# Web UI vs Comfy UI: How Should AI Painting Beginners Choose?

For those interested in AI painting, you must have heard of Web UI and Comfy UI.

So what are the differences between these two? 

How should we choose between them?

This article will answer your questions and clear up any confusion. Understanding Web UI and Comfy UI, this is all you need to know!

## Similarities and Background

Web UI and Comfy UI are both essentially derived from Stable Diffusion, but in practice, they have each taken on their unique forms. 

If we use a desktop computer as an analogy, Web UI is like an all-in-one machine with full functionality and ease of use, while Comfy UI is more akin to a computer that can be freely assembled according to personal needs.

Both are third-party tools developed to provide users with a more convenient image generation experience.

Notably, Comfy UI has already received official recognition, undoubtedly adding a bright spot to its promotion among the user community.

## Web UI
![webui.jpg](https://api.comfyuiweb.com/uploads/webui_8de160c553.jpg)

### Advantages of Web UI

- The appeal of Web UI lies in its simple operation and intuitiveness. As soon as you open the interface, users can immediately see a clear visualization of the operation area, allowing even complete beginners to quickly get started and easily understand various functions.

- Furthermore, Web UI integrates a plethora of pre-developed tools, saving users the trouble of searching for them and allowing them to use them directly, significantly shortening the learning curve.  

- What's more noteworthy is that due to Web UI's high popularity, the tutorials and learning resources based on it are exceptionally abundant, allowing users to continuously grow and share their learning experiences with others through the process of learning and exchanging.

### Disadvantages of Web UI  

- However, Web UI is not without flaws. Its primary issue lies in its extremely high requirements for computer configurations. Take the newly released SDXL model as an example; compared to the previous 1.5 model, it supports a wider range of styles, but this also means it has more stringent hardware requirements.

- To run the SDXL model smoothly, users' computers need at least a 4060 or higher graphics card, which can be quite costly.

- Moreover, Web UI often encounters VRAM errors during use. If any step runs poorly, it will report an error, which significantly impairs the user experience.

- More regrettably, Web UI's author updates at a relatively slow pace, meaning users may not be able to enjoy the latest features and optimizations.

## Comfy UI  
![comfyui_screenshot.png](https://api.comfyuiweb.com/uploads/comfyui_screenshot_77d66e0aac.png)

### Advantages of Comfy UI

- Comfy UI stands out in the image generation field with its unique advantages. Firstly, it has significantly lower computer configuration requirements, undoubtedly providing more choices for users. Even computers with just a 2060 graphics card can smoothly run the SDXL model, allowing more users to experience the allure of image generation.

- Secondly, Comfy UI's operating mechanism is more robust. During use, even if an error occurs in one step, it will not interrupt the entire process. It will only stop running at the point of error, saving users a considerable amount of time and effort, and improving work efficiency.

- Furthermore, Comfy UI's flexibility is also a significant highlight. Users can freely assemble workflows according to their needs. In contrast, while Web UI's workflow also offers convenient operation, its fixed nature limits users' customization space. Comfy UI, on the other hand, allows users to simultaneously use multiple large models, and as long as the workflow has run once and the parameters haven't changed, there's no need to recalculate, significantly speeding up the image generation process.

- Moreover, for users with relatively fixed work content, Comfy UI provides an opportunity to continuously optimize and refine the workflow. Through repeated use and adjustment, users can continuously improve the quality of the workflow, achieving more efficient and precise image generation.

### Disadvantages of Comfy UI

- Its learning curve is relatively steep, and first-time users may feel a bit lost and unsure where to start.  

- Additionally, during use, Comfy UI may also encounter various error messages, requiring users to have some technical ability and patience to troubleshoot and resolve issues.

- At the same time, users still need to find suitable components themselves to assemble the workflow, undoubtedly increasing the difficulty and learning cost of use.

## Conclusion

While Web UI is a good starting point, Comfy UI is undoubtedly a tool worth your in-depth learning and mastery. 

Through continuous learning and practice, you will be able to fully leverage Comfy UI's advantages, achieving more efficient and precise image generation.

This article compares and contrasts two popular tools used for AI image generation - Web UI and Comfy UI. It explores their similarities, backgrounds, advantages, and disadvantages to help beginners in AI painting decide which tool might be more suitable for their needs.

webui-vs-comfyui.webp

Web UI vs Comfy UI: How Should AI Painting Beginners Choose?

