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<div align="center">
# ComfyUI
**The most powerful and modular diffusion model GUI and backend.**
# ComfyUI-ZLUDA
Windows-only version of ComfyUI which uses ZLUDA to get better performance with AMD GPUs.
[![Website][website-shield]][website-url]
[![Dynamic JSON Badge][discord-shield]][discord-url]
[![Matrix][matrix-shield]][matrix-url]
<br>
[![][github-release-shield]][github-release-link]
[![][github-release-date-shield]][github-release-link]
[![][github-downloads-shield]][github-downloads-link]
[![][github-downloads-latest-shield]][github-downloads-link]
[matrix-shield]: https://img.shields.io/badge/Matrix-000000?style=flat&logo=matrix&logoColor=white
[matrix-url]: https://app.element.io/#/room/%23comfyui_space%3Amatrix.org
[website-shield]: https://img.shields.io/badge/ComfyOrg-4285F4?style=flat
[website-url]: https://www.comfy.org/
<!-- Workaround to display total user from https://github.com/badges/shields/issues/4500#issuecomment-2060079995 -->
[discord-shield]: https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fcomfyorg%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total
[discord-url]: https://www.comfy.org/discord
[github-release-shield]: https://img.shields.io/github/v/release/comfyanonymous/ComfyUI?style=flat&sort=semver
[github-release-link]: https://github.com/comfyanonymous/ComfyUI/releases
[github-release-date-shield]: https://img.shields.io/github/release-date/comfyanonymous/ComfyUI?style=flat
[github-downloads-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/total?style=flat
[github-downloads-latest-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/latest/total?style=flat&label=downloads%40latest
[github-downloads-link]: https://github.com/comfyanonymous/ComfyUI/releases
![ComfyUI Screenshot](https://github.com/user-attachments/assets/7ccaf2c1-9b72-41ae-9a89-5688c94b7abe)
</div>
ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on Windows, Linux, and macOS.
## Table of Contents
## Get Started
- [What's New?](#whats-new)
- [Dependencies](#dependencies)
- [Setup (Windows-Only)](#setup-windows-only)
- [Troubleshooting](#troubleshooting)
- [Credits](#credits)
#### [Desktop Application](https://www.comfy.org/download)
- The easiest way to get started.
- Available on Windows & macOS.
## What's New?
#### [Windows Portable Package](#installing)
- Get the latest commits and completely portable.
- Available on Windows.
* Changed how ZLUDA is patched into the Comfyui itself. Now code is in external file , much cleaner and easier for me the change if it becomes necessary.
* Added a way to use any zluda you want (to use with HIP versions you want to use such as 6.1 - 6.2) After installing, close the app, run `patchzluda2.bat`. It will ask for url of the zluda build you want to use. You can choose from them here,
[lshyqqtiger's ZLUDA Fork](https://github.com/lshqqytiger/ZLUDA/releases) then you can use `patchzluda2.bat`, run it paste the link via right click (A correct link would be like this, `https://github.com/lshqqytiger/ZLUDA/releases/download/rel.d60bddbc870827566b3d2d417e00e1d2d8acc026/ZLUDA-windows-rocm6-amd64.zip`)
After pasting press enter and it would patch that zluda into comfy for you.
#### [Manual Install](#manual-install-windows-linux)
Supports all operating systems and GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend).
* Reverted zluda version back to 3.8.4. After updating try running patchzluda and if still have problems, delete venv and re-run install.bat.
* U̶p̶d̶a̶t̶e̶d̶ Z̶L̶U̶D̶A̶ v̶e̶r̶s̶i̶o̶n̶ t̶o̶ 3̶.8̶.5̶. I̶f̶ y̶o̶u̶ h̶a̶v̶e̶ a̶l̶r̶e̶a̶d̶y̶ i̶n̶s̶t̶a̶l̶l̶e̶d̶ c̶o̶m̶f̶y̶u̶i̶-̶z̶l̶u̶d̶a̶, y̶o̶u̶ c̶a̶n̶ u̶p̶d̶a̶t̶e̶ z̶l̶u̶d̶a̶ w̶i̶t̶h̶ r̶u̶n̶n̶i̶n̶g̶ `̶p̶a̶t̶c̶h̶z̶l̶u̶d̶a̶.b̶a̶t̶`̶ o̶n̶c̶e̶. O̶f̶ c̶o̶u̶r̶s̶e̶, r̶e̶m̶e̶m̶b̶e̶r̶ t̶h̶e̶ f̶i̶r̶s̶t̶ t̶i̶m̶e̶ f̶o̶r̶ e̶v̶e̶r̶y̶ t̶y̶p̶e̶ o̶f̶ m̶o̶d̶e̶l̶ w̶o̶u̶l̶d̶ t̶a̶k̶e̶ e̶x̶t̶r̶a̶ t̶i̶m̶e̶.
