n8n-nodes-jimengai

Seamlessly integrate Jimeng's image/video generation capabilities into n8n for visual AI content creation workflows.

🧩 Plugin Introduction

n8n-nodes-jimengai is an n8n plugin based on Jimeng, supporting image generation and video generation core operation nodes, allowing users to complete high-quality AIGC image/video creation tasks through process automation.

n8n is a workflow automation platform with fair-code license.

Quick Start
Core Features
Use Cases
Authentication
Compatibility
Resources

Quick Start

1. Install the plugin in n8n:

   npm install n8n-nodes-jimengai

2. Drag "Jimeng" node into the editor.

3. Select resource type:

   • Image: Image generation (Text-to-Image 2.1/3.0/3.1/4.0, Image-to-Image 3.0)
   • Video: Video generation (Text-to-Video, Image-to-Video, Action Imitation, Digital Human Video, etc.)

4. Select specific operation:

   • Image generation: Text-to-Image 2.1, Text-to-Image 3.0, Text-to-Image 3.1, Text-to-Image 4.0, Image-to-Image 3.0, various result queries
   • Video generation: Text-to-Video 720P/1080P, Image-to-Video 720P/1080P, Action Imitation, Video Generation 3.0 Pro, Digital Human Video Generation, etc.
   • Digital Human features: Human Subject Detection, Digital Human Video Generation, Digital Human Result Query, etc.
   • Status queries: Various image result queries, video result queries, digital human result queries, etc.

5. Configure authentication information:

   • AccessKeyID
   • SecretAccessKey
   • Region

   Note: You may not see "Connection tested successfully" during credential configuration. This is normal behavior. Authentication will be validated during actual API calls.

6. Fill in parameters and start generating.

7. Async Task Processing:

   • For async interfaces (Text-to-Image 3.0/3.1/4.0, all video generation, digital human features), task ID will be returned
   • Use corresponding status query interfaces to periodically check task status
   • Retrieve generated images, videos, or digital human content when tasks are completed

8. Can be combined with other nodes (such as: OpenAI, Notion, Telegram, Drive, etc.) to build complete automation workflows.

Core Features

✨ Image Generation

• Text-to-Image 2.1: Generate high-quality images from text descriptions (synchronous)
• Text-to-Image 3.0: Use Jimeng 3.0 model for text-to-image generation (asynchronous)
• Text-to-Image 3.1: Use Jimeng 3.1 model for text-to-image generation (asynchronous)
• Text-to-Image 4.0: Use Jimeng 4.0 model for advanced image generation with multi-image input support (asynchronous)
• Image-to-Image 3.0: Generate new images based on existing images and text prompts (asynchronous)
• Result Query: Text-to-Image 3.0 result query, Text-to-Image 3.1 result query, Text-to-Image 4.0 result query, Image-to-Image 3.0 result query
• Multi-model Support: jimeng-2.1, jimeng-3.0, jimeng-3.1, jimeng-4.0
• Flexible Dimensions: Support multiple aspect ratios (21:9, 16:9, 3:2, 4:3, 1:1, 3:4, 2:3, 9:16)
• Advanced Features: Multi-image input, smart dimension settings, aspect ratio constraints, force single image generation
• Watermark Settings: Support custom watermark text, position, transparency, etc.
• AIGC Metadata: Support content producer, distributor and other metadata settings
• Async Processing: Choose to wait for completion or process asynchronously

🤖 Digital Human Features

• Human Subject Detection: Detect whether images contain human subjects for digital human creation
• Digital Human Video Generation: Generate digital human videos based on images and audio (MP4 format)
• Result Query: Digital human video generation result query, human subject detection result query
• Multi-format Output: Support Base64, binary data, file saving and other output formats
• Local Caching: Support video file local caching for improved reuse efficiency
• Smart Detection: Automatically detect human subjects in images to ensure digital human generation quality
• Audio Synchronization: Support precise audio-video synchronization, recommended audio within 15 seconds
• Async Processing: Support async task submission and status query

