seedance-2-0 image-to-video
doubao/seedance-2-0/image-to-video
Bring static moments to life. Seedance 2.0 features exceptional Image-to-Video capabilities, deeply analyzing spatial structures and textures to transform still images into nuanced, natural motion, making every photo the opening scene of a movie.
Examples
Parameters
| Name | Type | Default | Constraints | Description |
|---|---|---|---|---|
| first_frame *First frame | image_upload | — | image/* · 0–1 items | The first frame of the generated video |
| last_frameLast frame | image_upload | — | image/* · 0–1 items | The last frame of the generated video |
| promptPrompt | textarea | — | — | The positive prompt for the generation. |
| generate_audioGenerate Audio | boolean | true | — | Enable synchronized audio for generated video |
| resolutionResolution | select | 720p | 480p | 720p | 1080p | Video Resolution |
| ratioAspect Ratio | select | adaptive | adaptive | 16:9 | 4:3 | 1:1 | 3:4 | 9:16 | 21:9 | Aspect ratio of the generated video |
| duration *Duration (Seconds) | select | 5 | -1 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | … | Video duration (seconds). Only integer values are supported. |
| return_last_framereturn the last frame | boolean | — | — | Should the last frame of the generated video be returned? |
| watermarkAdd Watermark | boolean | false | — | Indicates whether to include a watermark in the generated video. |
| seedSeed | number | -1 | -1 ~ 4294967295 | The seed integer is used to control the randomness of the generated content. |
API
Call this model through one unified REST API. Get a key on the API Keys page.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/doubao/seedance-2-0/image-to-video" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"first_frame": [
"https://assets-public.namifusion.com/uploads/images/2026-04-10/a947fe8cbbe0.png"
],
"last_frame": [
"https://assets-public.namifusion.com/uploads/images/2026-04-10/f4234795b42f.png"
],
"prompt": "A cinematic scene of a futuristic city at night, illuminated by neon lights and flying cars.",
"generate_audio": true,
"resolution": "720p",
"ratio": "16:9",
"duration": 7,
"watermark": false,
"seed": -1
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/doubao/seedance-2-0/image-to-video",
headers=HEADERS,
json={
"input": {
"first_frame": [
"https://assets-public.namifusion.com/uploads/images/2026-04-10/a947fe8cbbe0.png"
],
"last_frame": [
"https://assets-public.namifusion.com/uploads/images/2026-04-10/f4234795b42f.png"
],
"prompt": "A cinematic scene of a futuristic city at night, illuminated by neon lights and flying cars.",
"generate_audio": True,
"resolution": "720p",
"ratio": "16:9",
"duration": 7,
"watermark": False,
"seed": -1
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/doubao/seedance-2-0/image-to-video", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"first_frame": [
"https://assets-public.namifusion.com/uploads/images/2026-04-10/a947fe8cbbe0.png"
],
"last_frame": [
"https://assets-public.namifusion.com/uploads/images/2026-04-10/f4234795b42f.png"
],
"prompt": "A cinematic scene of a futuristic city at night, illuminated by neon lights and flying cars.",
"generate_audio": true,
"resolution": "720p",
"ratio": "16:9",
"duration": 7,
"watermark": false,
"seed": -1
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);Documentation
Doubao-Seedance 2.0
The "Film Studio in a Model": Precision Control with Multi-Modal Fusion.
Seedance 2.0 is ByteDance's next-generation video generation model, designed to revolutionize the "one-person film studio" workflow. Unlike traditional T2V models, it features a revolutionary Multi-modal Reference System, allowing users to blend up to 12 different inputs (images, videos, and audio) to achieve pixel-perfect control over characters, motion, and rhythm.
🚀 Key Features
- Multi-modal Fusion: Supports simultaneous input of 9 images + 3 videos + 3 audio clips (up to 12 total) for precise character and scene consistency.
- Native 2K Cinematic Quality: Industry-leading visual fidelity with support for native 1080P and 2K resolution, featuring realistic lighting and physics.
- Audio-Visual Synchronicity: Native support for lip-sync and rhythm matching, automatically aligning visual motion with background music or speech.
- Exceptional Physical Logic: Advanced simulation of fluid dynamics, gravity, and complex human movements with a 99.5% generation success rate.
- Pro Camera Control: Direct language-based control over cinematic camera movements (pan, tilt, zoom) and lighting transitions.
🛠️ Technical Specifications
| Parameter | Details |
|---|---|
| Model Architecture | Diffusion-based Transformer (DiT) / Multi-modal |
| Max Resolution | 2K (Standard: 1080P) |
| Video Duration | 4 - 15 Seconds |
| Aspect Ratios | 16:9, 9:16, 4:3, 3:4, 21:9, 1:1 |
| Input Modality | Text, Image (up to 9), Video (up to 3), Audio (up to 3) |
| Generation Speed | ~30-90 seconds per clip |
Sample Prompts
- Cinematic: "Rainy city street at night, neon flickering. A man in a black trench coat walks with a red umbrella. Slow dolly-in to a facial close-up. Moody film noir aesthetic."
- Character Consistency: "Use @Image1 as the character, reference @Video1 for the running motion, and match the tempo of @Audio1."
💰 Pricing (Volcengine API)
| Service Type | Resolution | Price | Estimated Cost |
|---|---|---|---|
| Video Gen (T2V/I2V) | 480p/720p | $7 / 1M Tokens | ~$0.15 per second |
| Video Gen (V2V) | 480p/720p | $4.3 / 1M Tokens | ~$0.09 per second |
| Video Gen (T2V/I2V) | 1080p | $7.7 / 1M Tokens | ~$0.16 per second |
| Video Gen (V2V) | 1080p | $4.7 / 1M Tokens | ~$0.1 per second |
💡 Best Use Cases
- E-commerce & Advertising: Rapidly creating high-quality product demos and promotional short videos.
- Music Videos (MV): Automatically syncing visual transitions and effects to the beat of a song.
- Social Media Content: Professional-grade storytelling for TikTok/Reels with zero hardware overhead.
Related models
xAI Grok Imagine Video v1.5 Image to Video
Animate one input image with a text prompt into a 1-15 second video at 480p or 720p.
Vidu Q3 Image To Video
Vidu Q3 Image-to-Video turns text prompts into high-quality videos with exceptional visual fidelity and diverse motion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Nami Wan 2.7 I2V Spicy Prime
Create a 2–15 second video from a reference image and prompt, with 720p/1080p output and optional audio guidance.
MiniMax H3 Image to Video
MiniMax H3 Image to Video animates a first-frame image into a coherent 2K video, with natural-language motion instructions and optional last-frame control for consistent motion, scene continuity, and cinematic video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Kling Omni Video O3 Image-To-Video
Kling Omni Video O3 Image-to-Video transforms static images into dynamic cinematic videos using MVL (Multi-modal Visual Language) technology. Maintains subject consistency while adding natural motion, physics simulation, and seamless scene dynamics. Supports audio generation. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling Omni Video O1 Image-to-Video
Kling Omni Video O1 Image-to-Video transforms static images into dynamic cinematic videos using MVL (Multi-modal Visual Language) technology. Maintains subject consistency while adding natural motion, physics simulation, and seamless scene dynamics. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling 3.0 Standard
Kling 3.0 Standard delivers high-quality image-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Kling V2.6 Image to Video API
Kling 2.6 delivers top-tier image-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.