Comfy-Org /
项目仓库ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Star 增减趋势
仅展示实际采集历史；历史不足或采集过期时不计算净增。
| 周期 | Star 净增 |
|---|---|
| 最近 24 小时 | 历史积累中 |
| 最近 7 天 | 历史积累中 |
| 最近 30 天 | 历史积累中 |
| 最近 365 天 | 历史积累中 |
仓库档案
创建时间：2023-01-17T03:15:56Z · 开始观察：2026-10-22T15:00:12.284Z
项目文档
<div align="center"> # ComfyUI **The most powerful and modular AI engine for content creation.** [![Website][website-shield]][website-url] [![Dynamic JSON Badge][discord-shield]][discord-url] [![Twitter][twitter-shield]][twitter-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://discord.com/invite/comfyorg [twitter-shield]: https://img.shields.io/twitter/follow/ComfyUI [twitter-url]: https://x.com/ComfyUI [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 <img width="1590" height="795" alt="ComfyUI Screenshot" src="https://github.com/user-attachments/assets/36e065e0-bfae-4456-8c7f-8369d5ea48a2" /> <br> </div> ComfyUI is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. Its powerful and modular node graph interface empowers creatives to generate images, videos, 3D models, audio, and more... - ComfyUI natively supports the latest open-source state of the art models. - It is by far the most optimized inference engine for diffusion models in the world with a focus on local consumer hardware. - Can run even the biggest open source models on as low as 4GB vram + 8GB ram relatively quickly (saturating your GPU compute) using our state of the art asynchronous weight streaming technology. - [Partner nodes](https://docs.comfy.org/tutorials/partner-nodes/overview#partner-nodes) provide access to the best closed source models such as Nano Banana, Seedance, Hunyuan3D, etc. - It is available on Windows, Linux, and macOS, locally with our [desktop application](https://www.comfy.org/download), our [portable install](#installing) or on our [cloud](https://www.comfy.org/cloud). - The most sophisticated workflows can be exposed through a simple UI thanks to App Mode. - It integrates seamlessly into production pipelines with our API endpoints. ## Get Started ### Local #### [Desktop Application](https://www.comfy.org/download) - The easiest way to get started. - Available on Windows & macOS. #### [Manual Install](#manual-install-windows-linux) Supports all operating systems and GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend). ### Cloud #### [Comfy Cloud](https://www.comfy.org/cloud) - Our official paid cloud version for those who can't afford local hardware. ## Examples See what ComfyUI can do with the [newer template workflows](https://comfy.org/workflows) or old [example workflows](https://comfyanonymous.github.io/ComfyUI_examples/). ## Features - A visual node graph for building and reusing image, video, audio, 3D, and text workflows without code. - Reusable subgraphs, workflow templates, App Mode, and a local API for integrating workflows into applications. - Efficient local execution with asynchronous queueing, partial graph re-execution, smart VRAM and RAM management, model offloading, and support for quantized models. - Broad native model support. This is a representative list; browse the [workflow library](https://comfy.org/workflows/) for maintained, ready-to-run templates. - [Image generation](https://comfy.org/workflows/tag/text-to-image/): Stable Diffusion 1.5, SDXL, SD3.5, Flux.1, Flux.2, Qwen Image, Z-Image, Hunyuan Image 2.1, HiDream, Lumina Image 2.0, Chroma, Anima, LongCat Image, Ideogram 4, Krea 2, MageFlow, Microsoft Lens, PixelDiT, Kandinsky 5, Ernie Image and Moss Image. - [Image editing](https://comfy.org/workflows/tag/image-edit/): Flux Kontext, Flux.2 Klein, Qwen Image Edit, HiDream E1.1 and O1, OmniGen2, Boogu, JoyImage Edit, MageFlow Edit, and LongCat Image Edit. - [Video generation](https://comfy.org/workflows/tag/video-generation/): Wan 2.1 and 2.2, LTX-Video 2 and 2.3, HunyuanVideo 1.5, Kandinsky 5 Video, CogVideoX, Cosmos Predict2, Bernini-R, SCAIL 2, and Mochi. - [Audio and video generation](https://comfy.org/workflows/): MiniMax H3 and LTX-AV. - [Audio generation](https://comfy.org/workflows/tag/text-to-audio/): ACE-Step 1.5, Stable Audio 3, MiniMax Music 3 and Yue 2. - [3D and vision](https://comfy.org/workflows/): Hunyuan3D 2.1, TripoSplat, SeedVR2, SUPIR, Depth Anything 3, MoGe, SAM 3 and 3.1, RT-DETRv4, and BiRefNet. - [Text generation](https://comfy.org/workflows/tag/text-generation/): Gemma 3 and 4, Qwen3, Qwen3.5, and Qwen3-VL, including multimodal inputs. - Load complete checkpoints or separate diffusion models, VAEs, text encoders, LoRAs, ControlNets, adapters, and