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ByteDance · Video Generation · Multi-modal Input

Seedance 2.0 API:
ByteDance Video Generation

ByteDance's flagship video generation model. Accepts text, images, audio, and video as input — producing professional-grade clips competitive with Runway Gen-3 and Sora. Access globally via OpenAI-compatible API.

Multi-modal
Text · Image · Audio · Video Input
1080p
Max Resolution Output
Feb 2026
Latest Release Date
~30%
Lower Cost vs Runway Gen-3

What is Seedance 2.0?

Seedance 2.0 is ByteDance's flagship AI video generation model, released in February 2026. It represents a significant advance over first-generation text-to-video models by accepting multi-modal conditioning inputs: text prompts, reference images, audio tracks, and existing video clips can all be combined to produce the final output.

The model was developed by ByteDance's AI research division (the same team behind TikTok's content recommendation engine) and reflects the company's investment in professional-grade video creation tools for content studios and developers.

For developers outside China, direct access to ByteDance's API may be restricted by region. ChinaModelAPI provides global access to Seedance 2.0 through an OpenAI-compatible endpoint, accepting USDT payment with no geographic restrictions.

Note on copyright: Seedance 2.0 attracted significant media attention in early 2026 due to IP concerns raised by major studios. ByteDance subsequently updated its content policies. As with all generative AI tools, users are responsible for ensuring their output complies with applicable copyright laws.

Seedance 2.0 Key Capabilities

📝

Text-to-Video

Describe a scene in natural language and Seedance 2.0 generates a coherent video clip with smooth motion. Supports detailed prompts including camera angles, lighting, and mood.

🖼️

Image-to-Video

Animate a static image into a video sequence. Supply a reference image and text prompt; Seedance 2.0 maintains visual consistency while adding realistic motion.

🎵

Audio-Conditioned Generation

Supply an audio track (music, speech, or ambient sound) and Seedance 2.0 generates video that is visually synchronized to the audio rhythm and mood.

🎬

Video-to-Video Editing

Use an existing video clip as a motion reference. Seedance 2.0 transfers motion dynamics, camera moves, or visual style to a new generation while following your text prompt.

🎯

High Prompt Fidelity

Strong adherence to detailed prompts. Handles complex scene compositions including multiple subjects, specific actions, and precise environmental descriptions.

Professional Output Quality

Up to 1080p resolution output. Smooth inter-frame motion, stable temporal consistency, and cinematic-grade lighting and color rendering.

Seedance 2.0 vs Runway Gen-3 vs Sora (2026)

Feature Seedance 2.0 Runway Gen-3 OpenAI Sora Kling 1.6
Max Resolution 1080p 1080p 1080p 1080p
Text Input
Image Input
Audio Input Conditioning ✓ Native Partial
Video-to-Video Limited
API Access (non-China) Via ChinaModelAPI Global Limited Via relay
Est. Cost (per 10s clip) ~$0.30–0.40 ~$0.50 ~$0.60+ ~$0.35
USDT Payment ✓ (via ChinaModelAPI)

Pricing estimates for standard quality at 24fps. Actual pricing may vary. Last updated: June 2026.

API Integration Guide

Video generation is asynchronous — submit a task, receive a task_id, then poll for the result. Here's how to integrate Seedance 2.0 via ChinaModelAPI.

Python — Text-to-Video requests
import requests, time

API_KEY = "your_chinamodelapi_key"
BASE_URL = "https://api.chinamodelapi.com/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

# Step 1: Submit video generation task
payload = {
    "model": "seedance-2.0",
    "prompt": "A cinematic aerial shot of a mountain range at sunrise, golden hour lighting, 4K quality, smooth camera pan",
    "duration": 8,    # seconds (4–16)
    "resolution": "1080p"
}
resp = requests.post(f"{BASE_URL}/video/generations", json=payload, headers=HEADERS)
task_id = resp.json()["task_id"]
print(f"Task submitted: {task_id}")