The ComfyUI Snapshot Manager is a powerful feature of ComfyUI Manager that focuses on managing different custom nodes and environments within your ComfyUI projects. This functionality is essential for anyone looking to streamline their workflow and maintain organization in complex projects.

### What is ComfyUI Snapshot Manager?

ComfyUI Snapshot Manager is a powerful tool designed to simplify the process of managing model snapshots in ComfyUI projects. It allows you to easily create, restore, and manage snapshots of your models, ensuring that you can quickly revert to a previous state if needed.

### What Does the Snapshot Manager Do?
The Snapshot Manager is designed to help you efficiently manage various aspects of your ComfyUI setup, including:

- **Custom Nodes**: Easily create, manage, and revert to different versions of custom nodes that you’ve integrated into your projects. This is particularly useful when experimenting with new nodes or configurations.

- **Environment Management**: Keep track of different environments for your models. This allows you to switch between setups seamlessly, ensuring that you can test different configurations without losing your previous work.

### Key Benefits of Using the Snapshot Manager

1. **Version Control for Custom Nodes**:
   - You can create snapshots of your custom nodes at different stages.
   - This makes it easy to revert to a previous version if something goes wrong.

2. **Environment Flexibility**:
   - Manage multiple environments for your projects.
   - Switch between different setups quickly, which is great for testing and development.

3. **Reduced Risk of Errors**:
   - By using snapshots, you can experiment with new configurations without the fear of permanently altering your working setup.
   - If a new node causes issues, simply restore the last working snapshot.

4. **Enhanced Collaboration**:
   - When working in a team, the Snapshot Manager helps ensure everyone is on the same page.
   - Team members can easily access and restore the same snapshots, maintaining consistency across projects.

### How to Use ComfyUI Snapshot Manager

Using ComfyUI Snapshot Manager is straightforward. Simply follow these steps:

1. **Install the tool**: 

To install ComfyUI Manager along with ComfyUI, you can follow these steps:

a. **Open a Command Prompt** and navigate to your ComfyUI custom_nodes folder.
b. **Run the command**:
   ```
   git clone https://github.com/ltdrdata/ComfyUI-Manager.git
   ```
c. **Restart ComfyUI** - you will now see Manager has been added to your ComfyUI.
2. **Open Comfyui manager**: Click on the "Manager" button to open the comfyui manager panel.
![comfyui-click-manager-button.png](https://api.comfyuiweb.com/uploads/comfyui_click_manager_button_7660513fee.png)
3. **Open snapshot manager**: Click on the "Snapshot Manager" button to open the snapshot manager panel.
![comfyui-snapshot-manager.jpg](https://api.comfyuiweb.com/uploads/comfyui_snapshot_manager_c29f97bc61.jpg)
4. **Create a snapshot**: Click on the "Create Snapshot" button to save the current state of your model.
![comfyui-save-snapshot.png](https://api.comfyuiweb.com/uploads/comfyui_save_snapshot_2f2e41519f.png)
5. **Manage snapshots**: View all your snapshots, including their names and creation dates, in the tool's interface.
6. **Restore a snapshot**: To revert to a previous state, simply select the desired snapshot and click "Restore".
![comfyui-restore-snapshot.png](https://api.comfyuiweb.com/uploads/comfyui_restore_snapshot_28e7011362.png)

### Conclusion

The ComfyUI Snapshot Manager is an invaluable tool for managing custom nodes and environments in your ComfyUI projects. By providing easy snapshot creation, seamless restoration, and efficient management, it empowers you to work more effectively and with greater confidence. Whether you're a solo developer or part of a team, this feature will help streamline your workflow and enhance your project management capabilities.


If you’re looking to simplify your ComfyUI experience, the Snapshot Manager is definitely worth exploring!


Citations:
https://github.com/ltdrdata/ComfyUI-Manager/actions

Struggling to keep your ComfyUI custom nodes and enviroments organized?
ComfyUI Snapshot Manager's got your back.

comfyui-restore-snapshot.png

ComfyUI Snapshot Manager: Managing Custom Nodes and Environments

Struggling to speed up your workflow in ComfyUI? I’ve been there. You want to make the most out of every shortcut, but it's easy to feel overwhelmed. Let’s cut through the noise and dive into the essential keyboard shortcuts that’ll have you working like a pro in no time.

