Fooocus
>>> Click Here to Install Fooocus <<<
Fooocus is an image generating software (based on Gradio 
).
Fooocus presents a rethinking of image generator designs. The software is offline, open source, and free, while at the same time, similar to many online image generators like Midjourney, the manual tweaking is not needed, and users only need to focus on the prompts and images. Fooocus has also simplified the installation: between pressing "download" and generating the first image, the number of needed mouse clicks is strictly limited to less than 3. Minimal GPU memory requirement is 4GB (Nvidia).
Recently many fake websites exist on Google when you search “fooocus”. Do not trust those – here is the only official source of Fooocus.
Project Status: Limited Long-Term Support (LTS) with Bug Fixes Only
The Fooocus project, built entirely on the Stable Diffusion XL architecture, is now in a state of limited long-term support (LTS) with bug fixes only. As the existing functionalities are considered as nearly free of programmartic issues (Thanks to mashb1t's huge efforts), future updates will focus exclusively on addressing any bugs that may arise.
There are no current plans to migrate to or incorporate newer model architectures. However, this may change during time with the development of open-source community. For example, if the community converge to one single dominant method for image generation (which may really happen in half or one years given the current status), Fooocus may also migrate to that exact method.
For those interested in utilizing newer models such as Flux, we recommend exploring alternative platforms such as WebUI Forge (also from us), ComfyUI/SwarmUI. Additionally, several excellent forks of Fooocus are available for experimentation.
Again, recently many fake websites exist on Google when you search “fooocus”. Do NOT get Fooocus from those websites – this page is the only official source of Fooocus. We never have any website like such as “fooocus.com”, “fooocus.net”, “fooocus.co”, “fooocus.ai”, “fooocus.org”, “fooocus.pro”, “fooocus.one”. Those websites are ALL FAKE. They have ABSOLUTLY no relationship to us. Fooocus is a 100% non-commercial offline open-source software.
Features
Below is a quick list using Midjourney's examples:
| Midjourney |
Fooocus |
High-quality text-to-image without needing much prompt engineering or parameter tuning.
(Unknown method) |
High-quality text-to-image without needing much prompt engineering or parameter tuning.
(Fooocus has an offline GPT-2 based prompt processing engine and lots of sampling improvements so that results are always beautiful, no matter if your prompt is as short as “house in garden” or as long as 1000 words) |
| V1 V2 V3 V4 |
Input Image -> Upscale or Variation -> Vary (Subtle) / Vary (Strong) |
| U1 U2 U3 U4 |
Input Image -> Upscale or Variation -> Upscale (1.5x) / Upscale (2x) |
| Inpaint / Up / Down / Left / Right (Pan) |
Input Image -> Inpaint or Outpaint -> Inpaint / Up / Down / Left / Right
(Fooocus uses its own inpaint algorithm and inpaint models so that results are more satisfying than all other software that uses standard SDXL inpaint method/model) |
| Image Prompt |
Input Image -> Image Prompt
(Fooocus uses its own image prompt algorithm so that result quality and prompt understanding are more satisfying than all other software that uses standard SDXL methods like standard IP-Adapters or Revisions) |
| --style |
Advanced -> Style |
| --stylize |
Advanced -> Advanced -> Guidance |
| --niji |
Multiple launchers: "run.bat", "run_anime.bat", and "run_realistic.bat".
Fooocus support SDXL models on Civitai
(You can google search “Civitai” if you do not know about it) |
| --quality |
Advanced -> Quality |
| --repeat |
Advanced -> Image Number |
| Multi Prompts (::) |
Just use multiple lines of prompts |
| Prompt Weights |
You can use " I am (happy:1.5)".
Fooocus uses A1111's reweighting algorithm so that results are better than ComfyUI if users directly copy prompts from Civitai. (Because if prompts are written in ComfyUI's reweighting, users are less likely to copy prompt texts as they prefer dragging files)
To use embedding, you can use "(embedding:file_name:1.1)" |
| --no |
Advanced -> Negative Prompt |
| --ar |
Advanced -> Aspect Ratios |
| InsightFace |
Input Image -> Image Prompt -> Advanced -> FaceSwap |
| Describe |
Input Image -> Describe |
Below is a quick list using LeonardoAI's examples:
| LeonardoAI |
Fooocus |
| Prompt Magic |
Advanced -> Style -> Fooocus V2 |
| Advanced Sampler Parameters (like Contrast/Sharpness/etc) |
Advanced -> Advanced -> Sampling Sharpness / etc |
| User-friendly ControlNets |
Input Image -> Image Prompt -> Advanced |
Also, click here to browse the advanced features.
