/seedance-video-generation-1.0.3

name: seedance-video
description: "Generate AI videos using ByteDance Seedance. Use when the user wants to: (1) generate videos from text prompts, (2) generate videos from images (first frame, first+last frame, reference images), or (3) query/manage video generation tasks. Supports Seedance 1.5 Pro (with audio), 1.0 Pro, 1.0 Pro Fast, and 1.0 Lite models."
version: 1.0.0
category: file-generation
argument-hint: "[text prompt or task ID]"

Seedance Video Generation

Generate AI videos using ByteDance Seedance models via the Volcengine Ark API.

Prerequisites

The user must set the `ARK_API_KEY` environment variable. You can set it by running:

export ARK_API_KEY="your-api-key-here"

**Base URL**: `https://ark.cn-beijing.volces.com/api/v3`

Supported Models

| Model | Model ID | Capabilities | |-------|----------|-------------| | Seedance 1.5 Pro | `doubao-seedance-1-5-pro-251215` | Text-to-video, Image-to-video (first frame, first+last frame), Audio support, Draft mode | | Seedance 1.0 Pro | `doubao-seedance-1-0-pro-250428` | Text-to-video, Image-to-video (first frame, first+last frame) | | Seedance 1.0 Pro Fast | `doubao-seedance-1-0-pro-fast-250528` | Text-to-video, Image-to-video (first frame only) | | Seedance 1.0 Lite T2V | `doubao-seedance-1-0-lite-t2v-250219` | Text-to-video only | | Seedance 1.0 Lite I2V | `doubao-seedance-1-0-lite-i2v-250219` | Image-to-video (first frame, first+last frame, reference images 1-4) |

**Default model**: `doubao-seedance-1-5-pro-251215` (latest, supports audio)

Execution (Recommended: Python CLI Tool)

A Python CLI tool is provided at `~/.claude/skills/seedance-video/seedance.py` for robust execution with proper error handling, automatic retries, and local image base64 conversion. **Prefer using this tool over raw curl commands.**

Quick Examples with Python CLI

# Text-to-video (create + wait + download)
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "小猫对着镜头打哈欠" --wait --download ~/Desktop

# Image-to-video from local file
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "人物缓缓转头微笑" --image /path/to/photo.jpg --wait --download ~/Desktop

# Image-to-video from URL
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "风景画面缓缓推进" --image "https://example.com/image.jpg" --wait --download ~/Desktop

# First + last frame
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "花朵从含苞到盛开" --image first.jpg --last-frame last.jpg --wait --download ~/Desktop

# Reference images (Lite I2V)
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "[图1]的人物在跳舞" --ref-images ref1.jpg ref2.jpg --model doubao-seedance-1-0-lite-i2v-250219 --wait --download ~/Desktop

# Custom parameters
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "城市夜景延时摄影" --ratio 21:9 --duration 8 --resolution 1080p --generate-audio false --wait --download ~/Desktop

# Draft mode (cheaper preview)
python3 ~/.claude/skills/seedance-video/seedance.py create --prompt "海浪拍打沙滩" --draft true --wait --download ~/Desktop

# Generate final video from draft
python3 ~/.claude/skills/seedance-video/seedance.py create --draft-task-id <DRAFT_TASK_ID> --resolution 720p --wait --download ~/Desktop

# Query task status
python3 ~/.claude/skills/seedance-video/seedance.py status <TASK_ID>

# Wait for an existing task
python3 ~/.claude/skills/seedance-video/seedance.py wait <TASK_ID> --download ~/Desktop

# List tasks
python3 ~/.claude/skills/seedance-video/seedance.py list --status succeeded

# Delete/cancel task
python3 ~/.claude/skills/seedance-video/seedance.py delete <TASK_ID>

Alternative: Raw curl Commands

Step 1: Create Video Generation Task

Determine the generation mode based on user input, then call the API.

Mode A: Text-to-Video

TASK_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ARK_API_KEY" \
  -d '{
    "model": "doubao-seedance-1-5-pro-251215",
    "content": [
      {
        "type": "text",
        "text": "YOUR_PROMPT_HERE"
      }
    ],
    "ratio": "16:9",
    "duration": 5,
    "resolution": "720p",
    "generate_audio": true
  }')

TASK_ID=$(echo "$TASK_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
echo "Task created: $TASK_ID"

Mode B: Image-to-Video (First Frame)

The user provides one image as the first frame. The image can be a URL or local file path (convert to base64).

**With image URL:**

TASK_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ARK_API_KEY" \
  -d '{
    "model": "doubao-seedance-1-5-pro-251215",
    "content": [
      {
        "type": "text",
        "text": "YOUR_PROMPT_HERE"
      },
      {
        "type": "image_url",
        "image_url": { "url": "IMAGE_URL_HERE" },
        "role": "first_frame"
      }
    ],
    "ratio": "adaptive",
    "duration": 5,
    "resolution": "720p",
    "generate_audio": true
  }')

TASK_ID=$(echo "$TASK_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
echo "Task created: $TASK_ID"

**With local image file (convert to base64):**

IMG_PATH="/path/to/image.png"
IMG_EXT="${IMG_PATH##*.}"
IMG_EXT_LOWER=$(echo "$IMG_EXT" | tr '[:upper:]' '[:lower:]')
IMG_BASE64=$(base64 < "$IMG_PATH" | tr -d '\n')
IMG_DATA_URL="data:image/${IMG_EXT_LOWER};base64,${IMG_BASE64}"

TASK_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ARK_API_KEY" \
  -d '{
    "model": "doubao-seedance-1-5-pro-251215",
    "content": [
      {
        "type": "text",
        "text": "YOUR_PROMPT_HERE"
      },
      {
        "type": "image_url",
        "image_url": { "url": "'"$IMG_