Hey, you creative minds! Are you ready, your Stable diffusion Taking the picture to the next level? Then let's talk about ComfyUI speak, the surface that took the scene by storm! Away from the rigid tab system of other tools, towards full control with a Node-based system. This may seem a bit intimidating at first, but believe me: Once inside, you'll love it!
The installation: How ComfyUI comes to your computer
One of the biggest advantages of ComfyUI is how uncomplicated the installation can be, especially compared to some older tools such as Automatic1111. The easiest is the Portable version for Windows:
- Download the portable version: Search the official GitHub page for the direct download link for the ‘standalone’ or ‘portable’ version (often a huge
.ziparchive). - Unpacking: You need a program like 7-Zip (if you don't already have it) to unpack the archive. Choose a location with plenty of space.
- Add models: This is important! Get your stable diffusion Checkpoint model (
.ckptor.safetensors-File, e.g. SDXL or v1.5) and puts it in the folderComfyUI\models\checkpoints. - Start: In the unpacked folder you will find a batch file (e.g.
run_nvidia_gpu.batorrun_cpu.bat). Double click on it. A console window will open. - Let's go! After a short time, your default browser should open and ComfyUI at the address
http://127.0.0.1:8188display. Keep the console window open while you're using it!
For Mac (Apple Silicon) or manual installations, there are other steps (Homebrew, PyTorch installation, cloning the Git repository) that are somewhat more technical. But the portable version makes getting started super easy!
The node magic: The main features of ComfyUI
The central point in ComfyUI is the workflow, which is made up of individual Nodes exists. Each node is a small step in your image generation process.
The workflow for image generation (text-to-image)
When you start ComfyUI for the first time, you will already see a Basic workflow (Text-to-Image) with the most important nodes:
- Load checkpoint: Here you select your main model (checkpoint).
- CLIP Text Encode (Prompt): There are usually two of them here.
- One for your positive prompt (What you want to see).
- One for the Negative prompt (what you not I want to see).
- Sampler (KSampler): This is the ‘engine’ that performs the actual generation. Here you can set important parameters such as:
- Seed: The starting number for the noise.
- Steps: The number of steps for generation.
- CFG Scale: How much the model should pay attention to your prompt.
- Sampler Name & Scheduler: The methods for the denoising process.
- UAE Decode & Save Image: The last steps to convert the latent image (from the sampler) into an actual, storable image.
You connect these nodes to lines that control the flow of data (the pipeline) to define. When you are on "Queue Prompt" If you click, the process goes through gradually. The best: ComfyUI is very efficient and stores interim results (Latent reuse), which often leads to faster generation with small changes!
Extended control by nodes
This is where ComfyUI shows its greatest advantage: Granular control! You can customize, add, or omit each step.
- Custom nodes: Through the ComfyUI Manager (a must!) you quickly install thousands of extensions. These add new nodes that include functions such as ControlNet, Face detailer, Enable upscaling methods, image editing, or complex logic.
- Mix & Match: You can connect inputs and outputs from different nodes in a way that would be unthinkable in a normal tab-based UI. For example, do you want two different LoRAs Apply to different parts of your prompt? No problem, just add more nodes and connections!
Beyond the pictures: Animations and more
Although the focus is on image generation, ComfyUI is also the first choice for complex tasks such as:
- Animation/video generation: Special custom nodes (e.g. AnimateDiff or video nodes) allow you to control the generation over time to create smooth animations or videos.
- Batch processing: You can set workflows to automatically generate a whole series of images with varying parameters (e.g. different seeds or LoRAs).
ComfyUI vs. Automatic1111: The advantages
ComfyUI and the leading tool for a long time Automatic1111 WebUI (A1111) pursue different approaches. Here's where ComfyUI shines:
| feature | Automatic1111 (A1111) | ComfyUI |
| usability | Very beginner friendly, tabular UI. | Steep learning curve, but extremely customizable. |
| Control & flexibility | Predefined workflows, extensions. | Maximum control At the node level, infinite workflows. |
| Performance/efficiency | Can become unstable with complex tasks and low VRAM equipment. | VRAM more efficient and faster (especially through latent reuse). |
| stability | May be error-prone. | Very stable, Because the process is modular. |
| Share workflows | Information usually only in the metadata (PNG info). | The entire workflow can be .json into the generated Image saved (Drag & Drop to restore it!). |
In short:
- A1111 is great if you want to quickly generate simple images or inpainting/outpainting with one click – it's a great Starter tool.
- ComfyUI is the Turbo switches for advanced users. It takes some training, but rewards you with Unmatched flexibility and the ability to build complex, multi-stage pipelines (e.g. ControlNet cascades, upscaling workflows) that A1111 cannot offer in this form. If you go into detail and really If you want to understand how stable diffusion works, ComfyUI is your way.
Give ComfyUI a chance! The community provides countless ready-made workflows. Start small, load a workflow, and then gradually replace individual nodes. This is the fastest way to learn and will soon create your own complex AI creations.
