Doubao Seedream & Seedance API Skill

v1.0.3

提供火山引擎API接口,实现文本及图片生成图像和视频、视觉理解、任务管理和配置设置功能。

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Purpose & Capability
Name/description claim a Volcengine (Doubao) image/video/vision integration and the included Python code (ConfigManager, API client usage, model IDs) implements that. However the registry metadata declares no required credentials or config paths while SKILL.md and the code clearly expect an ARK_API_KEY (and optional VOLCENGINE_* env vars) and write/read ~/.volcengine; this mismatch is incoherent and should be resolved before trusting the skill.
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Instruction Scope
SKILL.md instructs cloning and running external scripts (git clone https://github.com/Lychee-AI-Team/seedream-skill.git and ./install.sh, ./scripts/configure.sh, ./scripts/verify_install.sh) and storing API keys in ~/.volcengine or .env. These steps would execute external code not present in the skill bundle and grant the installer ability to create config files and write to the user's home config directory. The runtime instructions also reference files and scripts that are not present in the included manifest, giving the agent broad discretion to fetch/run code.
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Install Mechanism
The skill has no declared install spec in the registry despite shipping many code files. SKILL.md recommends cloning a GitHub repo and running install scripts — pulling and executing an external repository is high risk because it can install arbitrary code. The included requirements.txt shows legitimate Python deps, but the recommended 'one-click' approach would bypass any vetting of remote install scripts.
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Credentials
Registry metadata lists no required environment variables, but SKILL.md and ConfigManager clearly expect ARK_API_KEY (and support VOLCENGINE_* variables). The code reads/writes ~/.volcengine and may persist API keys/configs; requesting API keys is appropriate for this service but the registry metadata omission is inconsistent and could mislead users. No other unrelated secrets are requested in code.
Persistence & Privilege
The skill persists state and configs under ~/.volcengine (state.json, tasks.json, history.json) which is appropriate for task management. always:false (not force-included) and autonomous invocation are default. Writing to a per-user config directory is expected but users should be aware the skill will create and modify files in their home directory.
What to consider before installing
Key things to consider before installing: - Metadata vs reality: The registry metadata claims no credentials required, but SKILL.md and the code require an ARK_API_KEY (and support VOLCENGINE_* env vars). Confirm with the publisher which is authoritative. - External install scripts: SKILL.md recommends git-cloning and running install.sh and other scripts from a third-party GitHub repo. Do NOT run install scripts from unknown sources without reviewing them — they can execute arbitrary code on your machine. Prefer to use the code included with the skill (if the platform supports it) or inspect the remote repo and install scripts first. - Config and persistence: The skill will create ~/.volcengine and write state/config files (state.json, tasks.json, history.json). If you install, review those files and consider using a dedicated/non-privileged account or an isolated environment (container) and a dedicated API key with limited scope/quota. - Verify origin and integrity: The skill's homepage/source are unknown and owner id is opaque. If you need this capability, prefer an officially published integration or verify the GitHub repository and author identity, and inspect the install.sh/scripts referenced in SKILL.md. - Least privilege: Provide a scoped API key (not your primary account key), avoid storing long-lived keys in repo files, and set file permissions (the code suggests chmod 600) where keys are stored. If you want, I can: - extract the missing files referenced by SKILL.md and search the included bundle for any install scripts or unexpected network endpoints, - point out where the code reads/writes credentials and exactly which files are modified, - or produce a checklist of safe steps to install this skill in a sandbox (Docker) and review the remote install scripts before running them.

Like a lobster shell, security has layers — review code before you run it.

latestvk97bwddcp68v9ctfgs5n6f6jc98291sw
695downloads
8stars
4versions
Updated 1mo ago
v1.0.3
MIT-0

🎨 Doubao Seedream & Seedance API Skill

Professional AI Generation Suite - Powered by Doubao Seed Models

A comprehensive AI generation skill featuring Doubao Seedream for image generation, Doubao Seedance for video creation, and Doubao Seed Vision for visual understanding.

Python 3.9+ Docker License: MIT


🌟 Core Features

🎨 Doubao Seedream 4.0 - Image Generation

State-of-the-art text-to-image generation with exceptional quality and control.

FeatureDescription
Text-to-ImageGenerate stunning images from natural language descriptions
Image EditingModify existing images with AI-powered editing tools
Image-to-ImageTransform and reimagine existing images
Multi-Size SupportFlexible dimensions (512-2048px), optimized for 64px multiples
Style ControlArtistic styles, photorealistic, and custom aesthetics

Model ID: doubao-seedream-4-0-250828

Generate an image: sunset beach with palm trees and golden waves, photorealistic style

🎬 Doubao Seedance 1.5 - Video Generation

Professional video creation with advanced camera control and motion dynamics.

