Awesome

🔥🔥🔥Fooocus-ControlNet-SDXL🔥🔥🔥

🚀 Updates

• [2023.10.29] release Mask_Inpaint

Fooocus-ControlNet-SDXL is a ⭐free⭐ image generating software (based on Fooocus , ControlNet ,👉SDXL , IP-Adapter , etc.).

Fooocus-ControlNet-SDXL adds more control to the original Fooocus software.

💡 Fooocus-ControlNet-SDXL keeps it simple

• Fooocus is an excellent SDXL-based software, which provides excellent generation effects based on the simplicity of liking midjourney, while being free as stable diffusion.
• FooocusControl inherits the core design concepts of fooocus, in order to minimize the learning threshold, FooocusControl has the same UI interface as fooocus (only in the Input Image/Image Prompt/advance to add more options).
• FooocusControl does all the complicated stuff behind the scenes, such as model downloading, loading, registration, image preprocessing, etc. Users don't need to bother with any of this at all, you just need to check the desired image control method.

💡 Fooocus-ControlNet-SDXL facilitates secondary development

• Fooocus-ControlNet-SDXL simplifies the way fooocus integrates with controlnet by simply defining pre-processing and adding configuration files.
• If you are a developer with your own unique controlnet model , with Fooocus-ControlNet-SDXL , you can easily integrate it into fooocus .
• In addition to controlnet, FooocusControl plans to continue to integrate ip-adapter and other models to further provide users with more control methods.

💡 Fooocus-ControlNet-SDXL pursues the 📍out-of-the-box use of software📍

• Free software usually encounters a lot of installation and use of the problem, such as 😞 network problems caused by the model file that can not be downloaded and updated 😞, 😞a variety of headaches gpu driver😞, 😞plug-ins lack of dependent libraries and other issues😞. These are very annoying invisible thresholds. fooocusControl is committed to solving these problems.
• FooocusControl has no external dependencies, all the dependencies are built into the software.
• FooocusControl provides both online(light) and offline(massive) download methods, the offline(massive) version will download all the models built into the software, which is very friendly to users who need to run offline, or those who have a bad network.
• Outside the windows platform, FooocusControl will try to use docker and other technologies to further simplify the user installation, to avoid various gpu and dependency problems to the greatest extent possible.
• FooocusControl will add multiple download sources for each model (coming soon) to prevent models from being downloaded or updated due to network problems.

💡 中国用户友好

• FooocusControl将会针对每一个模型添加多个下载源(即将上线)，防止因网络问题导致模型无法下载或者更新..
• windows平台上offline下载方式基本避免网络问题
• 中文翻译(即将上线)
• 代码码云镜像(https://gitee.com/fenneishi/Fooocus-ControlNet-SDXL)

🔖Free Install Fooocus-ControlNet-SDXL

<center>🍇show case🍇</center>

Sketch

Using a sketch image as a prompt input to👉👉👉generate an image incorporating sketch elements.Awesome!!! Can be used for anything now!

ImagePrompt

Using an image as a prompt input➕one-sentence description👉👉👉A perfect image.

ImagePrompt+Depth

Background image controls the backgroundposture image➕ controls the pose➕one-sentence description👉👉👉You can achieve any 3D result with the background and pose you desire.

Canny

Picture as a prompt, AI extracts 3D wireframe information from the image➕one-sentence description👉👉👉A picture that perfectly aligns with 3D wireframe information.

Depth

Picture as a prompt, AI extracts 3D information from the image ➕ one-sentence description👉👉👉A perfectly 3D-informed image.

Pose

:face Using a facial pose from an image as a prompt to control input👉👉👉it generates an image with a specific facial pose consistent with it. This is perfect for making model images and design illustrations, it's simply unbeatable!

Recolor

Using an image as a prompt input to👉👉👉re-color it.

MaskInpaint

<center>🛠️install🛠️</center>

Windows

1️⃣ download the software

PS : offline is the old version,please use online version

2️⃣ unzip the file(Unzip Password:ddert657)

3️⃣ click 'run.bat' to run the software

4️⃣ 👏👏👏 Having fun👏👏👏

Q&A

After Fooocus-ControlNet-SDXL 2.1.60(for convenience, the version of Fooocus-ControlNet-SDXL follows fooocus), you will also have run_anime.bat and run_realistic.bat. They are different model presets (and requires 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.

For faster rendering speeds and reduced computer lag, consider buy more RAM. This is the most cost-effective solution, as RAM is significantly cheaper than graphics memory (VRAM). Cost-effective option suggestion: 🚀 32GB of RAM + 8GB of VRAM 🚀or 🚀48GB of RAM + 8GB of VRAM 🚀

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:

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.

Colab

Colab	Info
	FooocusControl Official

Note that this Colab will disable refiner by default because Colab free's resource is relatively limited.