* Added a "small flux guide." This aims to use low vram and provides the very basic necessary files needed to get flux generation running. [HERE](fluxguide.md)
* Added --reserve-vram with the value of 0.9 to commandline options that run with the app on startup. Greatly helps reduce using too much memory on generations.
* Changed `start.bat` to `comfyui.bat` because there is already a windows command by that name, which
creates some problems. Also added `fix-update.bat` which solves the problem that causes not being able to
update to the latest version.
## Examples
See what ComfyUI can do with the [example workflows](https://comfyanonymous.github.io/ComfyUI_examples/).
> [!IMPORTANT]
>
> 📢 ***REGARDING KEEPING THE APP UP TO DATE***
>
> Avoid using the update function from the manager, instead use `git pull`, which we
> are doing on every start if `start.bat` is used. (App Already Does It Every Time You Open It, If You Are Using
> `comfyui.bat`, So This Way It Is Always Up To Date With Whatever Is On My GitHub Page)
>
> Only use comfy manager to update the extensions
> (Manager -> Custom Nodes Manager -> Set Filter To Installed -> Click Check Update On The Bottom Of The Window)
> otherwise it breaks the basic installation, and in that case run `install.bat` once again.
>
> 📢 ***REGARDING RX 480-580 AND SIMILAR GPUS***
>
> After a while we need to keep updating certain packages to keep up with the original app and certain requirements of
> some models etc. So, torch is changed over time , but this gave gpu's prior to rdna some negative performance.
> So for these gpu's please use `fixforrx580.bat` if you are having memory problems too much slowdown etc. This
> is not mandatory and it won't just make your gpu faster then before but it would be less problematic then using latest torch
> that we use with other gpu's.
>
> 📢 ***RANDOM TIPS & TRICKS REGARDING USING AMD GPU'S***
>
> * The generation speed is slower than nvidia counterparts we all know and accept it, but most of the time the out of memory situation
> at the end with VAE decoding is worse. To overcome this use "--cpu-vae". Add it to commandline_args on comfyui.bat.
> You can now decode using your system memory (the more the memory the better) and your cpu power. This might be slower but at least it works.
## Dependencies
If coming from the very start, you need :
1. **Git**: Download from https://git-scm.com/download/win.
During installation don't forget to check the box for "Use Git from the Windows Command line and also from
3rd-party-software" to add Git to your system's PATH.
2. **Python** ([3.10.11](https://www.python.org/ftp/python/3.10.11/python-3.10.11-amd64.exe) 3.11 also works, but 3.10 is used by most popular nodes atm): Install the latest release from python.org. **Don't Use
Windows Store Version**. If you have that installed, uninstall and please install from python.org. During
installation remember to check the box for "Add Python to PATH when you are at the "Customize Python" screen.
3. **Visual C++ Runtime**: Download [vc_redist.x64.exe](https://aka.ms/vs/17/release/vc_redist.x64.exe) and install it.
4. Install **HIP SDK 5.7.1** from [HERE](https://www.amd.com/en/developer/resources/rocm-hub/hip-sdk.html) the correct version, "Windows 10 & 11 5.7.1 HIP SDK"
*** (*** this app installs zluda for 5.7.1 by default, if you want to use 6.1 or 6.2 you have to get the latest zluda link from
[lshyqqtiger's ZLUDA Fork](https://github.com/lshqqytiger/ZLUDA/releases) then you can use `patchzluda2.bat`, run it paste the link via right click (a correct link would be like this, `https://github.com/lshqqytiger/ZLUDA/releases/download/rel.d60bddbc870827566b3d2d417e00e1d2d8acc026/ZLUDA-windows-rocm6-amd64.zip` press enter and it would patch that zluda into comfy for you. Of course this also would mean you have to change the variables below from
"5.7" to "6.x" where needed) ***
5. Add the system variable HIP_PATH, value: `C:\\Program Files\\AMD\\ROCm\\5.7\\` (This is the default folder, if you
have installed it on another drive, change if necessary)
