What You Will Learn

• Install and configure DeepSeek Janus Pro (1B or 7B) in ComfyUI
• Use Janis Model Loader, Image Understanding, and Image Generation nodes
• Convert images into detailed, editable prompts
• Combine Janus prompts with custom text and feed them into SDXL or Flux
• Compare 1B vs 7B, troubleshoot issues, and optimize performance

Study Guide

Introduction: Unlocking Image-to-Prompt AI with DeepSeek Janus Pro in ComfyUI

Imagine you could hand an AI any image, and it would instantly give you a rich, descriptive prompt , the kind of text that could be used to generate new, similar images or fuel creative workflows. That’s the promise behind DeepSeek Janus Pro and its integration with ComfyUI. This course is your pathway to mastering these tools, starting from installation and setup, through using the nodes, to advanced prompt customization and workflow integration.
Whether you’re an artist, developer, or AI enthusiast, understanding how to convert images into actionable prompts , and then use those prompts to generate new images , opens a new dimension for creativity and productivity. This guide will walk you through every step, with hands-on examples, technical insights, and best practices, ensuring you get the most out of DeepSeek Janus Pro in your local ComfyUI environment.

What You’ll Learn and Why It Matters

By the end of this guide, you’ll be able to:

• Install and configure DeepSeek Janus Pro models in ComfyUI, either 1B or 7B.
• Employ Janus nodes to turn images into highly descriptive prompts.
• Integrate those prompts with cutting-edge image generation workflows (like SDXL, Flux, and more).
• Customize prompt generation using instructions and text concatenation for greater creative control.
• Compare model versions to make hardware-optimized choices.
• Troubleshoot common setup issues and maximize performance.

Getting Started: Core Concepts and Prerequisites

Before we dive in, let’s clarify the foundational elements:

• ComfyUI: A modular, node-based interface for generative AI workflows, especially image generation. Think of it as a visual programming language for AI art and automation.
• DeepSeek Janus Pro: An AI model designed to “see” an image and generate a detailed text prompt describing it. It also offers basic image generation from prompts.
• Nodes: In ComfyUI, nodes are functional blocks (like “load image,” “generate prompt,” or “generate image”) that you connect in a sequence (workflow) to define a process.

Section 1: Installing DeepSeek Janus Pro in ComfyUI

Let’s begin with the practical steps to bring Janus Pro into your ComfyUI setup. This involves two main tasks: installing the custom node and manually downloading the model files.

1.1 Installing the Janus Pro Custom Node
ComfyUI allows you to expand its capabilities through custom nodes. Here’s how you add Janus Pro’s functionality:

• Open ComfyUI and access the “Custom Nodes Manager.”
• Search for “comfyui-janis-pro” (case-sensitive search helps).
• Click to install the node package. This adds Janus-specific nodes to your library, such as Model Loader, Image Understanding, and Image Generation nodes.

1.2 Downloading and Placing the Janus Pro Model Files
The Janus Pro models aren’t included by default. Here’s what you need to do:

• Visit the Hugging Face page for DeepSeek Janus Pro.
• Choose the model version you want: “1B” (smaller, faster) or “7B” (larger, higher quality).
• Download the .pth (PyTorch checkpoint) model file. This file can be several gigabytes (4GB+ for 1B, larger for 7B).
• In your ComfyUI directory, navigate to the models folder.
• Create a new folder named exactly Janis-Pro (cap J, hyphen, cap P).
• Move the downloaded model file(s) into comfyui/models/Janis-Pro.

1.3 Troubleshooting Common Installation Issues

• Missing Model Files: If you see errors about missing model files, check that your Janis-Pro folder is spelled and capitalized exactly as required, and that the .pth file is present.
• Model Not Loading: Sometimes, the model may fail to load if your video RAM (VRAM) is insufficient, especially for the 7B version. Try the 1B version on lower-end GPUs.
• Slow Initial Load: Loading a 4GB+ model into memory takes time on the first run. This is normal; subsequent runs are much faster as the model stays in memory.