Thanks to camenduru!

Linux (Using Anaconda)

git clone https://github.com/fenneishi/Fooocus-ControlNet-SDXL.git
cd Fooocus
conda env create -f environment.yaml
conda activate fooocusControl
pip install pygit2==1.12.2

Then download the models: download sd_xl_base_1.0_0.9vae.safetensors from here as the file "Fooocus\models\checkpoints\sd_xl_base_1.0_0.9vae.safetensors", and download sd_xl_refiner_1.0_0.9vae.safetensors from here as the file "Fooocus\models\checkpoints\sd_xl_refiner_1.0_0.9vae.safetensors". Or let Fooocus automatically download the models using the launcher:

conda activate fooocusControl
python entry_with_update.py

Or if you want to open a remote port, use

conda activate fooocusControl
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)

git clone https://github.com/fenneishi/Fooocus-ControlNet-SDXL.git
cd Fooocus
python3 -m venv fooocus_control_env
source fooocus_control_env/bin/activate
pip install pygit2==1.12.2

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

source fooocus_control_env/bin/activate
python entry_with_update.py

Or if you want to open a remote port, use

source fooocus_control_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)

git clone https://github.com/fenneishi/Fooocus-ControlNet-SDXL.git
cd Fooocus
pip3 install pygit2==1.12.2

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)

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)

.\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.

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

Mac

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/fenneishi/Fooocus-ControlNet-SDXL.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 fooocusControl.
6. Install the pygit2, pip install pygit2==1.12.2.
7. Install the packages required by Fooocus, pip install -r requirements_versions.txt.
8. Launch Fooocus by running python entry_with_update.py. The first time you run Fooocus, it will automatically download the Stable Diffusion SDXL models and will take a significant 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.

<center>💤Customization your path💤</center>

After the first time you run Fooocus, a config file will be generated at Fooocus\user_path_config.txt. This file can be edited for changing the model path. You can also change some parameters to turn Fooocus into "your Fooocus".

For example "realisticStockPhoto_v10" is a pretty good model from CivitAI. This model needs a special CFG=3.0 and probably works better with some specific styles. Below is an example config to turn Fooocus into a "Fooocus Realistic Stock Photo Software":

Fooocus\user_path_config.txt:

{
  "modelfile_path": "D:\\Fooocus\\models\\checkpoints",
  "lorafile_path": "D:\\Fooocus\\models\\loras",
  "vae_approx_path": "D:\\Fooocus\\models\\vae_approx",
  "upscale_models_path": "D:\\Fooocus\\models\\upscale_models",
  "inpaint_models_path": "D:\\Fooocus\\models\\inpaint",
  "controlnet_models_path": "D:\\Fooocus\\models\\controlnet",
  "clip_vision_models_path": "D:\\Fooocus\\models\\clip_vision",
  "fooocus_expansion_path": "D:\\Fooocus\\models\\prompt_expansion\\fooocus_expansion",
  "temp_outputs_path": "D:\\Fooocus\\outputs",
  "default_model": "realisticStockPhoto_v10.safetensors",
  "default_refiner": "",
  "default_lora": "",
  "default_lora_weight": 0.25,
  "default_cfg_scale": 3.0,
  "default_sampler": "dpmpp_2m",
  "default_scheduler": "karras",
  "default_negative_prompt": "low quality",
  "default_positive_prompt": "",
  "default_styles": [
    "Fooocus V2",
    "Default (Slightly Cinematic)",
    "SAI Photographic"
  ]
}

<center>🔥About Fooocus(Thanks to lllyasviel great work! )🔥</center>

Fooocus is an image generating software (based on Gradio).

Fooocus is a rethinking of Stable Diffusion and Midjourney’s designs:

• Learned from Stable Diffusion, the software is offline, open source, and free.

• Learned from Midjourney, the manual tweaking is not needed, and users only need to focus on the prompts and images.

Fooocus has included and automated lots of inner optimizations and quality improvements. Users can forget all those difficult technical parameters, and just enjoy the interaction between human and computer to "explore new mediums of thought and expanding the imaginative powers of the human species" [1].

Fooocus has 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).

[1] David Holz, 2019.

Moving from Midjourney to Fooocus

Using Fooocus is as easy as (probably easier than) Midjourney – but this does not mean we lack functionality. Below are the details.

We also have a few things borrowed from the best parts of LeonardoAI:

Fooocus also developed many "fooocus-only" features for advanced users to get perfect results. Click here to browse the advanced features.

List of "Hidden" Tricks

<a name="tech_list"></a>

Below things are already inside the software, and users do not need to do anything about these.

GPT2-based prompt expansion as a dynamic style "Fooocus V2". ( similar to Midjourney's hidden pre-processsing and "raw" mode, or the LeonardoAI's Prompt Magic).

