15 Best ComfyUI Workflows To Level Up Your Game In 2024

ComfyUI is one of the best Stable Diffusion WebUI’s out there due to the raw power it offers allowing you to build complex workflows for generating images and videos. 

But building complex workflows in ComfyUI is not everyone’s cup of tea. Especially if you’ve just started using ComfyUI. 

Thankfully, there are a ton of ComfyUI workflows out there that you can download and use for free. Since there are so many workflows out there, it’s hard to choose the best ones for your needs. 

To help you with that, I’ve compiled a list of the best ComfyUI workflows for Stable Diffusion that are perfect. 

Without wasting any further time, let’s dive straight in. 

Best ComfyUI Workflows

One thing you should know about ComfyUI is that there is no one-size-fits-all solution. Different use cases require different workflows. That’s one of the reasons why there are so many workflows for ComfyUI. 

In this list, I’ve covered some of the most popular and best ComfyUI workflows for different use cases and requirements. You’ll find ComfyUI workflows for SDXL, inpainting, SVD, ControlNet, and more down below. 

Here’s a table listing all the ComfyUI workflows I’ve covered in this list. 

1. SD1.5 Template Workflows for ComfyUI

The first one on the list is the SD1.5 Template Workflows for ComfyUI which is a multi-purpose workflow that comes with three templates. 

As evident by the name, this workflow is intended for Stable Diffusion 1.5 models and is a very beginner-friendly workflow allowing anyone to use it easily. 

It comes with three templates namely Simple Template, Intermediate Template, and Advanced Template. 

The Simple Template has a workflow for txt2img and img2img with latent & image upscaling. The Intermediate template is a bit more advanced and lets you load 2 LoRA models and 1 ControlNet model in your workflow with a hi-res fix. 

Lastly, the Advanced Template has an additional batch img2img with the ability to load multiple LoRA and ControlNet models. 

Overall, this model is a great starting point for anyone new to ComfyUI, and with each template in this workflow, you can get better at understanding and using ComfyUI. 

I used this workflow a lot when I was new to ComfyUI and trust me, this workflow helped me tremendously to understand the different ComfyUI nodes. 

2. SDXL Config ComfyUI Fast Generation

This is my current go-to workflow whenever I want to use SDXL in ComfyUI. The reason is that it’s a very clean and simple workflow and works extremely fast. 

The author of this workflow created this for people with a low vRAM configuration on their devices which is why it’s so fast. 

Since I use an RTX3050 with 4GB vRAM, I also struggle with getting fast speeds when using SDXL models. But this workflow works really well and the image generation times are very fast. 

The workflow comes in multiple versions for face fix, LORA, LCM, and more. I’ve used all the versions of this workflow and they work very well. 

In fact, most of the images you see on this website were generated using this ComfyUI workflow. 

Since this is a workflow for SDXL, you’ll need to use an SDXL checkpoint and a refiner model as well. 

Overall, I can blindly recommend this workflow to anyone who has performance issues running SDXL and wants a simple and efficient workflow. 

3. Searge-SDXL: EVOLVED

If you’re looking for an ultimate all-in-one SDXL workflow for ComfyUI, look no further than the Searge-SDXL: EVOLVED workflow. 

This workflow lets you do everything in ComfyUI such as txt2img, img2img, inpainting, ControlNet, and more. It’s very advanced and definitely not made for beginners. 

You can apply up to 5 LoRA models at once in this workflow and 5 ControlNet & Revision models as well. 

The image quality from this workflow is very good and you can generate images in a very high resolution using this. The workflow also has support for FreeU to help you get even better quality images. 

While the workflow looks very complex and overwhelming, it’s optimized very well and you will get fast image generation times. 

The author of the workflow also regularly updates the workflow with more improvements and optimizations which is always a good sign. 

If you’re someone who is well-versed with ComfyUI and wants an ultimate workflow for SDXL, then you should definitely consider using this workflow. 

4. Simply Comfy

Simply Comfy is an ultra-simple workflow made for Stable Diffusion 1.5 and 2.1. However, you can also use SDXL models that don’t need a refiner in this workflow. 

You can load a single checkpoint with two LoRA models and simple positive and negative prompts. 

I wish the workflow also had upscale nodes which would make it more complete. Nevertheless, this workflow is perfect for beginners who are new to ComfyUI or Stable Diffusion. 