upscalers from supported model formats. - Built-in tools for inpainting, outpainting, reference conditioning, masks and compositing, model merging, upscaling, frame interpolation, segmentation, depth estimation, and media processing. - Save and load workflows as JSON, or recover complete workflows and seeds from supported generated media. - Runs fully offline: core does not download anything unless you request it. Use `--offline` to disable the optional paid [Comfy API nodes](https://docs.comfy.org/tutorials/api-nodes/overview) and force all built-in functionality to stay offline, or `--disable-partner-nodes` to only disable the API nodes. - Extend ComfyUI with custom nodes - Configure additional model locations with [`extra_model_paths.yaml`](extra_model_paths.yaml.example). - Support for saving and loading high bit depth images and videos: 16 bit PNG images, 32 bit EXR, 10 bit AVIF are supported and more. - Support for saving and loading HDR videos and images in various formats. ## Release Process ComfyUI follows a weekly release cycle targeting Monday but this regularly changes because of model releases or large changes to the codebase. There are three interconnected repositories: 1. **[ComfyUI Core](https://github.com/comfyanonymous/ComfyUI)** - Releases a new major stable version (e.g., v0.7.0) roughly every 2 weeks. - Starting from v0.4.0 patch versions will be used for fixes backported onto the current stable release. - Minor versions will be used for releases off the master branch. - Patch versions may still be used for releases on the master branch in cases where a backport would not make sense. - Commits outside of the stable release tags may be very unstable and break many custom nodes. - Serves as the foundation for the desktop release 2. **[Comfy Desktop](https://github.com/Comfy-Org/Comfy-Desktop)** - Builds a new release using the latest stable core version 3. **[ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend)** - Every 2+ weeks frontend updates are merged into the core repository - Features are frozen for the upcoming core release - Development continues for the next release cycle ## Shortcuts | Keybind | Explanation | |------------------------------------|--------------------------------------------------------------------------------------------------------------------| | `Ctrl` + `Enter` | Queue up current graph for generation | | `Ctrl` + `Shift` + `Enter` | Queue up current graph as first for generation | | `Ctrl` + `Alt` + `Enter` | Cancel current generation | | `Ctrl` + `Z`/`Ctrl` + `Y` | Undo/Redo | | `Ctrl` + `S` | Save workflow | | `Ctrl` + `O` | Load workflow | | `Ctrl` + `A` | Select all nodes | | `Alt `+ `C` | Collapse/uncollapse selected nodes | | `Ctrl` + `M` | Mute/unmute selected nodes | | `Ctrl` + `B` | Bypass selected nodes (acts like the node was removed from the graph and the wires reconnected through) | | `Delete`/`Backspace` | Delete selected nodes | | `Ctrl` + `Backspace` | Delete the current graph | | `Space` | Move the canvas around when held and moving the cursor | | `Ctrl`/`Shift` + `Click` | Add clicked node to selection | | `Ctrl` + `C`/`Ctrl` + `V` | Copy and paste selected nodes (without maintaining connections to outputs of unselected nodes) | | `Ctrl` + `C`/`Ctrl` + `Shift` + `V` | Copy and paste selected nodes (maintaining connections from outputs of unselected nodes to inputs of pasted nodes) | | `Shift` + `Drag` | Move multiple selected nodes at the same time | | `Ctrl` + `D` | Load default graph | | `Alt` + `+` | Canvas Zoom in | | `Alt` + `-` | Canvas Zoom out | | `Ctrl` + `Shift` + LMB + Vertical drag | Canvas Zoom in/out | | `P` | Pin/Unpin selected nodes | | `Ctrl` + `G` | Group selected nodes | | `Q` | Toggle visibility of the queue | | `H` | Toggle visibility of history | | `R` | Refresh graph | | `F` | Show/Hide menu | | `.` | Fit view to selection (Whole graph when nothing is selected) | | Double-Click LMB | Open node quick search palette | | `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 and Mac We highly recommend using the [desktop app](https://comfy.org/download): ### [Link to Download](https://comfy.org/download) The desktop app is the easiest and best way to use ComfyUI for new users. ## 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. It is not recommended for regular users. Regular users should use the desktop app above. [Direct link to download (nvidia)](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia.7z) Simply download, extract with [7-Zip](https://7-zip.org) or