Access ByteDance Seedance 2.0 video generation models through the TokenHub unified API. Supports text-to-video, image-to-video, video editing, audio-driven generation and more. This guide walks you through the complete integration process.
th-xxxxxxxxxxxx...)https://tokenhub.store/api/v1All requests require an API Key in the header:
Authorization: Bearer th-your-api-keyPOST/videos/generationsCreate a video generation task, returns task ID
GET/videos/generations/{task_id}Query task status, returns video URL on success
| Model ID | Input | Price | Description |
|---|---|---|---|
| doubao-seedance-2.0 | No video input | $6.970/1M (1080p $7.727) | Flagship model, highest quality. 1080p supported. |
| With video input | $4.242/1M (1080p $4.697) | Flagship with video input, cost-effective. | |
| doubao-seedance-2.0-fast | No video input | $5.606/1M | Fast model, quicker generation. |
| With video input | $3.333/1M | Fast model with video input, most affordable. |
Billing Details:
Example: doubao-seedance-2.0 without video input (≤720p), generating a 5s video at ~1M tokens → cost ≈ $6.970
| Parameter | Type | Required | Description |
|---|---|---|---|
| model | string | Required | Model ID, e.g. "doubao-seedance-2.0" |
| prompt | string | Required | Video description text. English prompts generally yield better results |
| duration | number | Optional | Video duration (sec), range 4–15, default 5 |
| resolution | string | Optional | "480p", "720p", or "1080p" (default 720p; 1080p only for doubao-seedance-2.0) |
| aspect_ratio | string | Optional | Aspect ratio: "adaptive" (default), "16:9", "9:16", "1:1", etc. |
| image_url | string | Optional | Reference image URL (image-to-video) |
| image_urls | string[] | Optional | Array of multiple reference image URLs |
| video_url | string | Optional | Reference video URL (video editing / video-to-video) |
| video_urls | string[] | Optional | Array of multiple reference video URLs (max 3) |
| video_durations | number[] | Optional | Array of per-video durations in seconds, e.g. [3, 5] |
| input_video_duration | number | Optional | Total input video duration in seconds (alternative to video_durations) |
| audio_url | string | Optional | Reference audio URL (background music / SFX) |
| audio_urls | string[] | Optional | Array of multiple reference audio URLs (max 3) |
| generate_audio | boolean | Optional | Whether to generate audio, default true |
| watermark | boolean | Optional | Whether to add watermark, default false |
| content | array | Optional | Media assets array. Each item: { type: "image_url", image_url: { url }, role }. Supported roles: first_frame (max 1), last_frame (max 1), reference_image, reference_video, reference_audio |
You can freely combine text, images, videos, and audio as input. Note the following limits:
The most basic usage — describe a scene in text to generate a video.
curl -X POST https://tokenhub.store/api/v1/videos/generations \
-H "Authorization: Bearer th-your-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seedance-2.0",
"prompt": "A golden retriever running on a sunny beach, waves crashing in the background, cinematic slow motion, 4K quality",
"duration": 5,
"resolution": "720p",
"aspect_ratio": "16:9",
"watermark": false
}'Response:
{
"id": "xxxxxx-task-id",
"object": "video.generation.task",
"model": "doubao-seedance-2.0",
"status": "queued",
"created": 1719900000
}Video generation is asynchronous — poll the status until complete.
# Poll task status using the task_id from creation response
curl https://tokenhub.store/api/v1/videos/generations/YOUR_TASK_ID \
-H "Authorization: Bearer th-your-api-key"Task in progress:
{
"id": "YOUR_TASK_ID",
"object": "video.generation.task",
"model": "doubao-seedance-2.0",
"status": "running",
"created": 1719900000
}Task completed (video URL received):
{
"id": "YOUR_TASK_ID",
"object": "video.generation.task",
"model": "doubao-seedance-2.0",
"status": "succeeded",
"created": 1719900000,
"data": [
{
"video_url": "https://tokenhub-data.tos-cn-hongkong.volces.com/user_sd_file/YOUR_TASK_ID.mp4",
"cover_image_url": "https://tokenhub-data.tos-cn-hongkong.volces.com/user_sd_file/YOUR_TASK_ID_cover.jpg"
}
],
"usage": {
"video_duration": 5
}
}import requests
import time
API_BASE = "https://tokenhub.store/api/v1"
API_KEY = "th-your-api-key"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
# Step 1: Create video generation task
payload = {
"model": "doubao-seedance-2.0",
"prompt": "A majestic eagle soaring over snow-capped mountains, golden hour lighting, cinematic aerial shot",
"duration": 5,
"resolution": "720p",
"aspect_ratio": "16:9",
"watermark": False
}
resp = requests.post(f"{API_BASE}/videos/generations", json=payload, headers=headers)
task = resp.json()
task_id = task["id"]
print(f"Task created: {task_id}, status: {task['status']}")