The reason why I included such a simple workflow on this list is that as a beginner, this workflow will help you understand how ComfyUI works and will also encourage you to tinker around and customize it for your liking. 

5. Sytan’s SDXL Workflow

Sytan’s ComfyUI workflow is one of my favorites because of its simplicity and performance. This workflow works really well if your device has a low vRAM since it’s optimized well. 

The workflow is pretty simple with a checkpoint and refiner loaders along with an upscale model. You can use this workflow to create images and upscale them to a very high resolution. 

The workflow doesn’t let you use a LoRA model which is a letdown. But I really like how the positive prompt is broken down into two separate nodes for linguistic and supporting terms. 

This means you can explain your image in the linguistic prompt and then use the supporting terms to strengthen your prompt. 

Overall, Sytan’s SDXL workflow is a very good ComfyUI workflow for using SDXL models. It’s simple as well making it easy to use for beginners as well. 

6. ComfyUI Inpaint Workflow

This is an inpainting workflow for ComfyUI that uses the Controlnet Tile model and also has the ability for batch inpainting. 

The workflow also has segmentation so that you don’t have to draw a mask for inpainting and can use segmentation masking instead. 

It looks a bit complicated and overwhelming at first look but is quite straightforward. If you’ve been using ComfyUI for a while now, you will have no difficulty using this workflow. 

The workflow has notes and instructions throughout that will help you understand and use it without any difficulties. 

Overall, this is a very good ComfyUI inpainting workflow for intermediate users. 

7. SDXL ControlNet/Inpaint Workflow

If you want to do inpainting using SDXL, you’ll like this workflow which uses SDXL and ControlNet.

The workflow is very simple where you load an image, draw your mask, and begin your inpainting. 

But that’s not it. This workflow lets you change the blend percentage of your mask to give you finer control over the inpainting process. 

The workflow looks messy and all over the place but it gets the job done which is what matters the most. 

While I don’t enjoy inpainting in ComfyUI, this workflow is definitely worth giving a shot if you want to try inpainting in ComfyUI. 

8. ComfyUI Face Swap Workflow

If you want to do face swapping in ComfyUI, then this workflow is one of the simplest ones out there. 

I have a detailed guide on face swapping using Automatic1111 where I talk about using the ReActor extension. 

This workflow also uses the ReActor extension in ComfyUI for face swapping. 

With this workflow, you just have to upload your source and target image and that’s it. No need for prompting or choosing models. 

The workflow is very fast as well and does the face swapping very quickly. It also has a face restore node which fixes the blurriness you get during face swapping in Stable Diffusion. 

For basic face swapping in ComfyUI, you should use this as your go-to workflow as it is simple, fast, and easy to use. 

9. ComfyUI Workflow – SDXL Face swap with Reactor

If you want a bit more advanced face swapping using SDXL, then you should check out this workflow. 

This ComfyUI workflow also uses ReActor for face swapping but also has a face detailer and denoiser which gives better and more detailed outputs. 

The workflow also has nodes for adding prompts but they don’t have much strength on the output image.

Overall, I like this workflow and found the images generated using it more detailed than the previous face swapping workflow. However, the difference between the two wasn’t very significant. 

I’d recommend trying out both the face swapping workflows and deciding which one works better for you. 

10. Create and Swap – ComfyUI Workflow

You might be wondering how many face swapping workflows am I going to mention on this list, right? 

Well, this ComfyUI workflow is different in the sense that it’s a txt2img workflow where you generate an image and then swap a face on it. 

The previous workflows shared above are img2img workflows where you swap a face on an existing image. 

So, if you want to generate an image and then swap faces onto it, then this is the workflow for you. 

Again, it uses the ReActor extension for face swapping and is very simple to use. The workflow works with both Stable Diffusion 1.5 and SDXL models that don’t need a refiner model. You can also load a LoRA model in the workflow. 

The image generation and the face swapping are very fast in this workflow as it’s quite straightforward and not complicated. 

If you want a workflow that replicates the txt2img face swapping in Automatic1111, then this one is perfect for you. 

11. UltraUpscale

Not all ComfyUI workflows have upscaling in them so you pretty much have to upscale images in a separate workflow. 

The UltraUpscale is the best ComfyUI upscaling workflow I’ve ever used and it can upscale your images to over 12K. 

