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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) query/manage video generation tasks. Supports Seedance 1.5 Pro (with audio), 1.0 Pro, 1.0 Pro Fast, and 1.0 Lite models.

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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.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
how_to_send_video_via_feishu_app.md, CHANGELOG.md, SKILL.md, seedance.py, LICENSE.txt

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  • Review SKILL.md after the package is downloaded.
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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.3

Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

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

ModelModel IDCapabilitiesSeedance 1.5 Prodoubao-seedance-1-5-pro-251215Text-to-video, Image-to-video (first frame, first+last frame), Audio support, Draft modeSeedance 1.0 Prodoubao-seedance-1-0-pro-250428Text-to-video, Image-to-video (first frame, first+last frame)Seedance 1.0 Pro Fastdoubao-seedance-1-0-pro-fast-250528Text-to-video, Image-to-video (first frame only)Seedance 1.0 Lite T2Vdoubao-seedance-1-0-lite-t2v-250219Text-to-video onlySeedance 1.0 Lite I2Vdoubao-seedance-1-0-lite-i2v-250219Image-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>

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

ParameterTypeDefaultDescriptionmodelstringdoubao-seedance-1-5-pro-251215Model ID to useratiostring16:9 (text2vid) / adaptive (img2vid)Aspect ratio: 16:9, 4:3, 1:1, 3:4, 9:16, 21:9, adaptivedurationinteger5Video duration in seconds (4-12 for 1.5 Pro, 2-12 for others). Set -1 for auto (1.5 Pro only)resolutionstring720pResolution: 480p, 720p, 1080pseedinteger-1Random seed for reproducibility. -1 = randomcamera_fixedbooleanfalseFix camera positionwatermarkbooleanfalseAdd watermark to videogenerate_audiobooleantrueGenerate synchronized audio (Seedance 1.5 Pro only)draftbooleanfalseGenerate draft/preview video at lower cost (Seedance 1.5 Pro only, forces 480p)return_last_framebooleanfalseReturn last frame image URL (for chaining consecutive videos)service_tierstringdefaultdefault (online) or flex (offline, 50% cheaper, slower)execution_expires_afterinteger172800Task timeout in seconds (3600-259200)

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_KEY is 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.

Category context

Writing, remixing, publishing, visual generation, and marketing content production.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs1 Scripts1 Files
  • SKILL.md Primary doc
  • CHANGELOG.md Docs
  • how_to_send_video_via_feishu_app.md Docs
  • seedance.py Scripts
  • LICENSE.txt Files