# Step 2: Poll for result
while True:
resp = requests.get(f"{API_BASE}/videos/generations/{task_id}", headers=headers)
result = resp.json()
status = result["status"]
print(f"Status: {status}")
if status == "succeeded":
video_url = result["data"][0]["video_url"]
duration = result["usage"]["video_duration"]
print(f"Video ready! Duration: {duration}s")
print(f"URL: {video_url}")
break
elif status == "failed":
print(f"Failed: {result.get('error', {}).get('message', 'Unknown error')}")
break
time.sleep(5)const API_BASE = "https://tokenhub.store/api/v1";
const API_KEY = "th-your-api-key";
const headers = {
"Authorization": `Bearer ${API_KEY}`,
"Content-Type": "application/json"
};
// Step 1: Create task
const createResp = await fetch(`${API_BASE}/videos/generations`, {
method: "POST",
headers,
body: JSON.stringify({
model: "doubao-seedance-2.0",
prompt: "A majestic eagle soaring over snow-capped mountains, cinematic aerial shot",
duration: 5,
resolution: "720p",
aspect_ratio: "16:9",
watermark: false,
}),
});
const task = await createResp.json();
console.log("Task created:", task.id);
// Step 2: Poll for result
const poll = async () => {
while (true) {
const resp = await fetch(`${API_BASE}/videos/generations/${task.id}`, { headers });
const result = await resp.json();
console.log("Status:", result.status);
if (result.status === "succeeded") {
console.log("Video URL:", result.data[0].video_url);
console.log("Duration:", result.usage.video_duration, "seconds");
return result;
}
if (result.status === "failed") {
console.error("Failed:", result.error?.message);
return result;
}
await new Promise(r => setTimeout(r, 5000));
}
};
await poll();import requests, time
API_BASE = "https://tokenhub.store/api/v1"
headers = {
"Authorization": "Bearer th-your-api-key",
"Content-Type": "application/json"
}
# Image-to-Video with a single reference image
payload = {
"model": "doubao-seedance-2.0",
"prompt": "The woman in the photo turns to face the camera and smiles warmly, her hair gently blowing in the wind",
"duration": 5,
"resolution": "720p",
"image_url": "https://your-bucket.com/portrait.jpg",
"watermark": False
}
resp = requests.post(f"{API_BASE}/videos/generations", json=payload, headers=headers)
task_id = resp.json()["id"]
print(f"Task: {task_id}")
# Poll for result
while True:
r = requests.get(f"{API_BASE}/videos/generations/{task_id}", headers=headers).json()
if r["status"] == "succeeded":
print(f"Done: {r['data'][0]['video_url']}")
break
elif r["status"] == "failed":
print(f"Error: {r.get('error', {}).get('message')}")
break
time.sleep(5)When your input image contains a real person, TokenHub automatically routes the request to an upstream that supports real-person generation. No client changes required.
Triggers automatically when the upstream content filter detects a real person in the input image.
Request shape is identical to ordinary image-to-video — same POST /v1/videos/generations body.
GET polling is identical — call /v1/videos/generations/{id} with whichever id POST returned, until status is succeeded or failed. The id rewrites are handled server-side; you always see the same id for the lifetime of the request.
Returned with status 400 when no real-person-capable provider is configured for your account. Contact your administrator to enable a supported provider.
Returned via GET with status: failed when the upstream asset preparation exceeds 5 minutes. Safe to retry the request.
The pat-id is opaque to your client — keep polling until status changes.
# POST
curl -X POST https://tokenhub.store/api/v1/videos/generations \
-H "Authorization: Bearer $TH_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seedance-2.0",
"prompt": "let her dance and spin",
"duration": 8,
"resolution": "480p",
"content": [
{ "type": "image_url", "image_url": { "url": "https://example.com/portrait.png" }, "role": "first_frame" }
]
}'
# → {"id":"pat-abc123","status":"queued"}
# GET (asset still uploading)
curl https://tokenhub.store/api/v1/videos/generations/pat-abc123 -H "Authorization: Bearer $TH_KEY"
# → {"id":"pat-abc123","status":"queued"}
# GET (upstream task running)
# → {"id":"pat-abc123","status":"running"}
# GET (complete — id stays pat-, video_url in data)
# → {"id":"pat-abc123","status":"succeeded","data":[{"video_url":"..."}]}Recommended format: [Subject] + [Action] + [Environment/Background] + [Camera/Style]
"A young woman walking through a cherry blossom garden, petals falling in slow motion, soft natural lighting, cinematic 35mm film look""Close-up of hands pouring latte art into a ceramic cup, steam rising, warm cafe ambiance, shallow depth of field""Aerial drone shot of a winding river through autumn forest, golden and red leaves, morning mist, 4K cinematic"Sign up for TokenHub and start using the Seedance 2.0 Video Generation API now
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