Section 2: Deep Dive into Janus Pro Nodes in ComfyUI

Let’s explore the three key Janus Pro nodes you’ll use:

• Janis Model Loader
• Janis Image Understanding
• Janis Image Generation

2.1 The Janis Model Loader Node
This node selects and loads the Janus Pro model version you want to use (1B or 7B).

• Drag the node into your workflow.
• Select which model you want (1B or 7B) from the dropdown.
• Connect this node to any Janus node that requires a model input.

2.2 The Janis Image Understanding Node
This is the core of image-to-prompt AI. It takes:

• An image input (from a Load Image node).
• The model (from the Model Loader node).
• An optional instruction (e.g. “Describe this image in detail,” “Describe as if for a fantasy novel”).

Example 1:
You input a photo of a cat. With the default instruction (“describe this image in detail”), the output prompt might be: “A close-up photograph of a tabby cat sitting on a windowsill, sunlight streaming through the glass.”
Example 2:
You input a medieval castle illustration and provide the instruction “Describe as if for a fantasy adventure.” The output could be: “A grand stone castle with towering spires, surrounded by a misty moat, evoking a sense of ancient magic and adventure.”

2.3 The Janis Image Generation Node
Janus Pro also offers a basic image generator. This node takes a prompt (often the one you just generated from an image) and produces a new image.

• Input the prompt you received from the Image Understanding node.
• Run the node to generate an image.

Example 1:
You describe an image of a wizard, generate a prompt, and then use the Janus Image Generation node to see what the model can recreate. The results will give you a sense of how well the prompt captures the essence of the original.
Example 2:
You generate a prompt from a landscape photograph and use it to create a stylized reinterpretation using the Janus generator , a quick way to check the prompt’s descriptive power.

Section 3: The Image-to-Prompt Workflow , Step by Step

Now, let’s build a full workflow that turns an image into a prompt, and then into a new image , either as a copy or a creative variation.

3.1 Workflow Structure Overview
A simple workflow involves the following nodes, in order:

1. Load Image: Brings your chosen image into ComfyUI.
2. Janis Model Loader: Loads your selected Janus Pro version.
3. Janis Image Understanding: Receives the image and the model, outputs the descriptive prompt.
4. Show Any: Lets you view the generated prompt text for verification or editing.
5. Text Encoder or Image Generation: Uses the prompt to generate a new image, via SDXL, Flux, or the Janus generator itself.

3.2 Node Connections and Data Flow

• Start with a Load Image node. Select your image file.
• Connect the output to the Janis Image Understanding node’s image input.
• Connect the Janis Model Loader node to the model input of the Image Understanding node.
• The Janis Image Understanding node outputs text , connect this to a Show Any node if you want to preview or manually edit the prompt.
• To use the prompt for generating a new image, connect it to a Text Encoder or directly into the prompt input of an image generation node.

Example 1:
A user drags an image of a sunset into the workflow, generates a prompt like “A vivid sunset over calm ocean waters, with orange and purple hues,” and uses it to create a stylized impressionist painting with SDXL.
Example 2:
In a product design context, you input a sneaker photo. The prompt “A modern white running shoe with blue accents, photographed on a reflective surface” is generated and then used to create marketing visuals.

Section 4: Prompt Customization , Taking Control of the Output

Janus Pro doesn’t just blindly describe images. You can influence its output with instructions and by combining its output with your own text. Here’s how to steer the AI:

4.1 Instruction Text: Guiding the Description
The Image Understanding node has an “instruction” field. The default is “describe this image in detail,” but you can get creative:

• “Describe this image as if for a fantasy novel cover.”
• “Describe this image focusing on color and mood.”
• “Describe the technical aspects, such as lighting and camera angle.”

Example 1:
Input: A portrait of a wizard.
Instruction: “Describe in the style of a role-playing game character sheet.”
Output: “A wise old wizard with a flowing gray beard, wearing a star-embroidered robe and holding a wooden staff, eyes glowing with arcane power.”
Example 2:
Input: Street photo at night.
Instruction: “Describe focusing on lighting and atmosphere.”
Output: “A dimly lit street illuminated by neon signs, shadows dancing on wet pavement, with a moody, cinematic ambiance.”