with the windows explorer on recent windows versions and run. For smaller models you normally only need to put the checkpoints (the huge ckpt/safetensors files) in: ComfyUI\models\checkpoints but many of the larger models have multiple files. Make sure to follow the instructions to know which subfolder to put them in ComfyUI\models\ If you have trouble extracting it, right click the file -> properties -> unblock The portable above currently comes with python 3.13 and pytorch cuda 13.0. Update your Nvidia drivers if it doesn't start. #### All Official Portable Downloads: [Portable for AMD GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z) [Portable for Intel GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_intel.7z) [Portable for Nvidia GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia.7z) (supports 20 series and above). [Portable for Nvidia GPUs with pytorch cuda 12.6 and python 3.12](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z) (Supports Nvidia 10 series and older GPUs, DO NOT USE THIS ON NEWER 20 SERIES AND ABOVE GPUS). #### 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. ## [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 3.14 works but some custom nodes may have issues. The free threaded variant works but some dependencies will enable the GIL so it's not fully supported. Python 3.13 is very well supported. If you have trouble with some custom node dependencies on 3.13 you can try 3.12 torch 2.7 is minimally supported but using a newer version is extremely recommended. Using a cu130 or above version of pytorch is required on Nvidia 20 series and above. Some features and optimizations might only work on newer versions. We generally recommend using the latest major version of pytorch with the latest cuda version unless it is less than 2 weeks old. If your pytorch is more than 6 months old, please update it. ### Instructions: 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) 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/rocm7.2``` This is the command to install the nightly with ROCm 7.2 which might have some performance improvements: ```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm7.2``` ### AMD GPUs (Windows, ROCm 10.0) Use AMD's [multi-architecture PyTorch packages](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/frameworks/pytorch/install.html). The `device-*` extras install your GPU's kernels and the matching ROCm runtime automatically; a separate HIP SDK installation is not needed. Use Windows 11, a current [AMD graphics driver](https://www.amd.com/en/support/download/drivers.html), and 64-bit Python 3.13. The install command below uses `device-all` to install kernels for all supported GPUs. To reduce download size and disk usage, optionally replace **both** occurrences of `device-all` with the target for your GPU: | GPU | Device extra | | --- | --- | | RX 9070 / XT, Radeon AI PRO R9700 | `device-gfx1201` | | RX 9060 / XT | `device-gfx1200` | | RX 7900 XT / XTX | `device-gfx1100` | | RX 7700 XT / 7800 XT | `device-gfx1101` | | RX 7600 / XT | `device-gfx1102` | | Ryzen AI Max / Max+ (Strix Halo) | `device-gfx1151` | **Note:** This table only lists examples. A GPU missing from it may still be supported: supported architectures include RDNA 2, RDNA 3, RDNA 3.5, and RDNA 4. Keep `device-all` to install kernels for all supported targets. For other models, see AMD's [GPU target table](https://github.com/ROCm/TheRock/blob/main/RELEASES.md#gfx-target-lookup-table) and [ROCm compatibility matrix](https://rocm.docs.amd.com/en/docs-10.0.0/compatibility/compatibility-matrix.html). **ROCm 10.0.0 with PyTorch 2.13:** ```bat pip install --index-url https://stable.repo.amd.com/rocm/whl-next/ "torch[device-all]==2.13.0+rocm10.0.0" "torchvision[device-all]==0.28.0+rocm10.0.0" "torchaudio==2.11.0.2+rocm10.0.0" ``` ### Intel GPUs (Windows and Linux) Intel Arc GPU users can install native PyTorch with torch.xpu support using pip. More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html) 1. To install PyTorch xpu, use the following command: ```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu``` This is the command to install the Pytorch xpu nightly which might have some performance improvements: ```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu``` ### NVIDIA Nvidia users should install stable pytorch using this command: ```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130``` 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/cu132``` #### 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 t