Seedance 2.0 API: Python Wrapper for ByteDance's AI Video Generator

The most comprehensive Python wrapper for the Seedance 2.0 API (developed by ByteDance), delivered via muapi.ai. Generate cinematic, high-fidelity AI videos from text prompts and static images with the world's most advanced video generation model.

Here is a comprehensive guide on using Seedance 2.0 API https://medium.com/@anilmatcha/seedance-2-0-api-complete-developer-guide-text-to-video-image-to-video-python-sdk-1479f5e5491f

🚀 Why Use Seedance 2.0 API?

Seedance 2.0 is the industry-leading Sora alternative developed by ByteDance, offering unparalleled video quality and motion consistency.

• Cinematic Quality: Generate 2K resolution AI videos with realistic physics and lighting.
• Superior Motion Control: Advanced camera movement and character consistency for professional results.
• Multimodal API: Supports Text-to-Video (T2V), Image-to-Video (I2V), and Video Extension.
• Developer-First: Fast processing via the MuAPI infrastructure with a simple Python SDK.

🌟 Key Features of Seedance 2.0 API

• ✅ Seedance 2.0 Text-to-Video (T2V): Transform complex descriptive prompts into stunning AI video clips.
• ✅ Seedance 2.0 Image-to-Video (I2V): Animate any static image with precise motion control using images_list.
• ✅ Seedance 2.0 Omni-Reference: Condition a video on any combination of image, video, and audio references in one request.
• ✅ Seedance 2.0 Character: Generate a multi-panel character sheet (front, back, side, action pose, expressions) from 1–3 reference photos. Use @character:<id> inline in any prompt, or pass the sheet directly as an anchor image for tighter face fidelity via consistent_video().
• ✅ Seedance 2.0 Video-Edit: Edit existing videos using text prompts and reference images for stylized results.
• ✅ Video Extension: Seamlessly extend existing clips while maintaining consistent style and characters.
• ✅ High-Resolution Output: Support for basic and high (2K) quality settings.
• ✅ Flexible Aspect Ratios: Optimized for 16:9, 9:16 (TikTok/Reels), 4:3, and 3:4.

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🛠 Installation

# Clone the Seedance 2.0 API repository
git clone https://github.com/Anil-matcha/Seedance-2.0-API.git
cd Seedance-2.0-API

# Install required dependencies
pip install -r requirements.txt

Configuration

Create a .env file in the root directory and add your MuAPI API key:

MUAPI_API_KEY=your_muapi_api_key_here

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💻 Quick Start with Seedance 2.0 API (Python)

from seedance_api import SeedanceAPI

# Initialize the Seedance 2.0 client
api = SeedanceAPI()

# 1. Generate Video from Text (T2V) using Seedance 2.0 API
print("Generating AI Video using Seedance 2.0...")
submission = api.text_to_video(
    prompt="A cinematic slow-motion shot of a cyberpunk city in the rain, neon lights reflecting on puddles, 8k resolution",
    aspect_ratio="16:9",
    duration=5,
    quality="high"
)

# 2. Wait for completion
result = api.wait_for_completion(submission['request_id'])
print(f"Success! View your Seedance 2.0 video here: {result['url']}")

---

📡 API Endpoints & Reference

1. Seedance 2.0 Text-to-Video (T2V)

Endpoint: POST https://api.muapi.ai/api/v1/seedance-v2.0-t2v

Supports @character:<id> inline in the prompt — see Character Workflow below.

curl --location --request POST "https://api.muapi.ai/api/v1/seedance-v2.0-t2v" \
  --header "Content-Type: application/json" \
  --header "x-api-key: YOUR_API_KEY" \
  --data-raw '{
      "prompt": "A majestic eagle soaring over the snow-capped Himalayas",
      "aspect_ratio": "16:9",
      "duration": 5,
      "quality": "high"
  }'

2. Seedance 2.0 Image-to-Video (I2V)

Endpoint: POST https://api.muapi.ai/api/v1/seedance-v2.0-i2v

Reference images with @image1, @image2, etc. in the prompt. Supports @character:<id> — characters are automatically appended to images_list.

curl --location --request POST "https://api.muapi.ai/api/v1/seedance-v2.0-i2v" \
  --header "Content-Type: application/json" \
  --header "x-api-key: YOUR_API_KEY" \
  --data-raw '{
      "prompt": "Make the clouds move slowly across the sky",
      "images_list": ["https://example.com/mountain.jpg"],
      "aspect_ratio": "16:9",
      "duration": 5,
      "quality": "basic"
  }'

3. Seedance 2.0 Omni-Reference

Endpoint: POST https://api.muapi.ai/api/v1/seedance-2.0-omni-reference

Condition a single video generation on any combination of image, video, and audio references. Use @character:<id> inline in the prompt to inject a character (see section below).

curl --location --request POST "https://api.muapi.ai/api/v1/seedance-2.0-omni-reference" \
  --header "Content-Type: application/json" \
  --header "x-api-key: YOUR_API_KEY" \
  --data-raw '{
      "prompt": "A dramatic chase scene through a neon city",
      "aspect_ratio": "16:9",
      "duration": 5,
      "images_list": ["https://example.com/scene_ref.jpg"],
      "video_files": ["https://example.com/style_ref.mp4"]
  }'

4. Seedance 2.0 Character (Consistent Character Sheets)

Endpoint: POST https://api.muapi.ai/api/v1/seedance-2-character

Create a multi-panel character sheet (front, back, side profile, action pose, facial expressions, accessories) at 4K / 21:9 from 1–3 reference photos of a real person.