4.2 Combining Prompts with the Text Concatenate Node
Sometimes, you want to add your own keywords, style preferences, or modifiers to the AI-generated prompt. The text concatenate node (from the was node Suite) is built for this.

• Add the text concatenate node to your workflow.
• Connect your custom text (e.g. “portrait, high detail, fantasy art”) and the Janus-generated prompt as inputs.
• Set the separator (commonly a comma).
• Output is a single, combined prompt string.

Example 1:
Your custom prompt: “watercolor, soft lighting.”
Janus prompt: “A child holding an umbrella on a rainy street.”
Final prompt: “watercolor, soft lighting, a child holding an umbrella on a rainy street.”
Example 2:
You want to specify “digital art, vibrant colors” for all generated images. Use text concatenate to prepend this to every prompt from Janus.

Tips:

• Always preview the final prompt using the Show Any node before generating the image. This helps catch awkward phrasing or redundancies.
• Experiment with prompt ordering: sometimes putting your keywords before the AI’s description yields better results.
• If you want even more control, edit the prompt after it’s generated, or chain multiple text manipulation nodes.

Section 5: Comparing Janus Pro 1B and 7B Models , Choosing Wisely

You have two main choices for the Janus Pro model: 1B and 7B. Each comes with trade-offs in size, speed, and quality.

5.1 Model Size and Hardware Requirements

• Janus Pro 1B: ~4GB model file. Loads relatively quickly. Suitable for GPUs with less VRAM (8–12GB or more).
• Janus Pro 7B: Larger (multiple times the 1B size). Recommended for GPUs with more than 16GB VRAM. Initial load is slower because more data must be read into memory.

5.2 Output Quality and Performance

• 1B: Faster, uses less memory, outputs solid but sometimes less nuanced prompts. Great for quick jobs or bulk processing.
• 7B: Slower, needs more memory, but generates more accurate, detailed, and context-aware descriptions. Better for high-stakes creative work.

5.3 Choosing the Best Model for Your Workflow

• Consider your hardware first. If you don’t have 16GB+ VRAM, use 1B.
• If time is critical, 1B’s faster loads will help you iterate quickly.
• If prompt quality is paramount for a single image or a small set, and you have the resources, choose 7B.

Section 6: Integrating Janus Pro Prompts with Advanced Image Generation Models

The real power of turning images into prompts is using those prompts as input for other, more advanced image generation models. Janus Pro makes this seamless.

6.1 Using Janus Prompts with SDXL and Flux
Both SDXL (Stable Diffusion XL) and Flux are advanced text-to-image models available as nodes in ComfyUI.

• Connect the output from your Janus Image Understanding node (or from your concatenated prompt) into the text input of the SDXL or Flux text encoder.
• Make sure the prompt input is set to receive an external connection (drag the output into the text area until the green dot appears).
• Configure any additional settings (like seed, resolution, style modifiers).
• Run the workflow to generate new images based on the AI-described prompt.

6.2 Workflow Flexibility and Customization
Janus nodes are modular. You can:

• Insert them anywhere in a ComfyUI workflow to extract prompts from intermediate images.
• Chain multiple image-to-prompt-to-image cycles for iterative refinement.
• Combine Janus-generated prompts with external text, translations, or post-processing nodes.

Section 7: Real-World Applications and Practical Use Cases

Let’s ground this technology in practical scenarios:

7.1 Creative Art Generation

• Artists can use photos or sketches as inspiration, extracting prompts that are then used as seeds for entirely new artworks.
• Generate prompts from reference images, concatenate with style keywords, and produce variations in different artistic genres.

7.2 Dataset Annotation and Curation

• Turn large folders of images into descriptive text prompts for labeling, dataset creation, or search indexing.
• Combine Janus prompts with metadata for automated cataloging.

7.3 Automated Content Generation

• Marketers or bloggers can repurpose stock images by generating unique, AI-driven prompts and creating custom visuals for campaigns.
• Combine product photos with marketing copy to craft tailored ad images.

7.4 Accessibility and Documentation

• Generate alt-text for images to improve accessibility in digital products.
• Automate visual documentation by turning screenshots or diagrams into descriptive text.

