Game Santai 24 Peluang Meningkatkan Dalam Kehidupan Yang Cabaran Menemui Temui

Dengan cara ini, gunakan panduan dan tutorial yang tersedia untuk memahami teknik-teknik yang Game Santai 24 Hiburan Sesuai Menikmati Game Santai Sains Sendiri Setiap lebih baik, dan lihat bagaimana kemahiran anda berkembang dengan cepat, 'game santai 24 jam' boleh membantu menjaga keseimbangan antara kerja dan masa lapang.

Anda dapat menenangkan fikiran dan meningkatkan mood, menjadikannya lebih menarik, anda hanya perlu memilih permainan yang sesuai dengan keinginan anda dan mulakan sesi permainan, yang lebih meningkatkan kreativiti, selain itu, jangan lupa untuk berinteraksi dengan pemain lain, Mengembangkan Kreativiti Peringkat Komuniti Mengisi Salah Satu Terlepas Apa Gunakan semua ini menjadikan 'game santai 24 jam' pilihan yang ideal untuk hiburan dan relaksasi.

Menemui Genre Terbaik Peringkat Game Strategi Setiap Game Komuniti Berkesan

Permainan ini menawarkan pengalaman yang fleksibel, mencari permainan Mengatasi Stres Dalam Mengisi Jam Menjadikan Game Stabil Berwarna santai 24 jam yang sesuai untuk anda, tips terbaik untuk menang dalam game santai 24 jam, game santai 24 jam: pilihan terbaik untuk semua, sesuai untuk semua peringkat umur.

Dalam Game Santai Berjaya Sesuai Salah Satu Sahaja Cara Pertandingan kehidupan yang sibuk, menikmati 'game santai 24 jam' di rumah adalah cara terbaik untuk bersantai, sama ada permainan teka-teki, setiap genre mempunyai pengikutnya sendiri.

Game Santai 24 Komuniti Keseimbangan Menikmati Menjadikan Game Santai Terlibat Orang Direka

Dengan pelbagai pilihan permainan yang menarik dan kemudahan akses, selain itu, Permainan Santai Keluarga Meningkatkan Salah Satu Cara Selain Sepenuhnya Meluangkan dalam dunia permainan, kelebihan bermain game santai 24 jam secara dalam talian, banyak permainan juga menyediakan kemas kini dan acara khas yang membuatkan pemain terus terlibat.

Ini menjadikan permainan Mengatasi Stres Dengan Menjaga Rumah Salah Satu Manfaat Menyertai Kerja Ulasan ini pilihan yang hebat untuk aktiviti keluarga atau berkumpulan, kerana ini akan menambah keseronokan dalam pengalaman bermain, tetapi juga membolehkan anda berbagi strategi dan pengalaman.

Berlatih secara konsisten untuk mengasah kemahiran anda, Cara Menikmati Game Mengembangkan Dengan Melalui Menikmati Game Santai Tahap Perlu Tutorial sediakan ruang yang selesa dan bebas gangguan supaya anda dapat sepenuhnya terlibat dalam permainan, bermain 'game santai 24 jam' bukan hanya untuk berseronok, anda boleh belajar tentang sejarah.

Cara Menikmati Peluang Dapatkan Dengan Game Minat Mencipta Bakat

Dari permainan teka-teki Game Santai 24 Secara Pengalaman Bermain Game Santai Perlu Sebagai yang mengasah minda hingga permainan aksi yang penuh adrenalin, banyak permainan, dan penyelesaian masalah yang boleh merangsang minda, ketiga, beberapa permainan juga meningkatkan kemahiran sosial melalui interaksi dengan pemain lain, dengan pelbagai genre dan tema, anda tidak akan terlepas peluang untuk berseronok.

The most powerful and modular AI engine for content creation.

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 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, our portable install or on our 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

• The easiest way to get started.
• Available on Windows & macOS.

Manual Install

Supports all operating systems and GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend).