🎬 Video Generation

• Text-to-Video 720P: Generate 720P videos from text descriptions
• Text-to-Video 1080P: Generate 1080P videos from text descriptions
• Image-to-Video 720P-First Frame: Generate 720P videos based on image first frame
• Image-to-Video 720P-First Last Frame: Generate 720P videos based on image first and last frames
• Image-to-Video 720P-Camera Motion: Generate 720P videos based on image and camera motion effects
• Image-to-Video 1080P-First Frame: Generate 1080P videos based on image first frame
• Image-to-Video 1080P-First Last Frame: Generate 1080P videos based on image first and last frames
• Video Generation 3.0 Pro: Use Pro model to generate high-quality videos
• Action Imitation: Generate videos based on reference video action imitation
• Video Result Query: Real-time query of various video generation task status and results
• Flexible Parameters: Support multiple aspect ratios and duration settings (1-10 seconds)
• Async Processing: Choose to wait for completion or process asynchronously

Implemented API Interfaces

📸 Image Generation Interfaces (9)

| Interface Name | File Path | Model Version | Description | Test | |---------------|-----------|---------------|-------------|------| | Text-to-Image 2.1 | TextToImageOperate.ts | jimeng-2.1 | Generate high-quality images from text descriptions (synchronous) | Success | | Text-to-Image 3.0 | TextToImage30Operate.ts | jimeng-3.0 | Use 3.0 model for text-to-image generation (asynchronous) | Success | | Text-to-Image 3.1 | TextToImage31Operate.ts | jimeng-3.1 | Use 3.1 model for text-to-image generation (asynchronous) | Success | | Text-to-Image 4.0 | ImageGeneration40Operate.ts | jimeng-4.0 | Use 4.0 model for advanced image generation with multi-image input support (asynchronous) | Success | | Image-to-Image 3.0 | ImageToImageOperate.ts | jimeng-3.0 | Generate new images based on existing images and text prompts (asynchronous) | Success | | Text-to-Image 3.0 Result | TextToImage30ResultOperate.ts | - | Query text-to-image 3.0 task results | Success | | Text-to-Image 3.1 Result | TextToImage31ResultOperate.ts | - | Query text-to-image 3.1 task results | Success | | Text-to-Image 4.0 Result | ImageGeneration40ResultOperate.ts | - | Query text-to-image 4.0 task results | Success | | Image-to-Image 3.0 Result | ImageToImage30ResultOperate.ts | - | Query image-to-image 3.0 task results | Success |

🎬 Video Generation Interfaces (18)

| Interface Name | File Path | Model Version | Description | Test | |---------------|-----------|---------------|-------------|------| | Text-to-Video 720P | TextToVideo720POperate.ts | video-3.0-720p | Generate 720P videos from text descriptions | Success | | Text-to-Video 1080P | TextToVideo1080POperate.ts | video-3.0-1080p | Generate 1080P videos from text descriptions | Success | | Image-to-Video 720P-First Frame | ImageToVideo720PFirstFrameOperate.ts | video-3.0-720p | Generate 720P videos based on image first frame | Success | | Image-to-Video 720P-First Last Frame | ImageToVideo720PFirstLastFrameOperate.ts | video-3.0-720p | Generate 720P videos based on image first and last frames | Success | | Image-to-Video 720P-Camera Motion | ImageToVideo720PCameraMotionOperate.ts | video-3.0-720p | Generate 720P videos based on image and camera motion effects | Success | | Image-to-Video 1080P-First Frame | ImageToVideo1080PFirstFrameOperate.ts | video-3.0-1080p | Generate 1080P videos based on image first frame | Success | | Image-to-Video 1080P-First Last Frame | ImageToVideo1080PFirstLastFrameOperate.ts | video-3.0-1080p | Generate 1080P videos based on image first and last frames | Success | | Video Generation 3.0 Pro | VideoGeneration30ProOperate.ts | video-3.0-pro | Use Pro model to generate high-quality videos | Success | | Action Imitation | ActionImitationOperate.ts | action-imitation | Generate videos based on reference video action imitation | Success | | Text-to-Video 720P Result | TextToVideo720PResultOperate.ts | - | Query text-to-video 720P task results | Success | | Text-to-Video 1080P Result | TextToVideo1080PResultOperate.ts | - | Query text-to-video 1080P task results | Success | | Image-to-Video 720P-First Frame Result | ImageToVideo720PFirstFrameResultOperate.ts | - | Query image-to-video 720P-first frame task results | Success | | Image-to-Video 720P-First Last Frame Result | ImageToVideo720PFirstLastFrameResultOperate.ts | - | Query image-to-video 720P-first last frame task results | Success | | Image-to-Video 720P-Camera Motion Result | ImageToVideo720PCameraMotionResultOperate.ts | - | Query image-to-video 720P-camera motion task results | Success | | Image-to-Video 1080P-First Frame Result | ImageToVideo1080PFirstFrameResultOperate.ts | - | Query image-to-video 1080P-first frame task results | Success | | Image-to-Video 1080P-First Last Frame Result | ImageToVideo1080PFirstLastFrameResultOperate.ts | - | Query image-to-video 1080P-first last frame task results | Success | | Video Generation 3.0 Pro Result | VideoGeneration30ProResultOperate.ts | - | Query video generation 3.0 Pro task results | Success | | Action Imitation Result | ActionImitationResultOperate.ts | - | Query action imitation task results | Success |

