deepseek-janus-pro-7b

Running DeepSeek Janus-Pro 7B on Mac Using ComfyUI

Anas Mohammad

Jan 29, 2025 • 3 min read

Unlock multimodal AI capabilities for image generation and natural language processing.

Introduction

The DeepSeek Janus-Pro 7B is a powerful multimodal AI model capable of tasks like text generation and image synthesis. This guide walks you through running it on macOS using ComfyUI, a flexible interface for AI workflows.

Prerequisites

Hardware Requirements:
- Apple Silicon (M1/M2/M3) recommended for optimal performance.
- 16GB+ RAM and 10GB+ free storage.
Software Setup:
Install Ollama (for LLM management):

brew install ollama

Start the Ollama service:

ollama serve

Install Python and pip:

brew install python

Install Homebrew (macOS package manager):

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Step-by-Step Installation

1. Install ComfyUI

Use Homebrew to install ComfyUI:

brew install comfyui

2. Install the Janus-Pro Plugin

Install dependencies:

cd ~/.config/ComfyUI/custom_nodes/ComfyUI-Janus-Pro && pip install -r requirements.txt

Move the plugin to ComfyUI’s custom_nodes directory:

mv ComfyUI-Janus-Pro ~/.config/ComfyUI/custom_nodes/

Clone the plugin repository:

git clone https://github.com/CY-CHENYUE/ComfyUI-Janus-Pro.git

3. Download the Model

Use Ollama to fetch Janus-Pro 7B:

ollama pull deepseek-ai/janus-pro-7b

4. Running ComfyUI

Text Interaction:
Test the model’s NLP capabilities via Ollama in a terminal:

ollama run deepseek-ai/janus-pro-7b "Explain quantum computing in simple terms."

5. Generate Images:

Use the web UI to create images with prompts like:

generate_image(prompt="a futuristic city at sunset", num_images=4)

6. Start ComfyUI:

comfyui

Access the interface at http://localhost:8188.

7. Testing the Workflow

Image Generation Test:
In ComfyUI’s interface, input a prompt (e.g., “a serene mountain landscape”) and verify output quality.
Text Response Test:
Run:

ollama run deepseek-ai/janus-pro-7b "What are the ethical implications of AI?"

Ensure coherent, context-aware responses.

Troubleshooting Tips

Ollama Errors: Ensure the service is running with ollama serve.
Plugin Issues: Confirm the plugin is in ~/.config/ComfyUI/custom_nodes/.
Performance: Close background apps to free up RAM for larger workflows.

Expanded Guide: Advanced Tips & Use Cases for DeepSeek Janus-Pro 7B on macOS
Optimize performance, troubleshoot issues, and explore creative workflows.

Performance Optimization

Leverage Apple Silicon (M1/M2/M3):
Batch Processing:
Generate multiple images/text responses in parallel to save time:

generate_image(prompt="cyberpunk cityscape", num_images=8, batch_size=4)

Reduce memory usage with 4-bit quantization (via bitsandbytes):

pip install bitsandbytes

Load the model with:

model = AutoModelForCausalLM.from_pretrained("deepseek-ai/janus-pro-7b", load_in_4bit=True)

Enable Metal Performance Shaders (MPS) for GPU acceleration:

# In your Python script or ComfyUI config:  
import torch  
torch.device("mps")  # Prioritize Metal GPU over CPU

Advanced ComfyUI Workflows

Hybrid Prompts:
Combine text and image inputs for richer outputs (e.g., describe an uploaded image and generate variations).
- Use the Load Image node in ComfyUI to feed reference images.
- Chain nodes: Text Prompt → Janus-Pro Model → Image Generator → Save Output.
Custom Nodes:
- Upscaling: Integrate ESRGAN or SwinIR nodes to enhance image resolution post-generation.
API Integration:
Run Janus-Pro 7B as a local API server for external apps:

ollama serve &  # Run Ollama in the background  
curl http://localhost:11434/api/generate -d '{  
  "model": "deepseek-ai/janus-pro-7b",  
  "prompt": "Design a logo for a sustainable energy startup"  
}'

ControlNet: Add pose/structure control to image generation. Install via:

git clone https://github.com/comfyanonymous/ControlNet-v1-1_node.git ~/.config/ComfyUI/custom_nodes/

Troubleshooting Deep Dives

Common Errors:
- CUDA Out of Memory: Reduce batch size or image resolution (e.g., 512x512 → 256x256).
- Plugin Failures: Reinstall dependencies with pip install -r requirements.txt --force-reinstall.
Logging & Debugging:
Enable verbose mode for Ollama:

ollama serve --verbose

Monitor ComfyUI logs in real-time:

tail -f ~/.config/ComfyUI/comfyui.log

Creative Use Cases

Design Prototyping:
Generate UI/UX mockups:

Prompt: "A minimalist mobile app dashboard for tracking carbon emissions, using shades of green and blue."

Document Analysis:
Use Janus-Pro’s NLP capabilities to summarize PDFs:

ollama run deepseek-ai/janus-pro-7b "Summarize this document: $(cat research_paper.pdf)"

Storyboarding:
Generate sequential images for narratives:

prompts = [  
  "A spaceship lands in a medieval village",  
  "Villagers gather around the spaceship, awestruck",  
  "An alien emerges, holding a futuristic artifact"  
]  
for prompt in prompts:  
    generate_image(prompt=prompt, style="cinematic")

Security & Maintenance

Model Updates:
Backup Workflows:
Save custom ComfyUI node graphs to JSON for reuse:

File → Save Workflow → my_workflow.json

Isolation with Virtual Environments:
Avoid dependency conflicts using venv:

python -m venv comfyenv  
source comfyenv/bin/activate  
pip install -r requirements.txt

Pull the latest Janus-Pro version periodically:

ollama pull deepseek-ai/janus-pro-7b

Conclusion

By following this guide, you’ve enabled DeepSeek Janus-Pro 7B on macOS for both creative and analytical tasks. Use ComfyUI’s node-based interface to design custom workflows or integrate the model into applications via Ollama’s API.

Community Resources

Plugins & Extensions:
- ComfyUI Node Gallery
- Ollama Model Library
Forums & Support:
- r/LocalLLaMA (Reddit) for troubleshooting.
- DeepSeek Discord for model-specific queries.

By mastering these advanced techniques, you can transform your Mac into a versatile AI workstation, balancing creativity with technical precision. 🎨🔧

Unleash the potential of multimodal AI on your local machine! 🚀