Once the sheet is generated you can use it two ways:

• @character:<request_id> inline in any T2V, I2V, or Omni-Reference prompt
• Pass outputs[0] (the sheet image URL) directly as @image1 in an I2V request for tighter face fidelity

Field	Type	Required	Description
images_list	array of URLs	Yes	1–3 photos of the reference person
prompt	string	Yes	Desired outfit/style for the character

curl --location --request POST "https://api.muapi.ai/api/v1/seedance-2-character" \
  --header "Content-Type: application/json" \
  --header "x-api-key: YOUR_API_KEY" \
  --data-raw '{
      "images_list": ["https://example.com/person.jpg"],
      "prompt": "cyberpunk jacket with neon accents"
  }'

Cost: $0.18 per character sheet

For a full guide including the direct sheet-anchored I2V workflow, see CHARACTER_CONSISTENCY.md.

5. Seedance 2.0 Video-Edit

Endpoint: POST https://api.muapi.ai/api/v1/seedance-v2.0-video-edit

curl --location --request POST "https://api.muapi.ai/api/v1/seedance-v2.0-video-edit" \
  --header "Content-Type: application/json" \
  --header "x-api-key: YOUR_API_KEY" \
  --data-raw '{
      "prompt": "The cat walks through a garden",
      "video_urls": ["https://example.com/video.mp4"],
      "images_list": ["https://example.com/image.jpg"],
      "aspect_ratio": "16:9",
      "quality": "basic",
      "remove_watermark": false
  }'

---

🎭 Character Consistency Workflow

Create a fictional character from reference photos and maintain their identity across multiple video scenes.

Two approaches are available — see CHARACTER_CONSISTENCY.md for a full guide.

Option A — @character:<id> inline (simplest)

from seedance_api import SeedanceAPI
api = SeedanceAPI()

# Step 1 — generate a character sheet (1–3 reference photos)
char = api.create_character(
    images_list=["https://example.com/person.jpg"],
    outfit_description="cyberpunk jacket with neon accents, glowing visor",
)
char_id = char["request_id"]
api.wait_for_completion(char_id)  # wait for sheet to render

# Step 2 — reference the character inline in any prompt
video = api.text_to_video(
    prompt=f"@character:{char_id} rides a motorcycle through a neon-lit city at night",
    aspect_ratio="16:9",
    duration=5,
)
result = api.wait_for_completion(video["request_id"])
print(f"Video: {result['outputs'][0]}")

# Multiple characters in one prompt
char2_id = "another-completed-character-request-id"
video2 = api.text_to_video(
    prompt=f"@character:{char_id} and @character:{char2_id} face off in a neon-lit arena",
    aspect_ratio="16:9",
    duration=5,
)

Option B — consistent_video() (tighter face fidelity)

Pass the character sheet directly as the anchor image for Image-to-Video generation.

# Get the sheet URL after character creation
sheet_result = api.wait_for_completion(char_id)
sheet_url = sheet_result["outputs"][0]

# Generate with the sheet as anchor
video = api.consistent_video(
    sheet_url=sheet_url,
    prompt="@image1 draws their weapon in slow motion, dramatic lighting",
    aspect_ratio="16:9",
    duration=5,
    quality="high",
)
result = api.wait_for_completion(video["request_id"])
print(f"Video: {result['outputs'][0]}")

Tip: @character:<id> works in T2V, I2V, and Omni-Reference prompts. Use consistent_video() when face similarity is critical.

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📖 Documentation & Guides

For a comprehensive walkthrough, check out the Seedance 2.0 API: Complete Developer Guide on Medium. This guide covers advanced use cases, prompt engineering, and best practices for high-quality video generation.

Method	Parameters	Description
text_to_video	prompt, aspect_ratio, duration, quality	Generate video from text. Supports @character:<id> in prompt.
image_to_video	prompt, images_list, aspect_ratio, duration, quality	Animate images. Supports @image1/@character:<id> in prompt.
omni_reference	prompt, aspect_ratio, duration, images_list, video_files, audio_files	Multi-modal reference video generation.
create_character	images_list (1–3), outfit_description, character_name	Generate a 4K character sheet from reference photos. Returns request_id; outputs[0] is the sheet URL.
consistent_video	sheet_url, prompt, aspect_ratio, duration, quality, extra_images	I2V with the character sheet as anchor (@image1). Tighter face fidelity than @character:<id>.
video_edit	prompt, video_urls, images_list, aspect_ratio, quality, remove_watermark	Edit existing videos with prompts and images.
extend_video	request_id, prompt, duration, quality	Extend an existing Seedance video segment.
get_result	request_id	Check task status for the Seedance API.
wait_for_completion	request_id, poll_interval, timeout	Blocking helper for Seedance generation tasks.

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🔗 Official Resources

• Developer Guide: Seedance 2.0 API: Complete Tutorial
• Playground: Seedance 2.0 I2V Playground
• Extension Tool: Seedance 2.0 Extend Playground
• API Provider: MuAPI.ai

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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