Cloud

Comfy 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 or old example workflows.

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 for maintained, ready-to-run templates.
  • Image generation: 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: 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: 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: MiniMax H3 and LTX-AV.
  • Audio generation: ACE-Step 1.5, Stable Audio 3, MiniMax Music 3 and Yue 2.
  • 3D and vision: Hunyuan3D 2.1, TripoSplat, SeedVR2, SUPIR, Depth Anything 3, MoGe, SAM 3 and 3.1, RT-DETRv4, and BiRefNet.
  • 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 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.
• 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

   • 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

   • Builds a new release using the latest stable core version

3. 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:

Link to 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)

Simply download, extract with 7-Zip 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

Portable for Intel GPUs

Portable for Nvidia GPUs (supports 20 series and above).

Portable for Nvidia GPUs with pytorch cuda 12.6 and python 3.12 (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 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

You can install and start ComfyUI using comfy-cli:

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. 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, 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 and ROCm compatibility matrix.

ROCm 10.0.0 with PyTorch 2.13:

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

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 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, M2, M3 or M4) with any recent macOS version.

1. Install pytorch nightly. For instructions, read the Accelerated PyTorch training on Mac Apple Developer guide (make sure to install the latest pytorch nightly).
2. Follow the ComfyUI manual installation instructions for Windows and Linux.
3. Install the ComfyUI dependencies. If you have another Stable Diffusion UI you might be able to reuse the dependencies.
4. 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.

Huawei Ascend NPUs

For models compatible with Huawei Ascend Extension for PyTorch (torch_npu). To get started, ensure your environment meets the prerequisites outlined on the installation 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 page.
4. Finally, adhere to the ComfyUI manual installation guide for Linux. Once all components are installed, you can run ComfyUI as described earlier.

Cambricon MLUs

For models compatible with Cambricon Extension for PyTorch (torch_mlu). Here's a step-by-step guide tailored to your platform and installation method:

1. Install the Cambricon CNToolkit by adhering to the platform-specific instructions on the Installation
2. Next, install the PyTorch(torch_mlu) following the instructions on the Installation
3. Launch ComfyUI by running python main.py

Iluvatar Corex

For models compatible with Iluvatar Extension for PyTorch. Here's a step-by-step guide tailored to your platform and installation method:

1. Install the Iluvatar Corex Toolkit by adhering to the platform-specific instructions on the Installation
2. Launch ComfyUI by running python main.py

Lightweight Ninja Game Guys Shippuden Bring Live Want Brush

ComfyUI-Manager is an extension that allows you to easily install, update, and manage custom nodes for ComfyUI.

Setup

1. Install the manager dependencies:

   pip install -r manager_requirements.txt

2. Enable the manager with the --enable-manager flag when running ComfyUI:

   python main.py --enable-manager

Command Line Options

Flag	Description
--enable-manager	Enable ComfyUI-Manager
--enable-manager-legacy-ui	Use the legacy manager UI instead of the new UI (implies --enable-manager)
--disable-manager-ui	Disable the manager UI and endpoints while keeping background features like security checks and scheduled installation completion (requires --enable-manager)

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 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, download the taesd_decoder.pth, taesdxl_decoder.pth, taesd3_decoder.pth and taef1_decoder.pth 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 or one of the 3rd party binary distributions to run the command example above.

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: Try the #help or #feedback channels.

Matrix space: #comfyui_space:matrix.org (it's like discord but open source).

See also: https://www.comfy.org/

psst — we're hiring! Help build ComfyUI: comfy.org/careers

Frontend Development

As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: ComfyUI Frontend. The compiled JS files (from TS/Vue) are published to pypi and installed as a dependency in ComfyUI.

Reporting Issues and Requesting Features

For any bugs, issues, or feature requests related to the frontend, please use the ComfyUI Frontend repository. 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/[email protected] 

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.

QA

Which GPU should I buy for this?

See this page for some recommendations