Download
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:
- 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.
- 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.
After Fooocus 2.3.0 you can also switch presets directly in the browser. Keep in mind to add these arguments if you want to change the default behavior:
- Use
--disable-preset-selection to disable preset selection in the browser.
- Use
--always-download-new-model to download missing models on preset switch. Default is fallback to previous_default_models defined in the corresponding preset, also see terminal output.
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.
And make sure that you have at least 40GB free space on each drive if you still see "RuntimeError: CPUAllocator" !
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 - 2024 Aug 12 by mashb1t)
| Colab |
Info |
 |
Fooocus Official |
In Colab, you can modify the last line to !python entry_with_update.py --share --always-high-vram or !python entry_with_update.py --share --always-high-vram --preset anime or !python entry_with_update.py --share --always-high-vram --preset realistic for Fooocus Default/Anime/Realistic Edition.
You can also change the preset in the UI. Please be aware that this may lead to timeouts after 60 seconds. If this is the case, please wait until the download has finished, change the preset to initial and back to the one you've selected or reload the page.
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.
Using --always-high-vram shifts resource allocation from RAM to VRAM and achieves the overall best balance between performance, flexibility and stability on the default T4 instance. Please find more information here.
Thanks to camenduru for the template!
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 Fooocus\entry_with_update.py --directml --preset anime or .\python_embeded\python.exe Fooocus\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.
- 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.
- Open the macOS Terminal app and clone this repository with
git clone https://github.com/lllyasviel/Fooocus.git.
- Change to the new Fooocus directory,
cd Fooocus.
- Create a new conda environment,
conda env create -f environment.yaml.
- Activate your new conda environment,
conda activate fooocus.
- Install the packages required by Fooocus,
pip install -r requirements_versions.txt.
- 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.
Docker
See docker.md
Download Previous Version
See the guidelines here.
Minimal Requirement
Below is the minimal requirement for running Fooocus locally. If your device capability is lower than this spec, you may not be able to use Fooocus locally. (Please let us know, in any case, if your device capability is lower but Fooocus still works.)
| Operating System |
GPU |
Minimal GPU Memory |
Minimal System Memory |
System Swap |
Note |
| Windows/Linux |
Nvidia RTX 4XXX |
4GB |
8GB |
Required |
fastest |
| Windows/Linux |
Nvidia RTX 3XXX |
4GB |
8GB |
Required |
usually faster than RTX 2XXX |
| Windows/Linux |
Nvidia RTX 2XXX |
4GB |
8GB |
Required |
usually faster than GTX 1XXX |
| Windows/Linux |
Nvidia GTX 1XXX |
8GB (* 6GB uncertain) |
8GB |
Required |
only marginally faster than CPU |
| Windows/Linux |
Nvidia GTX 9XX |
8GB |
8GB |
Required |
faster or slower than CPU |
| Windows/Linux |
Nvidia GTX < 9XX |
Not supported |
/ |
/ |
/ |
| Windows |
AMD GPU |
8GB (updated 2023 Dec 30) |
8GB |
Required |
via DirectML (* ROCm is on hold), about 3x slower than Nvidia RTX 3XXX |
| Linux |
AMD GPU |
8GB |
8GB |
Required |
via ROCm, about 1.5x slower than Nvidia RTX 3XXX |
| Mac |
M1/M2 MPS |
Shared |
Shared |
Shared |
about 9x slower than Nvidia RTX 3XXX |
| Windows/Linux/Mac |
only use CPU |
0GB |
32GB |
Required |
about 17x slower than Nvidia RTX 3XXX |
* AMD GPU ROCm (on hold): The AMD is still working on supporting ROCm on Windows.
* Nvidia GTX 1XXX 6GB uncertain: Some people report 6GB success on GTX 10XX, but some other people report failure cases.
Note that Fooocus is only for extremely high quality image generating. We will not support smaller models to reduce the requirement and sacrifice result quality.
Troubleshoot
See the common problems here.
Default Models
Given different goals, the default models and configs of Fooocus are different:
| Task | Windows | Linux args | Main Model | Refiner | Config
Fooocus 是一个基于 Stable Diffusion XL 的开源 AI 图片生成器：内置的离线 GPT-2 引擎会自动帮你扩写提示词，所以不需要专门研究提示词技巧或调参数，出来的效果就很好。