2. Native refiner swap inside one single k-sampler. The advantage is that now the refiner model can reuse the base model's momentum (or ODE's history parameters) collected from k-sampling to achieve more coherent sampling. In Automatic1111's high-res fix and ComfyUI's node system, the base model and refiner use two independent k-samplers, which means the momentum is largely wasted, and the sampling continuity is broken. Fooocus uses its own advanced k-diffusion sampling that ensures seamless, native, and continuous swap in a refiner setup. (Update Aug 13: Actually I discussed this with Automatic1111 several days ago and it seems that the “native refiner swap inside one single k-sampler” is merged into the dev branch of webui. Great!)
3. Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App Drawing Things will support Negative ADM Guidance. Great!)
4. We implemented a carefully tuned variation of the Section 5.1 of "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance". The weight is set to very low, but this is Fooocus's final guarantee to make sure that the XL will never yield overly smooth or plastic appearance (examples here). This can almostly eliminate all cases that XL still occasionally produce overly smooth results even with negative ADM guidance. (Update 2023 Aug 18, the Gaussian kernel of SAG is changed to an anisotropic kernel for better structure preservation and fewer artifacts.)
5. We modified the style templates a bit and added the "cinematic-default".
6. We tested the "sd_xl_offset_example-lora_1.0.safetensors" and it seems that when the lora weight is below 0.5, the results are always better than XL without lora.
7. The parameters of samplers are carefully tuned.
8. Because XL uses positional encoding for generation resolution, images generated by several fixed resolutions look a bit better than that from arbitrary resolutions (because the positional encoding is not very good at handling int numbers that are unseen during training). This suggests that the resolutions in UI may be hard coded for best results.
9. Separated prompts for two different text encoders seem unnecessary. Separated prompts for base model and refiner may work but the effects are random, and we refrain from implement this.
10. DPM family seems well-suited for XL, since XL sometimes generates overly smooth texture but DPM family sometimes generate overly dense detail in texture. Their joint effect looks neutral and appealing to human perception.
11. A carefully designed system for balancing multiple styles as well as prompt expansion.
12. Using automatic1111's method to normalize prompt emphasizing. This significantly improve results when users directly copy prompts from civitai.
13. The joint swap system of refiner now also support img2img and upscale in a seamless way.
14. CFG Scale and TSNR correction (tuned for SDXL) when CFG is bigger than 10.

Customization

After the first time you run Fooocus, a config file will be generated at Fooocus\user_path_config.txt. This file can be edited for changing the model path. You can also change some parameters to turn Fooocus into "your Fooocus".

For example "realisticStockPhoto_v10" is a pretty good model from CivitAI. This model needs a special CFG=3.0 and probably works better with some specific styles. Below is an example config to turn Fooocus into a "Fooocus Realistic Stock Photo Software":

Fooocus\user_path_config.txt:

{
  "modelfile_path": "D:\\Fooocus\\models\\checkpoints",
  "lorafile_path": "D:\\Fooocus\\models\\loras",
  "vae_approx_path": "D:\\Fooocus\\models\\vae_approx",
  "upscale_models_path": "D:\\Fooocus\\models\\upscale_models",
  "inpaint_models_path": "D:\\Fooocus\\models\\inpaint",
  "controlnet_models_path": "D:\\Fooocus\\models\\controlnet",
  "clip_vision_models_path": "D:\\Fooocus\\models\\clip_vision",
  "fooocus_expansion_path": "D:\\Fooocus\\models\\prompt_expansion\\fooocus_expansion",
  "temp_outputs_path": "D:\\Fooocus\\outputs",
  "default_model": "realisticStockPhoto_v10.safetensors",
  "default_refiner": "",
  "default_lora": "",
  "default_lora_weight": 0.25,
  "default_cfg_scale": 3.0,
  "default_sampler": "dpmpp_2m",
  "default_scheduler": "karras",
  "default_negative_prompt": "low quality",
  "default_positive_prompt": "",
  "default_styles": [
    "Fooocus V2",
    "Default (Slightly Cinematic)",
    "SAI Photographic"
  ]
}

Consider twice before you really change the config. If you find yourself breaking things, just delete Fooocus\user_path_config.txt. Fooocus will go back to default.

A safter way is just to try "run_anime.bat" or "run_realistic.bat" - they should be already good enough for different tasks.

Advanced Features

Click here to browse the advanced features.

Fooocus also has many community forks, just like SD-WebUI, for enthusiastic users who want to try!

See also About Forking and Promotion of Forks.

Thanks

Fooocus is powered by FCBH backend, which starts from an odd mixture of Automatic1111 and ComfyUI.

Special thanks to twri and 3Diva for creating additional SDXL styles available in Fooocus.

Update Log

The log is here.