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Windows

You can directly download Fooocus with:

>>> Click here to download <<<

After you download the file, please uncompress it and then run the "run.bat".

The first time you launch the software, it will automatically download models:

1. It will download default models to the folder "Fooocus\models\checkpoints" given different presets. You can download them in advance if you do not want automatic download.

2. Note that if you use inpaint, at the first time you inpaint an image, it will download Fooocus's own inpaint control model from here as the file "Fooocus\models\inpaint\inpaint_v26.fooocus.patch" (the size of this file is 1.28GB).

After Fooocus 2.1.60, you will also have run_anime.bat and run_realistic.bat. They are different model presets (and require different models, but they will be automatically downloaded). Check here for more details.

If you already have these files, you can copy them to the above locations to speed up installation.

Note that if you see "MetadataIncompleteBuffer" or "PytorchStreamReader", then your model files are corrupted. Please download models again.

Below is a test on a relatively low-end laptop with 16GB System RAM and 6GB VRAM (Nvidia 3060 laptop). The speed on this machine is about 1.35 seconds per iteration. Pretty impressive – nowadays laptops with 3060 are usually at very acceptable price.

Besides, recently many other software report that Nvidia driver above 532 is sometimes 10x slower than Nvidia driver 531. If your generation time is very long, consider download Nvidia Driver 531 Laptop or Nvidia Driver 531 Desktop.

Note that the minimal requirement is 4GB Nvidia GPU memory (4GB VRAM) and 8GB system memory (8GB RAM). This requires using Microsoft’s Virtual Swap technique, which is automatically enabled by your Windows installation in most cases, so you often do not need to do anything about it. However, if you are not sure, or if you manually turned it off (would anyone really do that?), or if you see any "RuntimeError: CPUAllocator", you can enable it here:

Click here to see the image instructions.

Please open an issue if you use similar devices but still cannot achieve acceptable performances.

Note that the minimal requirement for different platforms is different.

See also the common problems and troubleshoots here.

Colab

(Last tested - 2023 Dec 12)

Colab	Info
	Fooocus Official

In Colab, you can modify the last line to !python entry_with_update.py --share or !python entry_with_update.py --preset anime --share or !python entry_with_update.py --preset realistic --share for Fooocus Default/Anime/Realistic Edition.

Note that this Colab will disable refiner by default because Colab free's resources are relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.

Thanks to camenduru!

Linux (Using Anaconda)

If you want to use Anaconda/Miniconda, you can

git clone https://github.com/lllyasviel/Fooocus.git
cd Fooocus
conda env create -f environment.yaml
conda activate fooocus
pip install -r requirements_versions.txt

Then download the models: download default models to the folder "Fooocus\models\checkpoints". Or let Fooocus automatically download the models using the launcher:

conda activate fooocus
python entry_with_update.py

Or, if you want to open a remote port, use

conda activate fooocus
python entry_with_update.py --listen

Use python entry_with_update.py --preset anime or python entry_with_update.py --preset realistic for Fooocus Anime/Realistic Edition.

Linux (Using Python Venv)

Your Linux needs to have Python 3.10 installed, and let's say your Python can be called with the command python3 with your venv system working; you can

git clone https://github.com/lllyasviel/Fooocus.git
cd Fooocus
python3 -m venv fooocus_env
source fooocus_env/bin/activate
pip install -r requirements_versions.txt

See the above sections for model downloads. You can launch the software with:

source fooocus_env/bin/activate
python entry_with_update.py

Or, if you want to open a remote port, use

source fooocus_env/bin/activate
python entry_with_update.py --listen

Use python entry_with_update.py --preset anime or python entry_with_update.py --preset realistic for Fooocus Anime/Realistic Edition.

Linux (Using native system Python)

If you know what you are doing, and your Linux already has Python 3.10 installed, and your Python can be called with the command python3 (and Pip with pip3), you can

git clone https://github.com/lllyasviel/Fooocus.git
cd Fooocus
pip3 install -r requirements_versions.txt

See the above sections for model downloads. You can launch the software with:

python3 entry_with_update.py

Or, if you want to open a remote port, use

python3 entry_with_update.py --listen

Use python entry_with_update.py --preset anime or python entry_with_update.py --preset realistic for Fooocus Anime/Realistic Edition.

Linux (AMD GPUs)

Note that the minimal requirement for different platforms is different.

Same with the above instructions. You need to change torch to the AMD version

pip uninstall torch torchvision torchaudio torchtext functorch xformers 
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6

AMD is not intensively tested, however. The AMD support is in beta.

Use python entry_with_update.py --preset anime or python entry_with_update.py --preset realistic for Fooocus Anime/Realistic Edition.

Windows(AMD GPUs)

Note that the minimal requirement for different platforms is different.

Same with Windows. Download the software and edit the content of run.bat as:

.\python_embeded\python.exe -m pip uninstall torch torchvision torchaudio torchtext functorch xformers -y
.\python_embeded\python.exe -m pip install torch-directml
.\python_embeded\python.exe -s Fooocus\entry_with_update.py --directml
pause

Then run the run.bat.

AMD is not intensively tested, however. The AMD support is in beta.

For AMD, use .\python_embeded\python.exe entry_with_update.py --directml --preset anime or .\python_embeded\python.exe entry_with_update.py --directml --preset realistic for Fooocus Anime/Realistic Edition.

Mac

Note that the minimal requirement for different platforms is different.

Mac is not intensively tested. Below is an unofficial guideline for using Mac. You can discuss problems here.

You can install Fooocus on Apple Mac silicon (M1 or M2) with macOS 'Catalina' or a newer version. Fooocus runs on Apple silicon computers via PyTorch MPS device acceleration. Mac Silicon computers don't come with a dedicated graphics card, resulting in significantly longer image processing times compared to computers with dedicated graphics cards.

1. Install the conda package manager and pytorch nightly. Read the Accelerated PyTorch training on Mac Apple Developer guide for instructions. Make sure pytorch recognizes your MPS device.

2. Open the macOS Terminal app and clone this repository with git clone https://github.com/lllyasviel/Fooocus.git.

3. Change to the new Fooocus directory, cd Fooocus.

4. Create a new conda environment, conda env create -f environment.yaml.

5. Activate your new conda environment, conda activate fooocus.

6. Install the packages required by Fooocus, pip install -r requirements_versions.txt.

7. Launch Fooocus by running python entry_with_update.py. (Some Mac M2 users may need python entry_with_update.py --disable-offload-from-vram to speed up model loading/unloading.) The first time you run Fooocus, it will automatically download the Stable Diffusion SDXL models and will take a significant amount of time, depending on your internet connection.

Use python entry_with_update.py --preset anime or python entry_with_update.py --preset realistic for Fooocus Anime/Realistic Edition.

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See the guidelines here.