FeatureDescription
Text-to-VideoCreate videos from text descriptions with cinematic quality
Image-to-VideoAnimate static images with natural motion
Camera ControlPan, zoom, dolly, and complex camera movements
Frame ControlDefine start/end frames for precise transitions
Duration Control1-10 second videos with smooth motion interpolation

Model ID: doubao-seedance-1-5-pro-251215

Generate a 5-second video: camera slowly pulls out revealing mountain vista at dawn

👁️ Doubao Seed Vision - Visual Understanding

Advanced image analysis and comprehension powered by multimodal AI.

FeatureDescription
Content AnalysisComprehensive image understanding and description
Object DetectionIdentify and locate objects within images
Scene UnderstandingContextual analysis of environments and settings
Visual Q&AAnswer questions about image content

Model ID: doubao-seed-1-6-vision-250815

Analyze this image: https://example.com/photo.jpg - describe the scene and identify objects

📊 Model Comparison

ModelTypeCapabilitiesBest For
Seedream 4.0ImageText-to-Image, Edit, TransformMarketing, Design, Art
Seedance 1.5VideoText-to-Video, Animate, MotionContent Creation, Animation
Seed VisionVisionAnalysis, Detection, Q&AAutomation, Research, Apps

🚀 Quick Start

Prerequisites

  • Python 3.9 or higher
  • Volcengine API Key (Get it here)
  • pip or Docker

Installation (Choose One)

Option 1: One-Click Install ⚡ (Recommended)

# Clone and install
git clone https://github.com/Lychee-AI-Team/seedream-skill.git
cd seedream-skill
./install.sh

Option 2: Docker 🐳

# Clone
git clone https://github.com/Lychee-AI-Team/seedream-skill.git
cd seedream-skill

# Configure
echo "ARK_API_KEY=your-api-key" > .env

# Run
docker compose up --build

Option 3: Manual 🛠️

# Clone
git clone https://github.com/Lychee-AI-Team/seedream-skill.git
cd seedream-skill

# Install dependencies
pip install -r volcengine-api/requirements.txt

# Configure
export ARK_API_KEY="your-api-key"

Configuration

# Method 1: Environment Variable (Recommended ✅ Most Secure)
export ARK_API_KEY="your-api-key-here"

# Method 2: Interactive Wizard
./scripts/configure.sh

# Method 3: Config File
mkdir -p ~/.volcengine
echo 'api_key: "your-api-key"' > ~/.volcengine/config.yaml
chmod 600 ~/.volcengine/config.yaml  # Important!

Verify Installation

./scripts/verify_install.sh

📖 Usage Guide

🎨 Image Generation

Basic Usage:

Generate an image: sunset beach with palm trees

Advanced Usage:

Generate image with parameters:
- Content: futuristic city skyline at night
- Size: 1920x1080
- Style: cyberpunk aesthetic
- Negative prompt: blurry, low quality

Parameters:

ParameterTypeDefaultDescription
promptstring-Image description (required)
widthint1024Width in pixels (64px multiples)
heightint1024Height in pixels (64px multiples)
negative_promptstring-Elements to avoid
modelstringdoubao-seedream-4-0-250828Model ID

🎬 Video Generation

Basic Usage:

Generate a 5-second video: ocean waves crashing on rocks

Advanced Usage:

Generate video with parameters:
- Content: drone shot of forest canopy
- Duration: 8 seconds
- Motion: slow vertical ascent
- Aspect ratio: 16:9

Parameters:

ParameterTypeDefaultDescription
promptstring-Video description (required)
durationfloat5.0Duration in seconds (1-10)
aspect_ratiostring"16:9"Aspect ratio (16:9, 9:16, 1:1)
modelstringdoubao-seedance-1-5-pro-251215Model ID

👁️ Vision Understanding

Basic Usage:

Analyze this image: https://example.com/image.jpg

Advanced Usage:

Analyze image with focus on:
- Identify all objects present
- Describe the scene composition
- Detect any text in the image
- Suggest improvements for photography

Parameters:

ParameterTypeDefaultDescription
imagestring-Image URL or local path (required)
promptstring-Analysis instructions
modelstringdoubao-seed-1-6-vision-250815Model ID

📋 Task Management

View Tasks:

Show my task list
List all pending tasks

Check Status:

Check status of task-123
What's the progress of my video generation?