🤖 Digital Human Feature Interfaces (4)

| Interface Name | File Path | Model Version | Description | Test | |---------------|-----------|---------------|-------------|------| | Human Subject Detection | HumanSubjectDetectionOperate.ts | - | Detect whether images contain human subjects | Success | | Human Subject Detection Result | HumanSubjectDetectionResultOperate.ts | - | Query human subject detection task results | Success | | Digital Human Video Generation | HumanVideoGenerationOperate.ts | digital-human | Generate digital human videos based on images and audio | Success | | Digital Human Video Generation Result | HumanVideoGenerationResultOperate.ts | - | Query digital human video generation task results | Success |

Feature Overview

🎯 Core Operations

| Feature Type | Operation Name | Description | Supported Models | |-------------|---------------|-------------|------------------| | Image Generation | Text-to-Image 2.1 | Generate images from text descriptions (synchronous) | jimeng-2.1 | | | Text-to-Image 3.0 | Use 3.0 model for text-to-image generation (asynchronous) | jimeng-3.0 | | | Text-to-Image 3.1 | Use 3.1 model for text-to-image generation (asynchronous) | jimeng-3.1 | | | Text-to-Image 4.0 | Use 4.0 model for advanced image generation (asynchronous) | jimeng-4.0 | | | Image-to-Image 3.0 | Generate new images from existing images and text prompts (asynchronous) | jimeng-3.0 | | | Text-to-Image 3.0 Result | Query text-to-image 3.0 task results | - | | | Text-to-Image 3.1 Result | Query text-to-image 3.1 task results | - | | | Text-to-Image 4.0 Result | Query text-to-image 4.0 task results | - | | | Image-to-Image 3.0 Result | Query image-to-image 3.0 task results | - | | Video Generation | Text-to-Video 720P | Generate 720P videos from text descriptions | video-3.0-720p | | | Text-to-Video 1080P | Generate 1080P videos from text descriptions | video-3.0-1080p | | | Image-to-Video 720P-First Frame | Generate 1080P videos based on image first frame | Success | video-3.0-720p | | | Image-to-Video 720P-First Last Frame | Generate 1080P videos based on image first and last frames | Success | video-3.0-720p | | | Image-to-Video 720P-Camera Motion | Generate 720P videos based on image and camera motion effects | Success | video-3.0-720p | | | Image-to-Video 1080P-First Frame | Generate 1080P videos based on image first frame | video-3.0-1080p | | | Image-to-Video 1080P-First Last Frame | Generate 1080P videos based on image first and last frames | video-3.0-1080p | | | Video Generation 3.0 Pro | Use Pro model to generate high-quality videos | Success | video-3.0-pro | | | Action Imitation | Generate videos based on reference video action imitation | Success | action-imitation | | Digital Human Features | Human Subject Detection | Detect whether images contain human subjects | - | | | Digital Human Video Generation | Generate digital human videos based on images and audio | digital-human | | | Human Subject Detection Result | Query human subject detection task results | - | | | Digital Human Video Generation Result | Query digital human video generation task results | - | | Status Query | Various Video Result Queries | Query various video generation task status and results | - |