Section 8: Limitations, Best Practices, and Comparison to Other Tools

While DeepSeek Janus Pro is powerful, it’s not without caveats. Awareness of its limits will let you use it most effectively.

8.1 Limitations and Considerations

• Manual Download Required: Large model files must be downloaded and placed manually; the process is more involved than auto-installing small nodes.
• Hardware Demands: The 7B model is resource-intensive; not all users can run it locally.
• Prompt Quality Variability: Prompts are generally good, but not perfect. Some may lack nuance or miss minor details, especially in the 1B version.
• Basic Image Generator: The Janus image generation node is not as advanced as SDXL, Flux, or other dedicated image models. Use it mainly for quick tests.
• Instruction Sensitivity: The accuracy and relevance of prompts can depend heavily on the instruction text you provide.

8.2 Best Practices for Maximum Results

• Always verify that your model files are correctly placed and named.
• Preview all generated prompts before using them in production workflows.
• Experiment with instructions to find the style of prompt that best matches your needs.
• For creative work, use concatenate to add your unique artistic intent to AI-generated descriptions.
• Use the 1B model for prototyping and the 7B for final production work, if hardware allows.
• Don’t expect Janus Pro to outperform cloud-based, massive models like ChatGPT at prompt generation , but appreciate its free, local, and fast operation.

8.3 Comparison with Other Prompt Generation Tools

• Janus Pro offers a local, free solution , great for privacy, speed, and cost-efficiency.
• Cloud tools (like ChatGPT with vision) may produce more elaborate prompts but require internet access and may have API costs.
• If you want to automate large batches or integrate with other ComfyUI workflows, Janus Pro is perfectly suited.

Section 9: Advanced Workflow Techniques and Automation

As you get comfortable with Janus Pro, you can start to build more complex workflows, enabling batch processing, iterative refinement, and advanced integrations.

9.1 Batch Processing

• Use loops or repeat nodes in ComfyUI to process folders of images through Janus, generating prompts for each automatically.
• Store generated prompts in a database or text files for later retrieval.

9.2 Iterative Prompt Improvement

• Chain multiple Janus Image Understanding nodes: use the output of one as the input for another, possibly with changed instructions for refinement.
• Use post-processing nodes to clean up or shorten prompts for specific use cases.

9.3 Integration with External Data

• Combine Janus prompts with metadata (e.g. location, date, category) to enrich datasets.
• Use scripting nodes to automate prompt usage in downstream applications (e.g. auto-posting to social media, captioning images on websites).

Section 10: Troubleshooting and Optimization

Even with a solid setup, you might encounter issues. Here’s how to resolve them and optimize your workflow.

10.1 Common Issues and Fixes

• Node Not Found: Double-check that the custom node package is installed and enabled.
• Model Not Loading: Ensure correct folder naming and file placement; verify VRAM availability.
• Slow Performance: Use the 1B model or close other GPU-intensive applications.
• Uninspired or Generic Prompts: Refine your instruction text or provide more specific input images.

10.2 Optimizing Workflow Speed and Output Quality

• Save frequently used instructions and prompt templates for reuse.
• Leverage the Show Any node to monitor prompt outputs live, catching issues early.
• Profile your GPU memory usage to avoid crashes or slowdowns, especially with larger models.

Conclusion: Turning Vision Into Action with DeepSeek Janus Pro and ComfyUI

You now have the roadmap: from installation and setup, through understanding and connecting nodes, to customizing, optimizing, and scaling your image-to-prompt workflows. DeepSeek Janus Pro unlocks a unique bridge between visual content and text prompts within ComfyUI, allowing you to automate, enhance, and diversify your creative and professional projects.
The keys to success are experimentation and iteration , try different instructions, combine prompts, and explore integration with advanced models like SDXL and Flux. Remember that model choice depends on your hardware and your needs for speed or quality.
By applying these techniques, you equip yourself with a powerful, local, and flexible toolset for the ever-evolving world of generative AI. Every image can become a story, a dataset entry, a creative seed , with just a few clicks and a bit of imagination.

