| ## Models | |
| Structural conditioning uses canny edge or depth detection to maintain precise control during image transformations. By preserving the original image's structure through edge or depth maps, users can make text-guided edits while keeping the core composition intact. This is particularly effective for retexturing images. We release four variations: two based on edge maps (full model and LoRA for FLUX.1 [dev]) and two based on depth maps (full model and LoRA for FLUX.1 [dev]). | |
| | Name | HuggingFace repo | License | sha256sum | | |
| | ------------------------- | -------------------------------------------------------------- | --------------------------------------------------------------------- | ---------------------------------------------------------------- | | |
| | `FLUX.1 Canny [dev]` | https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev | [FLUX.1-dev Non-Commercial License](model_licenses/LICENSE-FLUX1-dev) | 996876670169591cb412b937fbd46ea14cbed6933aef17c48a2dcd9685c98cdb | | |
| | `FLUX.1 Depth [dev]` | https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev | [FLUX.1-dev Non-Commercial License](model_licenses/LICENSE-FLUX1-dev) | 41360d1662f44ca45bc1b665fe6387e91802f53911001630d970a4f8be8dac21 | | |
| | `FLUX.1 Canny [dev] LoRA` | https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev-lora | [FLUX.1-dev Non-Commercial License](model_licenses/LICENSE-FLUX1-dev) | 8eaa21b9c43d5e7242844deb64b8cf22ae9010f813f955ca8c05f240b8a98f7e | | |
| | `FLUX.1 Depth [dev] LoRA` | https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev-lora | [FLUX.1-dev Non-Commercial License](model_licenses/LICENSE-FLUX1-dev) | 1938b38ea0fdd98080fa3e48beb2bedfbc7ad102d8b65e6614de704a46d8b907 | | |
| | `FLUX.1 Canny [pro]` | [Available in our API](https://docs.bfl.ml/). | | |
| | `FLUX.1 Depth [pro]` | [Available in our API](https://docs.bfl.ml/). | | |
| ## Examples | |
|  | |
|  | |
| ## Open-weights usage | |
| The full model weights (`FLUX.1 Canny [dev], Flux.1 Depth [dev], FLUX.1 [dev], and the autoencoder) will be downloaded automatically from HuggingFace once you start one of the demos. To download them, you will need to be logged in, see [here](https://huggingface.co/docs/huggingface_hub/guides/cli#huggingface-cli-login). The LoRA weights are not downloaded automatically, but can be downloaded manually [here (Canny)](https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev-lora) and [here (Depth)](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev-lora). You may specify any manually downloaded weights via environment variables: (**necessary for LoRAs**): | |
| ```bash | |
| export FLUX_DEV_DEPTH=<path_to_flux_dev_depth_sft_file> | |
| export FLUX_DEV_CANNY=<path_to_flux_dev_canny_sft_file> | |
| export FLUX_DEV_DEPTH_LORA=<path_to_flux_dev_depth_lora_sft_file> | |
| export FLUX_DEV_CANNY_LORA=<path_to_flux_dev_canny_lora_sft_file> | |
| 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 | |
| ```bash | |
| python -m src.flux.cli_control --loop --name <name> | |
| ``` | |
| where `name` is one of `flux-dev-canny`, `flux-dev-depth`, `flux-dev-canny-lora`, or `flux-dev-depth-lora`. | |