Download Results:

Download result of task-123
Save the generated image to output folder

🔒 Security Best Practices

⚠️ Important: API Keys are sensitive credentials. Follow these security practices.

✅ Recommended Methods

MethodSecurityUse Case
Environment Variables⭐⭐⭐⭐⭐Recommended - All scenarios
Secret Management⭐⭐⭐⭐⭐Production environments
Config File (600 permissions)⭐⭐⭐Local development

🔑 Environment Variable Setup

# Temporary (current session)
export ARK_API_KEY="your-api-key"

# Permanent (add to shell config)
echo 'export ARK_API_KEY="your-api-key"' >> ~/.bashrc
source ~/.bashrc

# Verify (should show first 4 characters)
echo $ARK_API_KEY | head -c 4

🔐 Config File Security

# Create config
mkdir -p ~/.volcengine
cat > ~/.volcengine/config.yaml << 'EOF'
api_key: "your-api-key"
base_url: "https://ark.cn-beijing.volces.com/api/v3"
EOF

# Set permissions (CRITICAL!)
chmod 700 ~/.volcengine
chmod 600 ~/.volcengine/config.yaml

❌ Prohibited Actions

Don't Do ThisWhy?
❌ Commit API Key to GitPublicly accessible
❌ Log API KeyMay leak in logs
❌ Pass in URLGets logged
❌ Hardcode in codeHard to rotate
❌ Share with othersNo accountability

🔄 Key Rotation

# Rotate every 90 days (recommended)
# 1. Generate new key in Volcengine console
# 2. Update environment/config
# 3. Verify new key works
# 4. Delete old key

⚙️ Configuration

Environment Variables

VariableDescriptionDefault
ARK_API_KEYAPI key (Required)-
VOLCENGINE_BASE_URLAPI endpointhttps://ark.cn-beijing.volces.com/api/v3
VOLCENGINE_TIMEOUTRequest timeout (s)30
VOLCENGINE_MAX_RETRIESMax retries3
VOLCENGINE_OUTPUT_DIROutput directory./output

Configuration File

Location: ~/.volcengine/config.yaml

# api_key: "your-api-key"  # Recommended: use environment variable
base_url: "https://ark.cn-beijing.volces.com/api/v3"
timeout: 30
max_retries: 3
output_dir: "./output"

Priority Order

  1. Environment variable ARK_API_KEYRecommended
  2. Project config .volcengine/config.yaml
  3. Global config ~/.volcengine/config.yaml
  4. Default values

💾 Data Persistence

PathContentSensitivity
~/.volcengine/config.yamlGlobal config⚠️ May contain API Key
~/.volcengine/tasks/Task historyNormal
~/.volcengine/state/State filesNormal
./.volcengine/config.yamlProject config⚠️ May contain API Key

Security Tips:

  • Set config file permissions to 600
  • Add .volcengine/ to .gitignore
  • Clean up old history regularly

❌ Error Handling

ErrorDescriptionSolution
AuthenticationInvalid API KeyCheck ARK_API_KEY
Rate LimitToo many requestsWait and retry
NetworkConnection failedCheck internet
ParameterInvalid inputCheck format
ModelModel unavailableVerify model ID

📝 Example Workflows

🎨 Complete Image Generation Flow

1. Set API Key
   → export ARK_API_KEY="sk-xxx"

2. Generate Image
   → Generate an image: serene mountain lake at sunrise

3. Check Status
   → Check task status

4. Download Result
   → Download image to ./output/

🎬 Image-to-Video Pipeline

1. Generate Source Image
   → Generate an image: ancient temple in misty forest

2. Animate to Video
   → Generate video from image with slow camera push in

3. Monitor Progress
   → Check video generation status

4. Export Video
   → Download completed video

🐳 Deployment

MethodTimeBest For
Script Install2-3 minDevelopment, Testing
Docker3-5 minProduction, Teams
Manual5-10 minCustom setups

📖 Detailed Guide: INSTALLATION.md


📚 Documentation

DocumentDescription
Quick Start30-second setup guide
InstallationDetailed installation
ExamplesCode examples
TroubleshootingCommon issues
READMEFull documentation

🆘 Get Help

# View help
./scripts/help.sh

# Verify installation
./scripts/verify_install.sh

Need more help? Say "help" or "帮助" for interactive assistance.


📄 License

MIT License - See LICENSE file


🤝 Contributing

Contributions welcome! See CONTRIBUTING.md


📞 Support


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Built with ❤️ for AI Generation

Powered by Doubao Seed Models

Seedream • Seedance • Seed Vision

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