This YouTube video gives you a good introduction to installing and using ComfyUI:
ComfyUI: Installation ⁇ Stable Diffusion ⁇ German ⁇ English Subtitles - YouTube
Community workflows
Community Workflows for ComfyUI: The power of cooperation
ComfyUI has established itself as one of the most powerful and flexible platforms for generative image editing and AI workflows. But what really makes ComfyUI extraordinary is not just the software itself, but the vibrant community behind it. An essential part of this community are the so-called community workflows, i.e. prefabricated workflows that creators share with others and which make it much easier to get started with ComfyUI.
What are Community Workflows?
Community workflows are stored configurations of nodes in ComfyUI that automate a specific task or creative process. Instead of manually assembling each node individually, users can download preconfigured workflows and use them immediately. These can be as simple as a basic text-to-image generator or as complex as elaborate multi-level image processing pipelines with custom nodes and advanced settings.
Why Community Workflows are Important
Ease of entry for beginners
For newcomers to ComfyUI, the abundance of possibilities can be overwhelming. Community workflows provide a structured entry point. Beginners can download a ready-made workflow to experiment with while learning from the architecture of experienced creators. This significantly lowers the entry hurdle and makes ComfyUI more accessible.
Time savings for professionals
Even experienced users benefit enormously. Instead of having to start all over again with each new project, established workflows can serve as a starting point. This allows creatives to focus on the artistic vision rather than reconfiguring technical details over and over again.
Knowledge exchange and innovation
Community workflows are a form of knowledge transfer. When experienced users share their workflows, they implicitly document best practices and innovative approaches. Other users can analyze them, understand how certain effects are achieved, and then further develop these techniques. This leads to continuous innovation within the community.
Where to Find Community Workflows
There are several platforms and places where the ComfyUI community shares their workflows:
GitHub Repositories It is a primary source. Many developers host their workflows there, often with detailed documentation and installation instructions.
Reddit communities Such as r/StableDiffusion and specialized ComfyUI subreddits are gathering places where users present their workflows and receive feedback.
Discord server The ComfyUI community offers real-time discussions and regular workflow sharing sessions.
Specialized platforms Like CivitAI and Hugging Face, workflow collections have begun to integrate where they are hosted alongside models and LoRAs.
How to Use Community Workflows
The use is usually simple: A workflow is typically shared as a JSON file. This can then be loaded in ComfyUI by import. However, there are a few points to keep in mind:
Check dependencies: Many workflows require specific custom nodes that may need to be installed additionally. A good workflow description should list all dependencies.
Preparing models: Depending on the workflow, specific checkpoint models or other assets are required. These must be present in the correct ComfyUI directories.
Customize and experiment: A loaded workflow is not sacred. The best practice is to experiment with it, adjust parameters and adapt the workflow to your own requirements.
Best practices for workflow creators
If you want to create your own workflows and share them with the community, you should follow some basic principles:
Documentation is essential. A clear description of what the workflow does, what inputs are expected and what expenses you receive is priceless. Likewise, all required custom nodes and models should be listed.
Modularity helps: Workflows divided into logical segments are easier to understand and customize.
A meaningful name and meaningful parameters make workflows more intuitive to use.
Sample screenshots or demo videos immediately show potential users what to expect.
The Future of Community Workflows
Community-driven development is a big reason for ComfyUI's success. As popularity grows, workflows are likely to become even more central, both as a learning resource and as production tools. Greater standardization and better integration tools will make it even easier to share and use workflows in the future.
conclusion
Community workflows are more than just shortcuts for ComfyUI users, they are the backbone of a vibrant, collaborative community. Whether you're just starting out or you're already an experienced user, taking advantage of the diversity and quality of these workflows can transform your work. At the same time, we encourage experienced creators to document and share their workflows. And the best part: Each workflow that is shared opens up new possibilities for someone else.
The ComfyUI community shows once again: Collaboration and knowledge sharing drive innovation and make technology more accessible to all. Take a look at what others are doing with it, get some inspiration and then create your own workflows.
ComfyUI Official Examples Repository
The official sample repository with various workflows. The generated images contain metadata that can be loaded directly into ComfyUI.
cubiq’s ComfyUI workflows
A well-documented repository with easy-to-understand workflows, divided into categories. Ideal for beginners to intermediate users with basic workflows and advanced experiments.
Comfy-Org workflow templates
Official template workflows of the Comfy organization with standardized workflows and best practices.
Consume-ComfyUI workflows
A collection of basic workflows that serve as building blocks for larger workflows. Includes workflows for SDXL Turbo, Lightning, video creation and inpainting.
aimpowerment’s ComfyUI workflows
A collection of ComfyUI workflows in JSON format.
ComfyUI Wiki Workflows
A central wiki page with workflow examples sorted by categories such as Text2Img, Img2Img, Upscale, ControlNet and more.
These links provide you with a great entry point to discover and use different community workflows!
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