Official inference repo for FLUX.1 models

by Black Forest Labs: https://blackforestlabs.ai. Documentation for our API can be found here: docs.bfl.ml.

This repo contains minimal inference code to run image generation & editing with our Flux models.

cd $HOME && git clone https://github.com/black-forest-labs/flux
cd $HOME/flux
python3.10 -m venv .venv
source .venv/bin/activate
pip install -e ".[all]"

We are offering an extensive suite of models. For more information about the invidual models, please refer to the link under Usage.

The weights of the autoencoder are also released under apache-2.0 and can be found in the HuggingFace repos above.

Our API offers access to our models. It is documented here: docs.bfl.ml.

In this repository we also offer an easy python interface. To use this, you first need to register with the API on api.bfl.ml, and create a new API key.

To use the API key either run export BFL_API_KEY=<your_key_here> or provide it via the api_key=<your_key_here> parameter. It is also expected that you have installed the package as above.

Usage from python:

from flux.api import ImageRequest

# this will create an api request directly but not block until the generation is finished
request = ImageRequest("A beautiful beach", name="flux.1.1-pro")
# or: request = ImageRequest("A beautiful beach", name="flux.1.1-pro", api_key="your_key_here")

# any of the following will block until the generation is finished
request.url
# -> https:<...>/sample.jpg
request.bytes
# -> b"..." bytes for the generated image
request.save("outputs/api.jpg")
# saves the sample to local storage
request.image
# -> a PIL image

Usage from the command line:

$ python -m flux.api --prompt="A beautiful beach" url
https:<...>/sample.jpg

# generate and save the result
$ python -m flux.api --prompt="A beautiful beach" save outputs/api

# open the image directly
$ python -m flux.api --prompt="A beautiful beach" image show