1. Check the variables on the lower part (System Variables), there should be a variable called: HIP_PATH.
2. Also check the variables on the lower part (System Variables), there should be a variable called: "Path".
Double-click it and click "New" add this: `C:\Program Files\AMD\ROCm\5.7\bin`
7. If you have an AMD GPU below 6800 (6700,6600 etc.), download the recommended library files for your gpu
from [Brknsoul Repository](https://github.com/brknsoul/ROCmLibs)
1. Go to folder "C:\Program Files\AMD\ROCm\5.7\bin\rocblas", there would be a "library" folder, backup the files
inside to somewhere else.
2. Open your downloaded optimized library archive and put them inside the library folder (overwriting if
necessary): "C:\\Program Files\\AMD\\ROCm\\5.7\\bin\\rocblas\\library"
8. Reboot your system.
## Setup (Windows-Only)
Open a cmd prompt. (Powershell doesn't work, you have to use command prompt.)
```bash
git clone https://github.com/patientx/ComfyUI-Zluda
```
```bash
cd ComfyUI-Zluda
```
```bash
install.bat
```
to start for later use (or create a shortcut to) :
```bash
comfyui.bat
```
also for later when you need to repatch zluda (maybe a torch update etc.) you can use:
```bash
patchzluda.bat
```
- The first generation would take around 10-15 minutes, there won't be any progress or indicator on the webui or cmd
window, just wait. Zluda creates a database for use with generation with your gpu.
> [!NOTE]
> **This might happen with torch changes , zluda version changes and / or gpu driver changes.**
## Troubleshooting
- DO NOT use non-english characters as folder names to put comfyui-zluda under.
- Wipe your pip cache "C:\Users\USERNAME\AppData\Local\pip\cache" You can also do this when venv is active with :
`pip cache purge`
- `xformers` isn't usable with zluda so any nodes / packages that require it doesn't work. `Flash attention`
doesn't work. And lastly using `codeformer` for face restoration gives "Failed inference: CUDA driver error:
unknown error" You should use gfpgan / gpen / restoreformer or other face restoration models.
- Have the latest drivers installed for your amd gpu. **Also, Remove Any Nvidia Drivers** you might have from previous
nvidia
gpu's.
- If you see zluda errors make sure these three files are inside "ComfyUI-Zluda\venv\Lib\site-packages\torch\lib\"
`cublas64_11.dll (231kb)` `cusparse64_11.dll (199kb)` `nvrtc64_112_0.dll (129kb)` If they are there but much bigger in size please run : `patchzluda.bat`
- If for some reason you can't solve with these and want to start from zero, delete "venv" folder and re-run
`install.bat`
- If you can't git pull to the latest version, run these commands, `git fetch --all` and then
`git reset --hard origin/master` now you can git pull
- Problems with `caffe2_nvrtc.dll`: if you are sure you properly installed hip and can see it on path, please DON'T use
python from windows store, use the link provided or 3.11 from the official website. After uninstalling python from
windows store and installing the one from the website, be sure the delete venv folder, and run install.bat once again.
- `rocBLAS`-error: If you have an integrated GPU by AMD (e.g. AMD Radeon(TM) Graphics) you need to add `HIP_VISIBLE_DEVICES=1` to your
environment variables. Otherwise it will default to using your iGPU, which will most likely not work. This behavior is caused by a bug in the ROCm-driver.
___
## Example Workflows
## Features
- Nodes/graph/flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything.
- Image Models
- SD1.x, SD2.x,
- [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/), [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/)
- [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/)
- [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/)
- [Stable Cascade](https://comfyanonymous.github.io/ComfyUI_examples/stable_cascade/)
- [SD3 and SD3.5](https://comfyanonymous.github.io/ComfyUI_examples/sd3/)
- Pixart Alpha and Sigma
- [AuraFlow](https://comfyanonymous.github.io/ComfyUI_examples/aura_flow/)
- [HunyuanDiT](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_dit/)
- [Flux](https://comfyanonymous.github.io/ComfyUI_examples/flux/)
@ -69,31 +161,6 @@ See what ComfyUI can do with the [example workflows](https://comfyanonymous.gith
- [Hunyuan Video](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_video/)
- [Nvidia Cosmos](https://comfyanonymous.github.io/ComfyUI_examples/cosmos/)
- [Stable Audio](https://comfyanonymous.github.io/ComfyUI_examples/audio/)
- Asynchronous Queue system
- Many optimizations: Only re-executes the parts of the workflow that changes between executions.