## Essential ComfyUI Keyboard Shortcuts

Here’s a quick rundown of the most useful shortcuts:

### Selection and Navigation
- **Ctrl/Shift + Click**: Add clicked node to selection.
- **Ctrl + A**: Select all nodes.
- **Shift + Drag**: Move multiple selected nodes at the same time.
- **SpaceBar**: Move the canvas around when held and moving the cursor.

### Graph and Node Management
- **Ctrl + Enter**: Queue up current graph for generation.
- **Ctrl + Shift + Enter**: Queue up current graph as first for generation.
- **Ctrl + M**: Mute/unmute selected nodes.
- **Ctrl + B**: Bypass selected nodes.
- **Delete/Backspace**: Delete selected nodes.
- **Ctrl + Delete/Backspace**: Delete the current graph.
- **Ctrl + D**: Load default graph.

### Copy and Paste
- **Ctrl + C/Ctrl + V**: Copy and paste selected nodes.

### Visibility Toggles
- **Alt + C**: Collapse/uncollapse selected nodes.
- **Q**: Toggle visibility of the queue.
- **H**: Toggle visibility of history.

### File Operations
- **Ctrl + S**: Save workflow.
- **Ctrl + O**: Load workflow.

These shortcuts are just the tip of the iceberg, but they’ll significantly enhance your efficiency.

## Tips for Using Shortcuts or Hotkey Effectively

1. **Practice Makes Perfect**: The more you use these shortcuts, the more natural they’ll become. 

2. **Create a Cheat Sheet**: If you’re just starting out, jot down these shortcuts and keep them nearby until you memorise them.

3. **Combine Shortcuts**: Use combinations to maximise your workflow. For instance, select multiple nodes with **Ctrl + Click** and then use **Shift + Drag** to move them all at once.

4. **Explore Customisation**: Some users have expressed interest in custom shortcuts. While this isn’t standard yet, keep an eye on updates for more flexibility in the future.

## FAQs

**Q: Can I undo actions in ComfyUI?**  
A: Yes! Use **Ctrl + Z** to undo and **Ctrl + Y** to redo your actions.

**Q: Is there a shortcut for zooming in and out?**  
A: Currently, there isn’t a dedicated zoom shortcut, but you can use the mouse wheel or a touchpad gesture to zoom in and out.

**Q: How do I manage a large number of nodes?**  
A: Use **Alt + C** to collapse nodes and keep your workspace organised. This helps when you’re working with complex graphs.

**Q: Can I search for nodes quickly?**  
A: Absolutely! Double-clicking on an empty space opens a quick search for nodes. This is a fantastic way to add new elements without scrolling through everything.

## Final Thoughts

Using **ComfyUI keyboard shortcuts** can drastically improve your workflow. 

By integrating these shortcuts into your routine, you'll find yourself working faster and more efficiently.

Remember, the key is to practice and make these shortcuts a part of your creative process.

So, grab your coffee, put these tips to the test, and watch your productivity soar! 

Happy creating!

Citations:
https://www.reddit.com/r/comfyui/comments/17ec1c4/useful_comfyui_keyboard_shortcuts/

Tired of sluggish workflows? These game-changing ComfyUI keyboard shortcuts will skyrocket your productivity. 

comfyui-keyboard-shortcuts-min.jpg

ComfyUI Keyboard Shortcuts: Turbocharge Your Workflow Now!


Hey there, fellow AI enthusiasts! If you're anything like me, you're always on the lookout for the latest and greatest tools to take your text-to-image generations to the next level. Well, buckle up because I've got some exciting news that's going to blow your mind!
![new-vit-l-14-clip-l-text-encoder-finetune-for-flux-1-v0-kgtn2iad8mmd1.webp](https://api.comfyuiweb.com/uploads/new_vit_l_14_clip_l_text_encoder_finetune_for_flux_1_v0_kgtn2iad8mmd1_b0af0afb8a.webp)

Recently, a brilliant mind in the AI community, zer0int, has released a game-changing update to the CLIP-L text encoder. This new model, fine-tuned for Flux.1, boasts improved text adherence and detail accuracy. In other words, your generated images are about to look sharper and more true to your prompts than ever before!

But wait, there's more! zer0int has also provided a handy-dandy .safetensors download, making it a breeze to integrate this model into your workflow. Whether you're using Stable Diffusion, Flux, or any other text-to-image generator, this CLIP-L update is a must-have.