Frequently Asked Questions

The FAQ below is designed to answer key questions about using DeepSeek Janus Pro within ComfyUI for turning images into prompts and integrating those prompts into generative AI workflows. Whether you're just getting started or seeking advanced techniques, you'll find practical guidance, troubleshooting tips, and real-world examples to help you leverage this powerful combination for creative or professional projects.

What is DeepSeek Janus Pro and how is it used in ComfyUI?

DeepSeek Janus Pro is an AI model that can be used within ComfyUI for two main purposes: generating prompts from images and generating images from prompts.
Its core functionality is analyzing an image and producing a detailed textual description, which can then be used as a prompt for another image generation model within the same workflow. This bridges the gap between visual content and text-driven image generation workflows.

How do I install the DeepSeek Janus Pro node and models in ComfyUI?

To use DeepSeek Janus Pro, start by installing the custom node via the ComfyUI Manager.
Search for "Janis Pro" and install the "comfy UI Janis Pro" node. After restarting ComfyUI, download the model files by creating a folder named "Janis-Pro" in your ComfyUI models directory. Use git clone commands from Hugging Face to download the 1B or 7B repositories. If git clone skips large files, download them manually and place them in the corresponding subfolder (e.g., "Janis-Pro/Janis-Pro-1B") to ensure proper functionality.

What are the different versions of DeepSeek Janus Pro and which one should I use?

There are two primary versions: 1B and 7B.
The 7B version is larger and generally delivers more detailed prompts, but it requires more VRAM. If your system has less than 16GB of VRAM, the 1B version is recommended for stability and speed. If you have 16GB or more, the 7B version can produce higher-quality results.

How can I generate a prompt from an image using DeepSeek Janus Pro in ComfyUI?

Set up a workflow that includes the "Janis Model Loader," "Janis Image Understanding," and "Load Image" nodes.
Connect the model and preprocessor outputs of the loader to the corresponding inputs on the image understanding node. Then connect the output of the load image node to the image input of the image understanding node. The output will be a generated text prompt, which you can view with nodes like "Show Any."

Can I use the generated prompt from DeepSeek Janus Pro with other image generation models?

Yes, you can connect the generated prompt as input to text encoder nodes in other workflows, such as SDXL or Flux.
This enables you to use the descriptive text from Janus Pro to generate similar or enhanced images using different text-to-image models, expanding your creative possibilities.

How can I combine the Janus Pro generated prompt with my own text to create a more specific prompt?

Use a text manipulation node like "Text Concatenate" from the WAS Node Suite.
This node lets you merge your custom prompt with the Janus-generated prompt, specifying a separator if desired. The result is a single, more targeted prompt that can be fed into your chosen image generation model.

How can I improve the quality or specificity of the prompts generated by DeepSeek Janus Pro?

Modify the instruction text given to the "Janis Image Understanding" node.
Instead of using the default, you can instruct the model to focus on certain elements or styles (e.g., "photo of a wizard," "portrait photo," "shot with a 50mm lens, dramatic lighting"). This encourages the model to generate prompts that better fit your project goals.

Is DeepSeek Janus Pro a replacement for dedicated prompt generation tools or techniques?

It serves as an alternative or complement, not a total replacement.
DeepSeek Janus Pro is a convenient, free, and local solution for extracting prompts from images. For complex or highly nuanced tasks, specialized AI chatbots or manual prompt engineering may still offer more control.

What is the primary function of DeepSeek Janus Pro in ComfyUI?

The main purpose is to convert images into detailed textual prompts.
This allows users to describe image content accurately and use those descriptions to drive other generative workflows or documentation processes.

Where should I install the Janus Pro models in the ComfyUI directory structure?

Create a new folder called "Janis-Pro" (case sensitive) within the "models" folder of your ComfyUI installation.
Place the downloaded model files (1B or 7B) inside their respective subfolders under "Janis-Pro" to ensure ComfyUI can locate and load them properly.

Why does the initial loading of the Janus Pro model take longer than subsequent runs?