It’s insane how good it is as you don’t lose any details from the image. The workflow uses SAF (Self-Attention-Guidance) and is based on Ultimate SD Upscale. 

The best part about this workflow is that it works flawlessly without any errors even if you have a low vRAM. 

If you’re wondering how good the images turn out to be from upscaling workflow, check out this dragon image shared by the author: 

The details are just insane and you can make this your go-to workflow for upscaling images.

12. ComfyUI Txt2Video with Stable Video Diffusion

If you want to use Stable Video Diffusion in ComfyUI, you should check out this txt2video workflow that lets you create a video from text. 

The workflow first generates an image from your given prompts and then uses that image to create a video. You can create 14fps or a 25fps video depending on the SVD model you use. 

Using Stable Video Diffusion requires a high vRAM and this workflow works best if you have atleast 8GB of vRAM. 

Since Stable Video Diffusion is still new, you cannot create longer videos using this workflow as the SVD model gives bad output if you increase the video length. 

Nevertheless, this is a very simple and straightforward workflow for using Stable Video Diffusion in ComfyUI. 

13. AnimateDiff Video to Video

This is a video-to-video workflow for ComfyUI that works with ControlNet and comes with features such as background replacement, subject replacement, body enhancements, and more. 

While this workflow is powerful, it’s definitely overwhelming to look at and is certainly not for beginners. 

There are a ton of nodes for masking, upscaling, face detailing, and more. You’ll have to install a lot of custom nodes for this workflow to work properly. 

Overall, I still think it’s one of the best video-to-video workflows for ComfyUI due to the results it can produce despite it being very complicated. 

14. Video to Video with Face Swap in ComfyUI

This is yet another face swapping workflow for ComfyUI but instead of swapping faces in images, you can swap faces on a video using this workflow. 

The workflow uses ControlNet models for preserving the motion of the original video and AnimateDiff to keep the animation stable. 

It also uses ReActor for face swapping and face upscaling to preserve the face details. The workflow also has an option to enable IP Adapter to get a more accurate face but it will greatly impact the performance if you don’t have a powerful machine. 

For video-to-video face swapping, this workflow is surprisingly simple and can be used even by intermediate ComfyUI users. 

15. Old Photo Reimagine – Restoration

The last workflow I wanted to share on this list is something you will love if you want to restore your old family photos. This workflow can restore old photos flawlessly and bring back those memories. 

The workflow uses ControlNet and ReActor for face restoration and the results are very good. 

It’s also very easy to use as it doesn’t require any complicated setup. You’ll need ControlNet depth, lineart, and openpose models to run this workflow properly. 

Each of these models helps preserve the details and pose of the original image you want to restore. 

You can also enter prompts in the workflow to describe your image in detail so that the restored image looks good. But you don’t have to overcomplicate the prompts in order to avoid messing up the output. 

Overall, I find this workflow great at restoring old photos and it’s quite simple to use as well.

How To Use ComfyUI Workflows

If you’ve never downloaded ComfyUI workflows, you might be wondering how to download and use the workflows listed above. 

Don’t worry, it’s very simple. 

To use any ComfyUI workflow, you just need to download the workflow file and drag it onto your ComfyUI environment. 

Alternatively, you can also click on the Load button in ComfyUI and select the downloaded .json file to load the workflow. 

While the majority of workflows can be loaded on ComfyUI this way, there are some workflows that need to be installed as custom nodes. 

Before downloading any workflow, be sure to check its description to see any specific instructions for using the workflow. 

Where To Find ComfyUI Workflows

After seeing all the ComfyUI workflows listed above, you might be wondering where to find more workflows like these. 

Well, there are many websites out there where you can find workflows for ComfyUI. But here are my top three websites that I recommend: 

• Civitai
• Comfy Workflows
• OpenArt

You can find tons of workflows on these websites for ComfyUI along with a showcase of images created using the workflows. 

You should explore and try different ComfyUI workflows but I’d recommend having atleast two go-to workflows that you can rely on most of the time. 

Conclusion 

So, that concludes our list of the best ComfyUI workflows you should try out. I’ve covered workflows for the majority of Stable Diffusion use cases such as txt2img, img2img, inpainting, ControlNet, face swapping, and more. 

Whether you’re a beginner or an expert, these workflows are quite reliable and can help you produce high-quality images. 

If you have any questions regarding the workflows shared on this list, feel free to drop your questions down below.