You can download the model: https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/tree/main

Now, I know what you're thinking: "But how does it compare to the Long-CLIP model?" Well, zer0int has got you covered there too. In a nutshell, the CLIP-L shines when it comes to shorter prompts and text-heavy tasks, while Long-CLIP excels at handling more elaborate scenes. It's like having a Swiss Army knife of text-to-image models!

So, what are you waiting for? Head over to the Hugging Face repository, grab the ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors file, and start generating some mind-blowing images! And if you're feeling generous, consider tossing a few bucks zer0int's way to help keep those AI critters fed and happy. After all, they're working hard to make our dreams of photorealistic images a reality!

## FAQs

1. **What is the difference between ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors and ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors?**
The smaller file, ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors, contains only the text encoder, which is all you need for text-to-image generation. The larger file, ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors, includes both the text encoder and the vision transformer, which is useful for other tasks but not necessary for generative AI.

2. **How do I use this CLIP-L update in my text-to-image workflow?**
Simply download the ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors file, place it in your models/clip folder (e.g., ComfyUI/models/clip), and select it in your CLIP loader. It's that easy!

3. **Will this CLIP-L update work with my existing Stable Diffusion or Flux models?**
Absolutely! This CLIP-L update is compatible with SD 1.5, SDXL, SD3, and Flux. These models all use the stock CLIP-L by default, so you can seamlessly integrate this improved version into your workflow.

## Conclusion

There you have it, folks! With zer0int's CLIP-L update, the sky's the limit when it comes to your text-to-image generations. Whether you're a seasoned pro or just starting out, this model is sure to take your creations to new heights. So, what are you waiting for? Get out there, experiment, and let your imagination run wild!

Citations:
https://www.reddit.com/r/StableDiffusion/comments/1f83d0t/new_vitl14_clipl_text_encoder_finetune_for_flux1/
https://www.youtube.com/watch?v=gCzJI4sKr1I&t=1s

Discover the transformative potential of the newly released CLIP-L text encoder fine-tuned for Flux.1. 

new-vit-l-14-clip-l-text-encoder-finetune-for-flux-1-v0-z28p7r9e8mmd1.webp

New CLIP-L Model for Flux.1

Ever wanted to train FLUX LoRAs but got stuck because of high VRAM requirements? Say hello to Flux Gym.

## UI
![fluxgym-ui.png](https://api.comfyuiweb.com/uploads/fluxgym_ui_28d0c31911.png)

## What's Flux Gym All About?

Flux Gym is a no-nonsense web UI for training FLUX LoRA models. The best part? It works with lower VRAM setups - we're talking 12GB, 16GB, and 20GB.

Here's the deal:

- It's built on the AI-Toolkit project (shoutout to @multimodalart for the slick Gradio UI)
- Under the hood, it's powered by Kohya Scripts for the actual training

## Why Flux Gym?

Look, I get it. Training FLUX LoRAs can be a pain:

- AI-Toolkit is great, but it needs 24GB VRAM. Ouch.
- Kohya Scripts are flexible, but command line? Not everyone's cup of tea.

## Key Features

- Works with 12GB, 16GB, and 20GB VRAM setups
- Dead simple web interface
- Powered by Kohya Scripts (so it's expandable)

## Getting Started

### The Easy Way: One-Click Install

1. Head over to Pinokio: https://pinokio.computer/item?uri=https://github.com/cocktailpeanut/fluxgym
2. Click, wait, done. It'll set everything up locally.

### The DIY Way: Manual Install

1. Clone the repos:
   ```
   git clone https://github.com/cocktailpeanut/fluxgym
   cd fluxgym
   git clone -b sd3 https://github.com/kohya-ss/sd-scripts
   ```

2. Set up a virtual environment:
   - Windows: 
     ```
     python -m venv env
     env\Scripts\activate
     ```
   - Linux:
     ```
     python -m venv env
     source env/bin/activate
     ```

3. Install dependencies:
   ```
   cd sd-scripts
   pip install -r requirements.txt
   cd ..
   pip install -r requirements.txt
   ```

4. Get PyTorch Nightly:
   ```
   pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
   ```

5. Download model checkpoints (check the original instructions for links)

6. Fire it up:
   ```
   python app.py
   ```

## How to Use Flux Gym

It's straightforward:

1. Enter your LoRA info
2. Upload images and add captions (use that trigger word)
3. Hit "start"

That's it. Seriously.