The first load involves reading large model files (several gigabytes) into memory.
Once loaded, the model stays in memory, so future runs are much faster. This is typical for large AI models and is not a sign of a malfunction.

What is the purpose of the "Janis Image Understanding" node in ComfyUI?

This node takes an image and an instruction, and generates a descriptive prompt based on the image content.
It's the core component for turning visual input into text that can be used by other models or for annotation.

How do I connect the output of the "Janis Image Understanding" node to another node like a text encoder?

Drag a connection from the text output of the image understanding node to the text input area of your target node.
A green indicator will show that the input is now connected, ensuring the output prompt is used in the next stage of your workflow.

What does the "text concatenate" node from the WAS Node Suite do?

It merges multiple text strings into a single output string.
This is useful for combining a prompt generated by Janus Pro with your own custom instructions, enhancing specificity.

How can I give the Janus Pro model hints or specific requirements when generating a prompt from an image?

Edit the instruction text in the "Janis Image Understanding" node to include specific keywords or styles.
For example, specify "describe this as a cinematic landscape" rather than just "describe this image" to steer the output.

What is the recommended VRAM requirement for the 7B version of Janus Pro?

For the 7B version, a system with more than 16GB of VRAM is recommended.
This ensures smooth operation and prevents memory errors, especially when using other large models in the same workflow.

Can DeepSeek Janus Pro generate images from text prompts?

Yes, DeepSeek Janus Pro includes an image generation node.
However, its image generation quality is currently not as strong as leading models like Flux or SDXL. It’s best used for prompt generation, but you can experiment with its image generation capabilities for simple tasks.

What should I do if git clone skips large model files during installation?

If large files are missing after cloning, download them manually from Hugging Face.
Place these files into the correct subfolder (e.g., "Janis-Pro/Janis-Pro-7B") within your models directory. This ensures that ComfyUI can load the required data.

Can I use Janus Pro offline on my own hardware?

Yes, once you have installed the node and downloaded the models, all processing can be done locally.
This is valuable for privacy, security, and working in environments with limited internet access.

How can I troubleshoot memory errors or crashes when using Janus Pro?

If you encounter out-of-memory errors, try using the 1B model instead of 7B.
Close other applications, limit the number of large models active in your workflow, or consider upgrading your hardware if you need to run the 7B model consistently.

Can I batch process multiple images to generate prompts in ComfyUI with Janus Pro?

Yes, ComfyUI supports batch processing workflows.
Set up your workflow to accept a folder of images or use a loop node to iterate through images, sending each one through the Janus Pro pipeline to generate corresponding prompts. This is particularly useful for cataloging or dataset preparation.

How does Janus Pro compare to other prompt generation methods?

Janus Pro stands out for its free, local operation and direct image-to-prompt workflow.
However, advanced chatbots or manual prompt engineering may be preferable for highly specialized or context-dependent prompts. For most descriptive tasks, Janus Pro offers a fast and reliable solution.

Can I edit or refine prompts generated by Janus Pro before using them?

Absolutely,you can manually edit the prompt in a text node or combine it with other text using nodes like "Text Concatenate."
This flexibility lets you tailor output for specific business needs, marketing campaigns, or creative projects.

What are some practical business applications for using Janus Pro in ComfyUI?

Businesses can use Janus Pro for digital asset management, automating image cataloging, and enhancing creative workflows.
For example, e-commerce teams can describe product images for SEO, marketing teams can generate tailored prompts for consistent branding, and creative agencies can rapidly prototype ideas based on visual references.

Does Janus Pro support non-photographic images like illustrations or graphics?

Yes, Janus Pro can analyze and generate prompts from a variety of visual styles, including illustrations and digital graphics.
For best results, specify the style or context in your instruction (e.g., "describe this as a vector illustration") to guide the prompt generation.

Can I automate image-to-prompt-to-image workflows in ComfyUI using Janus Pro?

Yes, you can create automated pipelines where new images are processed to generate prompts, which are then fed into image generation models for transformation or style transfer.
This is especially useful for creative iteration, content repurposing, or building datasets for machine learning projects.

What should I do if prompts generated by Janus Pro are too generic?

