Seedance Video Generation
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
Description
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_DATA_URL"'" },
"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: $TASK_ID"
Mode C: Image-to-Video (First + Last Frame)
Requires two images. Supported by: Seedance 1.5 Pro, 1.0 Pro, 1.0 Lite I2V.
TASK_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ARK_API_KEY" \
-d '{
"model": "doubao-seedance-1-5-pro-251215",
"content": [
{
"type": "text",
"text": "YOUR_PROMPT_HERE"
},
{
"type": "image_url",
"image_url": { "url": "FIRST_FRAME_IMAGE_URL" },
"role": "first_frame"
},
{
"type": "image_url",
"image_url": { "url": "LAST_FRAME_IMAGE_URL" },
"role": "last_frame"
}
],
"ratio": "adaptive",
"duration": 5,
"resolution": "720p",
"generate_audio": true
}')
TASK_ID=$(echo "$TASK_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
echo "Task created: $TASK_ID"
Mode D: Reference Image-to-Video (Seedance 1.0 Lite I2V only)
Provide 1-4 reference images. Use [图1], [图2] in prompt to reference specific images.
TASK_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ARK_API_KEY" \
-d '{
"model": "doubao-seedance-1-0-lite-i2v-250219",
"content": [
{
"type": "text",
"text": "[图1]的人物在跳舞"
},
{
"type": "image_url",
"image_url": { "url": "REF_IMAGE_URL_1" },
"role": "reference_image"
}
],
"ratio": "16:9",
"duration": 5,
"resolution": "720p"
}')
TASK_ID=$(echo "$TASK_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
echo "Task created: $TASK_ID"
Step 2: Poll for Task Completion
Video generation is asynchronous. Poll the task status until it completes.
echo "Waiting for video generation to complete..."
while true; do
STATUS_RESULT=$(curl -s -X GET "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks/${TASK_ID}" \
-H "Authorization: Bearer $ARK_API_KEY")
STATUS=$(echo "$STATUS_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['status'])")
if [ "$STATUS" = "succeeded" ]; then
echo "Video generation succeeded!"
VIDEO_URL=$(echo "$STATUS_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['content']['video_url'])")
echo "Video URL: $VIDEO_URL"
break
elif [ "$STATUS" = "failed" ]; then
ERROR_MSG=$(echo "$STATUS_RESULT" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('error',{}).get('message','Unknown error'))" 2>/dev/null || echo "Unknown error")
echo "Video generation failed: $ERROR_MSG"
break
elif [ "$STATUS" = "expired" ]; then
echo "Video generation task expired."
break
else
echo "Status: $STATUS - still processing..."
sleep 15
fi
done
Step 3: Download and Open Video
OUTPUT_PATH="$HOME/Desktop/seedance_video_$(date +%Y%m%d_%H%M%S).mp4"
curl -s -o "$OUTPUT_PATH" "$VIDEO_URL"
echo "Video saved to: $OUTPUT_PATH"
open "$OUTPUT_PATH"
Optional Parameters Reference
| Parameter | Type | Default | Description |
|---|---|---|---|
model |
string | doubao-seedance-1-5-pro-251215 |
Model ID to use |
ratio |
string | 16:9 (text2vid) / adaptive (img2vid) |
Aspect ratio: 16:9, 4:3, 1:1, 3:4, 9:16, 21:9, adaptive |
duration |
integer | 5 |
Video duration in seconds (4-12 for 1.5 Pro, 2-12 for others). Set -1 for auto (1.5 Pro only) |
resolution |
string | 720p |
Resolution: 480p, 720p, 1080p |
seed |
integer | -1 |
Random seed for reproducibility. -1 = random |
camera_fixed |
boolean | false |
Fix camera position |
watermark |
boolean | false |
Add watermark to video |
generate_audio |
boolean | true |
Generate synchronized audio (Seedance 1.5 Pro only) |
draft |
boolean | false |
Generate draft/preview video at lower cost (Seedance 1.5 Pro only, forces 480p) |
return_last_frame |
boolean | false |
Return last frame image URL (for chaining consecutive videos) |
service_tier |
string | default |
default (online) or flex (offline, 50% cheaper, slower) |
execution_expires_after |
integer | 172800 |
Task timeout in seconds (3600-259200) |
Additional Operations
Query Task Status
curl -s -X GET "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks/${TASK_ID}" \
-H "Authorization: Bearer $ARK_API_KEY" | python3 -m json.tool
List Tasks
# List all tasks (paginated)
curl -s -X GET "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks?page_num=1&page_size=10" \
-H "Authorization: Bearer $ARK_API_KEY" | python3 -m json.tool
# Filter by status
curl -s -X GET "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks?page_num=1&page_size=10&filter.status=succeeded" \
-H "Authorization: Bearer $ARK_API_KEY" | python3 -m json.tool
Cancel or Delete Task
curl -s -X DELETE "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks/${TASK_ID}" \
-H "Authorization: Bearer $ARK_API_KEY"
Note: queued tasks will be cancelled; succeeded/failed/expired tasks will be deleted from history.
Generate Consecutive Videos (Using Last Frame)
Set return_last_frame: true on the first task, then use the returned last_frame_url as the first frame of the next task.
# Get last frame URL from completed task
LAST_FRAME_URL=$(curl -s -X GET "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks/${TASK_ID}" \
-H "Authorization: Bearer $ARK_API_KEY" | python3 -c "import sys,json; print(json.load(sys.stdin)['content']['last_frame_url'])")
# Use it as first frame for the next video
# ... (use Mode B with LAST_FRAME_URL as the image URL)
Draft Mode (Seedance 1.5 Pro)
Generate a cheap preview first, then produce the final video if satisfied:
# Step 1: Create draft
DRAFT_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ARK_API_KEY" \
-d '{
"model": "doubao-seedance-1-5-pro-251215",
"content": [
{ "type": "text", "text": "YOUR_PROMPT_HERE" }
],
"draft": true,
"resolution": "480p"
}')
DRAFT_TASK_ID=$(echo "$DRAFT_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
# Step 2: After draft succeeds, generate final video from draft
FINAL_RESULT=$(curl -s -X POST "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ARK_API_KEY" \
-d '{
"model": "doubao-seedance-1-5-pro-251215",
"content": [
{
"type": "draft_task",
"draft_task": { "id": "'"$DRAFT_TASK_ID"'" }
}
],
"resolution": "720p"
}')
Image Requirements
- Formats: jpeg, png, webp, bmp, tiff, gif (1.5 Pro also supports heic, heif)
- Aspect ratio (width/height): between 0.4 and 2.5
- Dimensions: 300-6000 px per side
- Max file size: 30 MB
通过飞书发送视频文件(OpenClaw)
详见 how_to_send_video_via_feishu_app.md
Rules
- Always check that
ARK_API_KEYis set before making API calls:[ -z "$ARK_API_KEY" ] && echo "Error: ARK_API_KEY not set" && exit 1 - Default to Seedance 1.5 Pro (
doubao-seedance-1-5-pro-251215) unless user requests a specific model. - Default to 720p, 16:9, 5 seconds, with audio for text-to-video.
- Default to adaptive ratio for image-to-video (auto-adapts to the input image).
- Poll interval: 15 seconds between status checks.
- Video URLs expire in 24 hours - always download immediately after generation.
- Task history is kept for 7 days only.
- For local image files, convert to base64 data URL format before sending.
- Always show the user the task ID so they can check status later.
- When generation fails, display the error message clearly and suggest possible fixes.
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