- Smart memory management: can automatically run models on GPUs with as low as 1GB vram.
- Works even if you don't have a GPU with: ```--cpu``` (slow)
- Can load ckpt, safetensors and diffusers models/checkpoints. Standalone VAEs and CLIP models.
- Embeddings/Textual inversion
- [Loras (regular, locon and loha)](https://comfyanonymous.github.io/ComfyUI_examples/lora/)
- [Hypernetworks](https://comfyanonymous.github.io/ComfyUI_examples/hypernetworks/)
- Loading full workflows (with seeds) from generated PNG, WebP and FLAC files.
- Saving/Loading workflows as Json files.
- Nodes interface can be used to create complex workflows like one for [Hires fix](https://comfyanonymous.github.io/ComfyUI_examples/2_pass_txt2img/) or much more advanced ones.
- [Area Composition](https://comfyanonymous.github.io/ComfyUI_examples/area_composition/)
- [Inpainting](https://comfyanonymous.github.io/ComfyUI_examples/inpaint/) with both regular and inpainting models.
- [ControlNet and T2I-Adapter](https://comfyanonymous.github.io/ComfyUI_examples/controlnet/)
- [Upscale Models (ESRGAN, ESRGAN variants, SwinIR, Swin2SR, etc...)](https://comfyanonymous.github.io/ComfyUI_examples/upscale_models/)
- [unCLIP Models](https://comfyanonymous.github.io/ComfyUI_examples/unclip/)
- [GLIGEN](https://comfyanonymous.github.io/ComfyUI_examples/gligen/)
- [Model Merging](https://comfyanonymous.github.io/ComfyUI_examples/model_merging/)
- [LCM models and Loras](https://comfyanonymous.github.io/ComfyUI_examples/lcm/)
- Latent previews with [TAESD](#how-to-show-high-quality-previews)
- Starts up very fast.
- Works fully offline: will never download anything.
- [Config file](extra_model_paths.yaml.example) to set the search paths for models.
Workflow examples can be found on the [Examples page](https://comfyanonymous.github.io/ComfyUI_examples/)
## Shortcuts
@ -131,240 +198,11 @@ Workflow examples can be found on the [Examples page](https://comfyanonymous.git
| `Shift` + Drag | Move multiple wires at once |
| `Ctrl` + `Alt` + LMB | Disconnect all wires from clicked slot |
`Ctrl` can also be replaced with `Cmd` instead for macOS users
# Installing
## Windows Portable
There is a portable standalone build for Windows that should work for running on Nvidia GPUs or for running on your CPU only on the [releases page](https://github.com/comfyanonymous/ComfyUI/releases).
### [Direct link to download](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia.7z)
Simply download, extract with [7-Zip](https://7-zip.org) and run. Make sure you put your Stable Diffusion checkpoints/models (the huge ckpt/safetensors files) in: ComfyUI\models\checkpoints
If you have trouble extracting it, right click the file -> properties -> unblock
If you have a 50 series Blackwell card like a 5090 or 5080 see [this discussion thread](https://github.com/comfyanonymous/ComfyUI/discussions/6643)
#### How do I share models between another UI and ComfyUI?
See the [Config file](extra_model_paths.yaml.example) to set the search paths for models. In the standalone windows build you can find this file in the ComfyUI directory. Rename this file to extra_model_paths.yaml and edit it with your favorite text editor.
## Jupyter Notebook
To run it on services like paperspace, kaggle or colab you can use my [Jupyter Notebook](notebooks/comfyui_colab.ipynb)
## [comfy-cli](https://docs.comfy.org/comfy-cli/getting-started)
You can install and start ComfyUI using comfy-cli:
```bash
pip install comfy-cli
comfy install
```
## Manual Install (Windows, Linux)
python 3.13 is supported but using 3.12 is recommended because some custom nodes and their dependencies might not support it yet.
Git clone this repo.
Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints
Put your VAE in: models/vae
### AMD GPUs (Linux only)
AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:
```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2.4```
This is the command to install the nightly with ROCm 6.3 which might have some performance improvements:
```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.3```
### Intel GPUs (Windows and Linux)
(Option 1) Intel Arc GPU users can install native PyTorch with torch.xpu support using pip (currently available in PyTorch nightly builds). More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html)
1. To install PyTorch nightly, use the following command:
```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu```
2. Launch ComfyUI by running `python main.py`
(Option 2) Alternatively, Intel GPUs supported by Intel Extension for PyTorch (IPEX) can leverage IPEX for improved performance.