Revise the instruction text to include more detail or context, and consider combining the output with your own descriptive phrases.
For example, instead of "describe this image," try "describe this image as a high-fashion editorial portrait, mention lighting and mood."

How can I share or export prompts generated by Janus Pro?

Use the "Show Any" or "Text Output" node to display the generated prompt, then copy and paste it manually, or set up a workflow to save prompts to a text file.
This makes it easy to integrate prompts into documentation, datasets, or collaborative projects.

Can I integrate Janus Pro with other AI tools or custom nodes in ComfyUI?

Yes, ComfyUI’s node-based design lets you connect Janus Pro outputs to any compatible node.
You can combine it with text encoders, style transfer models, or even external APIs for advanced workflows.

Is there a way to control the length or detail of prompts generated by Janus Pro?

Adjust the instruction text to specify the desired level of detail (e.g., "brief summary" or "in-depth description").
Experiment with phrasing to get prompts that fit your needs, whether concise or highly detailed.

How does VRAM impact performance with Janus Pro and other models simultaneously?

Running larger models (like Janus Pro 7B) in parallel with other heavy models can quickly exhaust your VRAM, causing slowdowns or errors.
Monitor your GPU usage, and consider using the 1B version or running workflows separately if VRAM becomes a bottleneck.

What should I do if the Janus Pro node is not appearing in ComfyUI?

Ensure you’ve installed the node via the ComfyUI Manager and restarted ComfyUI.
If issues persist, double-check the installation path and look for errors in the application log. Reinstalling the node can resolve common issues.

Are there any security or privacy concerns when using Janus Pro locally?

Running Janus Pro and ComfyUI locally means your data does not leave your machine.
This is beneficial for handling sensitive images or proprietary business content securely.

Can non-technical users set up Janus Pro in ComfyUI?

While some familiarity with file management and basic installation is helpful, the process is straightforward with step-by-step guides.
Community tutorials and documentation can help non-technical users install and use Janus Pro effectively.

How can I use Janus Pro to improve my team's collaborative workflows?

Teams can standardize image descriptions, automate documentation, and quickly generate creative assets from shared visual references using Janus Pro.
This streamlines communication between creative, technical, and business roles, saving time and reducing misinterpretation.

Does Janus Pro support international languages or non-English prompts?

Official support is focused on English, but you can experiment with non-English instructions for basic results.
For mission-critical or multilingual projects, consider post-processing the output or using translation nodes as part of your workflow.

What are the limitations of using DeepSeek Janus Pro in ComfyUI?

While powerful, Janus Pro’s prompts are only as good as the instruction and image quality.
Highly abstract, low-resolution, or ambiguous images may yield less useful prompts. The 7B version requires substantial hardware resources. For advanced or domain-specific prompt needs, further manual editing or complementary tools may be necessary.

Can I customize the behavior of Janus Pro within ComfyUI?

Yes, you can adjust instruction prompts, batch sizes, and combine Janus Pro with other nodes for custom workflows.
Experiment with different node arrangements and instruction styles to optimize results for your specific application.

What is the role of the "Show Any" node when working with Janus Pro?

The "Show Any" node displays outputs from other nodes, such as the text prompt generated by Janus Pro.
This makes it easy to preview, debug, or copy the output for further use in your workflow.

How can I document or backup my Janus Pro workflows in ComfyUI?

Export your node graph as a JSON file or take screenshots for documentation.
This ensures you can restore, share, or iterate on workflows as your needs evolve.

Are there best practices for naming or organizing model folders for Janus Pro?

Follow the recommended naming conventions exactly ("Janis-Pro") and keep each version (1B, 7B) in its own subfolder.
Consistent organization helps avoid loading errors and simplifies upgrades or troubleshooting.

Can I use Janus Pro for non-image data?

No, Janus Pro is specifically designed for image-to-text and text-to-image tasks.
For non-image data, look for models or tools tailored to that data type.

How can I provide feedback or request features for the Janus Pro node?

Visit the repository or community forum where the Janus Pro node is hosted (e.g., Hugging Face or GitHub).
Contributing feedback helps developers prioritize updates and improvements that matter most to users like you.