## FAQ

**Q: Do I need coding skills to use Flux Gym?**
A: Nope. The web UI makes it point-and-click easy.

**Q: Can I use this on a laptop GPU?**
A: If you've got 12GB VRAM or more, you're good to go.

**Q: How does this compare to other FLUX LoRA training tools?**
A: It's simpler to use but still packs the power of Kohya Scripts.

## The Bottom Line

FluxGym bridges the gap between ease-of-use and low VRAM requirements for FLUX LoRA training. It's not fancy, it's not complicated - it just works.

Want to dive deeper? Check out the full thread: https://x.com/cocktailpeanut/status/1832084951115972653

Give it a shot. Your GPU will thank you.


Citations:
https://github.com/cocktailpeanut/fluxgym

FluxGym is an open-source web UI that enables users to train Flux LoRAs on computers with LOW VRAM (12GB/16GB/20GB) support, making advanced fitness technology accessible to all.

fluxgym-ui.png

FluxGym: Low-VRAM Training GUI for flux lora

This ComfyUI node turns pictures into words using smart AI models. It's like having a robot that can describe what it sees in your photos.

## What's This Node All About?

Ever wished your computer could tell you what's in a picture? That's exactly what this ComfyUI node does.

It uses something called Visual Question Answering (VQA) to look at images and answer questions about them.

Here's the cool part: you don't have to ask each question separately. You set up a template, and the AI fills in the blanks.

For example, you might ask:
"{eye color} eyes, {hair style} {hair color} hair, {ethnicity} {gender}, {age number} years old"

The AI looks at the picture and might say:
"Brown eyes, curly black hair, Asian female, 25 years old"

It's like having a super-smart friend who's really good at describing photos.

## How Does It Work?
![vqa-2.png](https://api.comfyuiweb.com/uploads/vqa_2_2c51e1a2ba.png)

Let's break it down:

1. You give it some pictures
2. You pick an AI model (it's got a few to choose from)
3. You write a template with questions in curly brackets {}
4. The node does its magic
5. Out pops a description for each picture

It's that simple. No need to be a tech wizard.

## Why Would You Use This?

Loads of reasons:

- Describing photos for visually impaired folks
- Sorting through tons of images quickly
- Making image databases searchable
- Creating captions for social media posts
- Analyzing fashion trends in photos
- Helping with online shopping (imagine describing clothes automatically)

The possibilities are pretty much endless.

## The Techy Bits (Don't Worry, We'll Keep It Simple)

This node is built on some clever tech:

- It uses AI models from Hugging Face (they're like the supermarket of AI)
- It can work with different types of VQA models (BLIP, ViLT, GIT)
- It turns computer image data into regular pictures the AI can understand
- It measures how long it takes to do its job (handy for when you're in a hurry)

But here's the best part: you don't need to understand any of that to use it. It just works.

## How to Get Started
![vqa-3.png](https://api.comfyuiweb.com/uploads/vqa_3_db071041fc.png)

1. Make sure you've got ComfyUI set up
2. Add this node to your workflow
3. Connect an image source
4. Pick a model (start with the default if you're not sure)
5. Write your question template
6. Run it and see what happens!

It's like playing with Lego. You just snap the pieces together and see what you can build.

## FAQs

Q: How accurate is it?
A: It's usually quite good, but don't bet your life on it. It's more like a helpful assistant than a perfect oracle.

Q: Can I use this for commercial projects?
A: Check the licenses for the AI models you're using. Some are fine for commercial use, others aren't.

## Wrapping It Up

Whether you're a developer, a content creator, or just someone who likes playing with cool tech, this tool opens up a world of possibilities.

So why not give it a go? You might be surprised at what your images have to say!

reference: https://github.com/celoron/ComfyUI-VisualQueryTemplate/tree/main

This node, named "VisualQueryTemplateNode", is designed to perform Visual Question Answering (VQA) tasks on images. 

Latest News for ComfyUI

Web UI vs Comfy UI: How Should AI Painting Beginners Choose?

ComfyUI Snapshot Manager: Managing Custom Nodes and Environments

ComfyUI Keyboard Shortcuts: Turbocharge Your Workflow Now!

New CLIP-L Model for Flux.1

FluxGym: Low-VRAM Training GUI for flux lora

Comfyui VisualQueryTemplate Node for Precision Control