolsarrayNo

Tool list, e.g. [{"type": "lip_sync"}] for lip sync

generateAudioboolNo

Output audio in audio-driven mode

Image-to-video Capabilities

✓First frame

✕First + last frame

✕Reference image

Sample code & API

TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.

# ─── 文生视频示例 ───
import requests, time

headers = {"Authorization": "Bearer sk-aihub-...", "Content-Type": "application/json"}

resp = requests.post(
    "https://api.tokenlx.ai/v1/aigc/video/tasks",
    headers=headers,
    json={
        "model": "doubao-seedance-2-0-mini",
        "prompt": "一个女孩在雨中撑伞行走，电影感画面",
        "duration": 5,
        "aspectRatio": "16:9",
        "resolution": "1080p",
    },
)
task = resp.json()
task_id = task.get("taskId") or task.get("task_id") or task.get("id")

# 轮询结果
while True:
    result = requests.get(
        f"https://api.tokenlx.ai/v1/aigc/video/tasks/{'{'}task_id{'}'}?model=doubao-seedance-2-0-mini",
        headers=headers,
    ).json()
    print("status:", result.get("status"))
    if result.get("status") in ("completed", "succeeded", "done"):
        print(result)
        break
    time.sleep(10)

# ─── 图生视频（首帧驱动）───
i2v_resp = requests.post(
    "https://api.tokenlx.ai/v1/aigc/video/tasks",
    headers=headers,
    json={
        "model": "doubao-seedance-2-0-mini",
        "prompt": "画面中的人物缓缓转头微笑",
        "referenceImageUrls": ["https://example.com/first-frame.jpg"],
        "videoInputMode": "first_frame",
        "duration": 5,
        "aspectRatio": "16:9",
        "resolution": "720p",
    },
)
print("taskId:", i2v_resp.json())
# 轮询方式同上

Replace sk-aihubrouter-… with your key from the dashboard.

Parameter Reference

Async Workflow

Create task

POST /v1/aigc/video/tasks

Poll result

GET /v1/aigc/video/tasks/{taskId}?model=doubao-seedance-2-0-mini

Recommended poll interval: 5–15sTask ID validity: 24h

Response is raw upstream JSON passthrough — fields vary by channel.

Volcano Seedance passes parameters as prompt suffixes: e.g. --dur 5 --ratio 16:9 --rs 720p. The system auto-appends them to your prompt.

Parameter	Type	Required	Description
model	string	Yes	Model name
prompt	string	Yes	Video description prompt
duration	int	No	Duration — appended to prompt as --dur
aspectRatio	string	No	Aspect ratio — appended as --ratio
resolution	string	No	Resolution — appended as --rs
size	string	No	Video size — appended as --size
seed	int	No	Random seed — appended as --seed, fixed value produces reproducible results
referenceImageUrls	array	Image-to-video	Reference image URLs for image-to-video generation
videoInputMode	string	No	Input mode. Auto-inferred if omitted: 1 image → first_frame, 2 → first_last_frame, ≥3 → reference `first_framefirst_last_framereference`
referenceVideoUrls	array	Ref-video	Reference video URLs for video-driven generation
referenceAudioUrls	array	Audio-drive	Audio URLs for audio-driven video (lip sync)
cameraFixed	bool	No	Fix camera position during audio-driven generation
tools	array	No	Tool list, e.g. [{"type": "lip_sync"}] for lip sync
generateAudio	bool	No	Output audio in audio-driven mode

modelstringYes

Model name

promptstringYes

Video description prompt

durationintNo

Duration — appended to prompt as --dur

aspectRatiostringNo

Aspect ratio — appended as --ratio

resolutionstringNo

Resolution — appended as --rs

sizestringNo

Video size — appended as --size

seedintNo

Random seed — appended as --seed, fixed value produces reproducible results

referenceImageUrlsarrayImage-to-video

Reference image URLs for image-to-video generation

videoInputModestringNo

Input mode. Auto-inferred if omitted: 1 image → first_frame, 2 → first_last_frame, ≥3 → reference

first_framefirst_last_framereference

referenceVideoUrlsarrayRef-video

Reference video URLs for video-driven generation

referenceAudioUrlsarrayAudio-drive

Audio URLs for audio-driven video (lip sync)

cameraFixedboolNo

Fix camera position during audio-driven generation

toolsarrayNo

Tool list, e.g. [{"type": "lip_sync"}] for lip sync

generateAudioboolNo

Output audio in audio-driven mode

Image-to-video Capabilities

✓First frame

✕First + last frame

✕Reference image

bytedance/doubao-seedance-2-0-mini

Key strengths

Use cases

Performance

Effective Pricing

Recent activity

Sample code & API

Parameter Reference

More models from ByteDance

bytedance/doubao-seedance-2-0-mini

Key strengths

Use cases

Performance

Effective Pricing

Recent activity

Sample code & API

Parameter Reference

More models from ByteDance