# Step 2: Poll for result
while True:
    result = requests.get(f"{BASE_URL}/video/tasks/{task_id}", headers=HEADERS).json()
    if result["status"] == "succeeded":
        print("Video URL:", result["video_url"])
        break
    elif result["status"] == "failed":
        raise Exception("Generation failed")
    time.sleep(5)  # poll every 5 seconds
Python — Image-to-Video (with reference image)
import base64

# Encode your reference image as base64
with open("reference.jpg", "rb") as f:
    img_b64 = base64.b64encode(f.read()).decode()

payload = {
    "model": "seedance-2.0",
    "prompt": "The person slowly turns toward the camera with a warm smile",
    "image": f"data:image/jpeg;base64,{img_b64}",
    "duration": 6,
    "resolution": "720p"
}
# ... same polling logic as above
curl — Submit and Check Status
# Submit task
curl -X POST https://api.chinamodelapi.com/v1/video/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2.0",
    "prompt": "A futuristic city at night with neon lights and flying cars",
    "duration": 8,
    "resolution": "1080p"
  }'

# Check task status
curl https://api.chinamodelapi.com/v1/video/tasks/TASK_ID \
  -H "Authorization: Bearer YOUR_API_KEY"

Best Use Cases for Seedance 2.0

📱

Social Media Content

Generate short video clips for TikTok, Instagram Reels, and YouTube Shorts at scale. The audio-conditioning feature is ideal for music video content and brand campaigns.

🎞️

Film & TV Pre-visualization

Rapid storyboard animation and concept visualization. Studios use Seedance 2.0 to preview scenes before full production, cutting pre-vis time by 60–70%.

🛍️

E-commerce Product Videos

Animate product images into engaging video showcases. Use Image-to-Video with a product photo and motion prompt to create compelling ad creatives.

🎮

Game & VR Asset Generation

Generate concept environment videos and cinematic sequences. Video-to-video transfer enables style-consistent scene generation from reference footage.

Frequently Asked Questions

What is Seedance 2.0?

Seedance 2.0 is ByteDance's flagship AI video generation model, launched in February 2026. Unlike text-only models, it accepts multi-modal inputs — text, images, audio, and video — to produce professional-grade video output up to 1080p. It is positioned as a direct competitor to Runway Gen-3 and OpenAI Sora.

How does Seedance 2.0 differ from Runway Gen-3?

Seedance 2.0's standout feature is native audio conditioning — you can supply a music track or audio clip to influence the visual rhythm and style of the generated video. Runway Gen-3 only partially supports this. Seedance 2.0 also offers competitive pricing through ChinaModelAPI, typically 25–35% cheaper than Runway for equivalent output.

Can I access Seedance 2.0 API outside China?

Yes. ChinaModelAPI provides global access to Seedance 2.0 through an OpenAI-compatible API endpoint. No Chinese phone number, local payment method, or VPN is required. Sign up, fund with USDT, and call the video generation endpoint from anywhere in the world.

What video formats and durations does Seedance 2.0 support?

Seedance 2.0 generates MP4 video clips from 4 to 16 seconds at resolutions up to 1080p (24fps). For longer productions, multiple clips can be generated and assembled in post-production. Batch generation is supported for high-volume workflows.

What is the difference between Seedance 2.0 and PixelDance?

Both are ByteDance video models. PixelDance (MagicVideo-V2) was ByteDance's earlier high-fidelity text-to-video model with strong motion quality. Seedance 2.0 is the newer flagship with multi-modal input conditioning. For most production use cases in 2026, Seedance 2.0 is recommended over PixelDance.

Is there a free tier for Seedance 2.0 API?

Video generation requires the Pro plan ($99) or higher on ChinaModelAPI, as compute costs for video are significantly higher than text generation. New users can test the endpoint with a small token purchase before committing to a full plan. Contact our team for enterprise pricing on high-volume video generation workloads.

Related Guides

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