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• Introduction
  • Fooocus
  • Fooocus-API
• Get-Start
  • Run with Replicate
  • Self hosted
    • conda
    • venv
    • predownload and install
    • already exist Fooocus
  • Start with docker
• cmd flags
• Change log
• Apis
• License
• Thanks 💜

Introduction

FastAPI powered API for Fooocus.

Currently loaded Fooocus version: 2.1.860.

Fooocus

This part from Fooocus project.

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"

Fooocus-API

I think you must have tried to use Gradio client to call Fooocus, which was a terrible experience for me.

Fooocus API uses FastAPI provides the REST API for using Fooocus. Now, you can use Fooocus's powerful ability in any language you like.

In addition, we also provide detailed documentation and sample code

Get-Start

Run with Replicate

Now you can use Fooocus-API by Replicate, the model is on konieshadow/fooocus-api.

With preset:

• konieshadow/fooocus-api-anime
• konieshadow/fooocus-api-realistic

I believe this is the easiest way to generate image with Fooocus's power.

Self hosted

You need python version >= 3.10, or use conda to create a new env.

The hardware requirements are what Fooocus needs. You can find detail here

conda

You can easily start app follow this step use conda:

conda env create -f environment.yaml
conda activate fooocus-api

and then, run python main.py to start app, default, server is listening on http://127.0.0.1:8888

If you are running the project for the first time, you may have to wait for a while, during which time the program will complete the rest of the installation and download the necessary models. You can also do these steps manually, which I'll mention later.

venv

Similar to using conda, create a virtual environment, and then start and wait for a while

# windows
python -m venv venv
.\venv\Scripts\Activate

# linux
python -m venv venv
source venv/bin/activate

and then, run python main.py

predownload and install

If you want to deal with environmental problems manually and download the model in advance, you can refer to the following steps

After creating a complete environment using conda or venv, you can manually complete the installation of the subsequent environment, just follow

first, install requirements pip install -r requirements.txt

then, pytorch with cuda pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu121 , you can find more info about this here,

It is important to note that for pytorch and cuda versions, the recommended version of Fooocus is used, which is currently pytorch2.1.0+cuda12.1. If you insist, you can also use other versions, but you need to add --skip-pip when you start app, otherwise the recommended version will be installed automatically

next, make a dir named repositories and clone https://github.com/lllyasviel/Fooocus in to it. You must be use git clone but not download zip. If you have an existing Fooocus, please see here

last, you can download models and put it into repositories\Fooocus\models

here is a list need to download for startup (for different startup params maybe difference):

• checkpoint: path to repositories\Fooocus\models\checkpoints

  • juggernautXL_version6Rundiffusion.safetensors

• vae_approx: path to repositories\Fooocus\models\vae_approx

  • xlvaeapp.pth
  • vaeapp_sd15.pth
  • xl-to-v1_interposer-v3.1.safetensors

• lora: path to repositories\Fooocus\models\loras

  • sd_xl_offset_example-lora_1.0.safetensors

I've uploaded the model I'm using, which contains almost all the base models that Fooocus will use! I put it here 提取码: D4Mk

already exist Fooocus

If you already have Fooocus installed, and it is work well, The recommended way is to reuse models, you just simple copy config.txt file from your local Fooocus folder to Fooocus-API root folder. See Customization for details.

Use this method you will have both Fooocus and Fooocus-API running at the same time. And they operate independently and do not interfere with each other.

It is not recommended to copy an existing Fooocus installation directly to the repository's directory. If you insist on doing this, please make sure that the Fooocus directory is a Git repository, otherwise the program will not start properly

Start with docker

Before use docker with GPU, you should install NVIDIA Container Toolkit first.

Run

docker run -d --gpus=all \
    -e NVIDIA_DRIVER_CAPABILITIES=compute,utility \
    -e NVIDIA_VISIBLE_DEVICES=all \
    -p 8888:8888 konieshadow/fooocus-api

For a more complex usage:

mkdir ~/repositories
mkdir -p ~/.cache/pip

docker run -d --gpus=all \
    -e NVIDIA_DRIVER_CAPABILITIES=compute,utility \
    -e NVIDIA_VISIBLE_DEVICES=all \
    -v ~/repositories:/app/repositories \
    -v ~/.cache/pip:/root/.cache/pip \
    -p 8888:8888 konieshadow/fooocus-api

It will be persistent the dependent repositories and pip cache.

You can add -e PIP_INDEX_URL={pypi-mirror-url} to docker run command to change pip index url.

cmd flags

• -h, --help show this help message and exit
• --port PORT Set the listen port, default: 8888
• --host HOST Set the listen host, default: 127.0.0.1
• --base-url BASE_URL Set base url for outside visit, default is http://host:port
• --log-level LOG_LEVEL Log info for Uvicorn, default: info
• --sync-repo SYNC_REPO Sync dependent git repositories to local, 'skip' for skip sync action, 'only' for only do the sync action and not launch app
• --skip-pip Skip automatic pip install when setup
• --preload-pipeline Preload pipeline before start http server
• --queue-size QUEUE_SIZE Working queue size, default: 100, generation requests exceeding working queue size will return failure
• --queue-history QUEUE_HISTORY Finished jobs reserve size, tasks exceeding the limit will be deleted, including output image files, default: 0, means no limit
• --webhook-url WEBHOOK_URL Webhook url for notify generation result, default: None
• --persistent Store history to db
• --apikey APIKEY Set apikey to enable secure api, default: None

Since v0.3.25, added CMD flags support of Fooocus. You can pass any argument which Fooocus supported.

For example, to startup image generation (need more vRAM):

python main.py --all-in-fp16 --always-gpu

For Fooocus CMD flags, see here.

Change log

[24/01/31] v0.3.30 : Add secure API future, use --apikey APIKEY to set apikey at startup

[24/01/26] v0.3.30 : Optimize the underlying logic of task execution, default queue size to 100

[24/01/10] v0.3.29 : support for store history to db

[24/01/09] v0.3.29 : Image Prompt Mixing requirements implemented, With this implementation, you can send image prompts, and perform inpainting or upscale with a single request.

[24/01/04] v0.3.29 : Merged Fooocus v2.1.860

[24/01/03] v0.3.28 : add text-to-image-with-ip interface

[23/12/29] v0.3.27 : Add describe interface，now you can get prompt from image

[23/12/29] v0.3.27 : Add query job history api. Add webhook_url support for each generation request.

[23/12/28] v0.3.26 : Break Change: Add web-hook cmd flag for notify generation result. Change async job id to uuid to avoid conflict between each startup.

[23/12/22] v0.3.25 : Add CMD flags support of Fooocus. Break Change: Removed cli argument disable-private-log. You can use Fooocus's --disable-image-log for the same purpose.

older change history you can find in release page

Apis

you can find all api detail here

License

Thanks 💜

Thanks for all your contributions and efforts towards improving the Fooocus API. We thank you for being part of our ✨ community ✨!