Models
FLUX.1 Redux is an adapter for the FLUX.1 text-to-image base models, FLUX.1 [dev] and FLUX.1 [schnell], which can be used to generate image variations. In addition, FLUX.1 Redux [pro] is available in our API and, augmenting the [dev] adapter, the API endpoint allows users to modify an image given a textual description. The feature is supported in our latest model FLUX1.1 [pro] Ultra, allowing for combining input images and text prompts to create high-quality 4-megapixel outputs with flexible aspect ratios.
| Name | HuggingFace repo | License | sha256sum |
|---|---|---|---|
FLUX.1 Redux [dev] |
https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev | FLUX.1-dev Non-Commercial License | a1b3bdcb4bdc58ce04874b9ca776d61fc3e914bb6beab41efb63e4e2694dca45 |
FLUX.1 Redux [pro] |
Available in our API. Supports image variations. | ||
FLUX1.1 Redux [pro] Ultra |
Available in our API. Supports image variations based on a text prompt. |
Examples
Open-weights usage
The text-to-image base model weights and the autoencoder weights will be downloaded automatically from HuggingFace once you start the demo. To download FLUX.1 [dev], you will need to be logged in, see here. You need to manually download the adapter weights from here and specify them via an environment variable export FLUX_REDUX=<path_to_flux_redux_sft_file>. In general, you may specify any manually downloaded weights via environment variables:
export FLUX_REDUX=<path_to_flux_redux_sft_file>
export FLUX_SCHNELL=<path_to_flux_schnell_sft_file>
export FLUX_DEV=<path_to_flux_dev_sft_file>
export AE=<path_to_ae_sft_file>
For interactive sampling run
python -m src.flux.cli_redux --loop --name <name>
where name is one of flux-dev or flux-schnell.