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ComfyDeploy: How ComfyUI DeepSeek_R1 Chat Node works in ComfyUI?

What is ComfyUI DeepSeek_R1 Chat Node?

A custom node for ComfyUI that integrates DeepSeek's powerful chat and instruction API, enabling seamless AI interactions within your ComfyUI workflows.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI DeepSeek_R1 Chat Node and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI DeepSeek_R1 Chat Node

A custom node for ComfyUI that integrates DeepSeek's powerful chat and instruction API, enabling seamless AI interactions within your ComfyUI workflows.

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Features

  • Dual Operating Modes

    • Chat mode with conversation memory
    • Single-turn instruction mode

  • Vision Integration

    • Support for image context through vision descriptions
    • Seamless integration with ComfyUI's visual workflows

  • Advanced Configuration

    • Customizable max token limit (up to 8192 tokens)
    • Optional reasoning display
    • Configurable chat history management
    • Built-in rate limiting protection

Installation

  1. Clone this repository into your ComfyUI custom nodes directory:
cd ComfyUI/custom_nodes
git clone https://github.com/ShmuelRonen/comfyui-deepseek-chat.git

  1. Get your DeepSeek API key:

  2. Edit theconfig.json file in the node directory:

{
    "deepseek_api_key": "your-api-key-here"
}

Important

Check API availability on this site: [DeepSeek API status](https://platform.deepseek.com/

Usage

Node Configuration

The node provides several input parameters:

  • mode: Choose between "chat" and "instruct"
  • prompt: Your input text/question
  • max_tokens: Maximum response length (1-8192)
  • show_reasoning: Toggle reasoning display
  • clear_history: Option to reset conversation
  • remember_chat: Enable/disable chat history persistence
  • vision_description: Optional image context description. This can be used to:
    • Provide image descriptions for visual context
    • Connect with image generation nodes
    • Enable vision-language tasks
    • Process image analysis results

Example Workflow

  1. Add the "DeepSeek-V3 Chat/Instruct" node to your workflow
  2. Configure the node parameters
  3. Connect it to other nodes as needed
  4. Execute the workflow

Outputs

The node provides two outputs:

  • latest_response: The most recent AI response
  • full_chat_history: Complete conversation history

Rate Limiting

The node implements a 1-second minimum interval between requests to comply with API limits.

Error Handling

  • Comprehensive error logging
  • Graceful handling of API failures
  • Clear error messages in node outputs

Technical Details

API Integration

API Endpoint: https://api.deepseek.com/v1/chat/completions
Model: deepseek-reasoner
  • Supports full chat context with message history
  • Handles authentication via API key
  • Implements rate limiting protection

File Structure

comfyui-deepseek-chat/
├── deepseek_chat_node.py
├── config.json
├── chat_history.json
└── README.md

Dependencies

  • Python 3.6+
  • requests library
  • ComfyUI environment

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Built for ComfyUI
  • Powered by DeepSeek's API
  • Inspired by community needs for AI integration in visual workflows