1. For Intel® Arc™ A-Series Graphics utilizing IPEX, create a conda environment and use the commands below:
```
conda install libuv
pip install torch==2.3.1.post0+cxx11.abi torchvision==0.18.1.post0+cxx11.abi torchaudio==2.3.1.post0+cxx11.abi intel-extension-for-pytorch==2.3.110.post0+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/ --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
```
For other supported Intel GPUs with IPEX, visit [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) for more information.
Additional discussion and help can be found [here](https://github.com/comfyanonymous/ComfyUI/discussions/476).
### NVIDIA
Nvidia users should install stable pytorch using this command:
```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu126```
This is the command to install pytorch nightly instead which might have performance improvements:
```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu126```
#### Troubleshooting
If you get the "Torch not compiled with CUDA enabled" error, uninstall torch with:
```pip uninstall torch```
And install it again with the command above.
### Dependencies
Install the dependencies by opening your terminal inside the ComfyUI folder and:
```pip install -r requirements.txt```
After this you should have everything installed and can proceed to running ComfyUI.
### Others:
#### Apple Mac silicon
You can install ComfyUI in Apple Mac silicon (M1 or M2) with any recent macOS version.
1. Install pytorch nightly. For instructions, read the [Accelerated PyTorch training on Mac](https://developer.apple.com/metal/pytorch/) Apple Developer guide (make sure to install the latest pytorch nightly).
1. Follow the [ComfyUI manual installation](#manual-install-windows-linux) instructions for Windows and Linux.
1. Install the ComfyUI [dependencies](#dependencies). If you have another Stable Diffusion UI [you might be able to reuse the dependencies](#i-already-have-another-ui-for-stable-diffusion-installed-do-i-really-have-to-install-all-of-these-dependencies).
1. Launch ComfyUI by running `python main.py`
> **Note**: Remember to add your models, VAE, LoRAs etc. to the corresponding Comfy folders, as discussed in [ComfyUI manual installation](#manual-install-windows-linux).
#### DirectML (AMD Cards on Windows)
```pip install torch-directml``` Then you can launch ComfyUI with: ```python main.py --directml```
#### Ascend NPUs
For models compatible with Ascend Extension for PyTorch (torch_npu). To get started, ensure your environment meets the prerequisites outlined on the [installation](https://ascend.github.io/docs/sources/ascend/quick_install.html) page. Here's a step-by-step guide tailored to your platform and installation method:
1. Begin by installing the recommended or newer kernel version for Linux as specified in the Installation page of torch-npu, if necessary.
2. Proceed with the installation of Ascend Basekit, which includes the driver, firmware, and CANN, following the instructions provided for your specific platform.
3. Next, install the necessary packages for torch-npu by adhering to the platform-specific instructions on the [Installation](https://ascend.github.io/docs/sources/pytorch/install.html#pytorch) page.
4. Finally, adhere to the [ComfyUI manual installation](#manual-install-windows-linux) guide for Linux. Once all components are installed, you can run ComfyUI as described earlier.
# Running
```python main.py```
### For AMD cards not officially supported by ROCm
Try running it with this command if you have issues:
For 6700, 6600 and maybe other RDNA2 or older: ```HSA_OVERRIDE_GFX_VERSION=10.3.0 python main.py```
For AMD 7600 and maybe other RDNA3 cards: ```HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py```
### AMD ROCm Tips
You can enable experimental memory efficient attention on pytorch 2.5 in ComfyUI on RDNA3 and potentially other AMD GPUs using this command:
```TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1 python main.py --use-pytorch-cross-attention```
You can also try setting this env variable `PYTORCH_TUNABLEOP_ENABLED=1` which might speed things up at the cost of a very slow initial run.
# Notes
Only parts of the graph that have an output with all the correct inputs will be executed.
Only parts of the graph that change from each execution to the next will be executed, if you submit the same graph twice only the first will be executed. If you change the last part of the graph only the part you changed and the part that depends on it will be executed.
Dragging a generated png on the webpage or loading one will give you the full workflow including seeds that were used to create it.