⚙️ Parameter Configuration

• Image Dimensions: Support custom width and height, multiple aspect ratios (21:9, 16:9, 3:2, 4:3, 1:1, 3:4, 2:3, 9:16)
• Advanced Image Settings: Area settings, aspect ratio constraints, multi-image input (up to 10 images), force single image generation
• Video Duration: 1-10 seconds adjustable (depending on model support)
• Video Resolution: 720P, 1080P, custom resolution (Pro model)
• Image Style: Anime, oil painting, realistic, sketch, watercolor, etc.
• Camera Motion: Pan, tilt, zoom and other camera motion methods
• Generation Parameters: Steps, guidance scale, random seed, text influence, etc.
• Watermark Settings: Custom watermark text, position (four corners), transparency, language (Chinese/English)
• AIGC Metadata: Content producer, distributor, unique identifier and other metadata configuration
• Digital Human Configuration: Image URL, audio URL, output format, local caching settings
• File Output: Support Base64, binary, file saving, caching and other output formats
• Generation Mode: Synchronous wait or asynchronous processing
• Model Selection: Multiple Jimeng AI models available (including jimeng-4.0, digital-human, etc.)

Use Cases

🧠 AIGC Content Creation

• Automated Content Production: Batch generate daily reports, news content
• Marketing Material Creation: Automated marketing image/video workflow creation
• Creative Content Production: AIGC creative script + storyboard + video integrated solution
• E-commerce Applications: Automatic product image generation (combined with product descriptions and parameters)
• Digital Human Applications: Virtual anchors, educational videos, customer service robots, personalized broadcasts
• Multimedia Production: Integrated content production pipeline for images, text, audio, and video

🔄 Workflow Integration

• Multi-platform Publishing: Combined with Telegram, Discord and other nodes for automatic publishing
• Data-driven: Combined with Notion, Airtable and other data source nodes
• Conditional Logic: Combined with IF nodes for intelligent content filtering
• Scheduled Triggers: Combined with Cron nodes for scheduled content generation

Async Processing Mode

🔄 Synchronous vs Asynchronous Interfaces

Synchronous Interfaces (Immediate Results)

• Text-to-Image 2.1: Returns generated images immediately after task submission
• Suitable for quick generation needs, no waiting time required

Asynchronous Interfaces (Require Status Query)

• Text-to-Image 3.0/3.1/4.0: Returns task ID after submission, requires periodic status query
• Image-to-Image 3.0: Returns task ID after submission, requires periodic status query
• All Video Generation Interfaces: Returns task ID after submission, requires periodic result query
• Digital Human Feature Interfaces: Human subject detection, digital human video generation are all asynchronous interfaces
• Suitable for high-quality generation needs with longer processing time

📋 Async Processing Workflow

1. Submit Generation Task: Use the corresponding generation interface to submit a task
2. Get Task ID: Record the returned task ID
3. Status Query: Use the corresponding result query interface to periodically check task status
   • Image generation: Text-to-Image 3.0 result, Text-to-Image 3.1 result, Image-to-Image 3.0 result
   • Video generation: Various video result query interfaces
4. Get Results: Retrieve generated images or videos when task is completed
5. Optional Configuration: Configure watermarks and AIGC metadata during result query

⏱️ Task Status Description

• pending: Task submitted, waiting for processing
• processing: Task is being processed
• completed: Task completed, results can be retrieved
• failed: Task failed, check error information

🔍 Result Query Features

Image Result Query Features

• Watermark Settings: Support adding custom watermarks, choose position, transparency, language
• AIGC Metadata: Support setting content producer, distributor and other metadata information
• Multiple Return Formats: Support returning image URLs (24-hour validity) or Base64 encoded data
• Status Monitoring: Real-time monitoring of task progress and completion status

Video Result Query Features

• Multi-resolution Support: 720P, 1080P and other resolution result queries
• Multiple Generation Modes: Text-to-video, image-to-video, action imitation result queries
• Status Monitoring: Real-time monitoring of video generation progress and completion status

Technical Architecture

🏗️ Modular Design

• Resource Builder: ResourceBuilder dynamically loads image and video resource modules
• API Client: JimengApiClient encapsulates Jimeng API interaction logic
• Operation Modules: Independent image/video operation implementations, supporting extensions
• Utility Classes: Module loading, node utilities, request utilities and other auxiliary functions

🔧 Core Features

• Type Safety: Complete TypeScript type definitions
• Error Handling: Comprehensive error handling and logging mechanisms
• Async Support: Support for both synchronous and asynchronous generation modes
• Status Management: Real-time task status query and monitoring

Authentication

🔐 Using Jimeng API Authentication Information

This plugin authenticates using Jimeng API's AccessKeyID and SecretAccessKey.

✅ How to get authentication information:

1. Visit Jimeng official website and log in to your account;
2. Go to API management page, create or get API keys;
3. Copy the AccessKeyID and SecretAccessKey values;
4. Fill in the authentication information in n8n node configuration to complete authorization.

🔒 Security Notes

• Please keep your authentication information secure and avoid leakage
• It is recommended to rotate API keys regularly to ensure security
• It is recommended to verify authentication validity in a test environment first
• Authentication information has a time limit and needs to be updated regularly

Troubleshooting

❌ Authentication Configuration Issues

Problem: When configuring Jimeng Credentials in n8n, you encounter "Couldn't connect with these settings" or "Bad request - please check your parameters" errors, and cannot see the "Connection tested successfully" prompt.

Cause: The authentication test endpoints for Volcengine Jimeng API require specific permissions that regular users may not have access to.

Solutions:

1. Ignore authentication test errors: This is normal behavior. Authentication will be validated during actual API calls
2. Use the node directly: After configuring authentication information, use the Jimeng node directly for image or video generation
3. Verify authentication information: Ensure AccessKeyID, SecretAccessKey, and Region are configured correctly
4. Check permissions: Ensure your Jimeng account has the corresponding API call permissions

Verification method:

• Try running a simple image generation task
• If the task executes successfully, the authentication configuration is correct
• If the task fails, please check if the authentication information is correct

🔧 Common Issues and Solutions

Task Status Query Issues

Problem: Unable to query task status or get results for async operations.

Solutions:

1. Check Task ID: Ensure the task ID is correctly passed from the generation interface
2. Verify Interface Match: Use the correct result query interface for the corresponding generation interface
3. Check Task Status: Ensure the task is not in "failed" status before querying results
4. Retry Mechanism: Implement retry logic for status queries with appropriate intervals

Generation Parameter Issues

Problem: Generation fails or produces unexpected results.

Solutions:

1. Parameter Validation: Check if all required parameters are provided
2. Model Compatibility: Ensure parameter values are compatible with the selected model
3. Image Format: For image-to-image operations, ensure input images are in supported formats
4. Size Limits: Check if image/video dimensions are within supported ranges

API Rate Limiting

Problem: API calls are being rate limited or rejected.

Solutions:

1. Reduce Frequency: Implement delays between API calls
2. Batch Processing: Group multiple requests when possible
3. Error Handling: Implement proper retry logic with exponential backoff
4. Monitor Usage: Track API usage to stay within limits

Watermark and Metadata Issues

Problem: Watermarks or AIGC metadata not appearing correctly in generated content.

Solutions:

1. Check Watermark Settings: Verify watermark text, position, and transparency settings
2. Language Support: Ensure watermark language matches the content language
3. Metadata Format: Check if AIGC metadata fields are properly formatted
4. Result Query Configuration: Ensure watermark and metadata are configured during result query

Async Task Timeout Issues

Problem: Async tasks taking too long or timing out.

Solutions:

1. Check Task Status: Monitor task status regularly to avoid timeouts
2. Adjust Timeout Settings: Increase timeout values for complex generation tasks
3. Task Priority: Check if there are high-priority tasks in the queue
4. Resource Availability: Ensure sufficient resources are available for generation

Compatibility

• Minimum n8n version: 1.0.0
• Node.js version: >=22.16
• Tested version: n8n 1.0.0+

Resources

• n8n Community Nodes Documentation
• Jimeng Official Website
• n8n Workflow Templates

Note: Using this node requires a valid Jimeng account and corresponding API permissions. Please ensure compliance with Jimeng's terms of use and API call limits.