You can use () to change emphasis of a word or phrase like: (good code:1.2) or (bad code:0.8). The default emphasis for () is 1.1. To use () characters in your actual prompt escape them like \\( or \\).
You can use {day|night}, for wildcard/dynamic prompts. With this syntax "{wild|card|test}" will be randomly replaced by either "wild", "card" or "test" by the frontend every time you queue the prompt. To use {} characters in your actual prompt escape them like: \\{ or \\}.
Dynamic prompts also support C-style comments, like `// comment` or `/* comment */`.
To use a textual inversion concepts/embeddings in a text prompt put them in the models/embeddings directory and use them in the CLIPTextEncode node like this (you can omit the .pt extension):
```embedding:embedding_filename.pt```
## How to show high-quality previews?
Use ```--preview-method auto``` to enable previews.
The default installation includes a fast latent preview method that's low-resolution. To enable higher-quality previews with [TAESD](https://github.com/madebyollin/taesd), download the [taesd_decoder.pth, taesdxl_decoder.pth, taesd3_decoder.pth and taef1_decoder.pth](https://github.com/madebyollin/taesd/) and place them in the `models/vae_approx` folder. Once they're installed, restart ComfyUI and launch it with `--preview-method taesd` to enable high-quality previews.
## How to use TLS/SSL?
Generate a self-signed certificate (not appropriate for shared/production use) and key by running the command: `openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -sha256 -days 3650 -nodes -subj "/C=XX/ST=StateName/L=CityName/O=CompanyName/OU=CompanySectionName/CN=CommonNameOrHostname"`
Use `--tls-keyfile key.pem --tls-certfile cert.pem` to enable TLS/SSL, the app will now be accessible with `https://...` instead of `http://...`.
> Note: Windows users can use [alexisrolland/docker-openssl](https://github.com/alexisrolland/docker-openssl) or one of the [3rd party binary distributions](https://wiki.openssl.org/index.php/Binaries) to run the command example above.
<br/><br/>If you use a container, note that the volume mount `-v` can be a relative path so `... -v ".\:/openssl-certs" ...` would create the key & cert files in the current directory of your command prompt or powershell terminal.
## Support and dev channel
[Discord](https://comfy.org/discord): Try the #help or #feedback channels.
[Matrix space: #comfyui_space:matrix.org](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) (it's like discord but open source).
See also: [https://www.comfy.org/](https://www.comfy.org/)
## Frontend Development
As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). This repository now hosts the compiled JS (from TS/Vue) under the `web/` directory.
### Reporting Issues and Requesting Features
For any bugs, issues, or feature requests related to the frontend, please use the [ComfyUI Frontend repository](https://github.com/Comfy-Org/ComfyUI_frontend). This will help us manage and address frontend-specific concerns more efficiently.
### Using the Latest Frontend
The new frontend is now the default for ComfyUI. However, please note:
1. The frontend in the main ComfyUI repository is updated fortnightly.
2. Daily releases are available in the separate frontend repository.
To use the most up-to-date frontend version:
1. For the latest daily release, launch ComfyUI with this command line argument:
```
--front-end-version Comfy-Org/ComfyUI_frontend@latest
```
2. For a specific version, replace `latest` with the desired version number:
```
--front-end-version Comfy-Org/ComfyUI_frontend@1.2.2
```
This approach allows you to easily switch between the stable fortnightly release and the cutting-edge daily updates, or even specific versions for testing purposes.
### Accessing the Legacy Frontend
If you need to use the legacy frontend for any reason, you can access it using the following command line argument:
```
--front-end-version Comfy-Org/ComfyUI_legacy_frontend@latest
```
This will use a snapshot of the legacy frontend preserved in the [ComfyUI Legacy Frontend repository](https://github.com/Comfy-Org/ComfyUI_legacy_frontend).
# QA
### Which GPU should I buy for this?
[See this page for some recommendations](https://github.com/comfyanonymous/ComfyUI/wiki/Which-GPU-should-I-buy-for-ComfyUI)
## Credits
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
- [Zluda Wiki from SdNext](https://github.com/vladmandic/automatic/wiki/ZLUDA)
- [Brknsoul for Rocm Libraries](https://github.com/brknsoul/ROCmLibs)
- [Lshqqytiger](https://github.com/lshqqytiger/ZLUDA)
- [LeagueRaINi](https://github.com/LeagueRaINi/ComfyUI)
- [ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager)