| ## Models | |
| FLUX.1 Fill introduces advanced inpainting and outpainting capabilities. It allows for seamless edits that integrate naturally with existing images. | |
| | Name | HuggingFace repo | License | sha256sum | | |
| | ------------------- | -------------------------------------------------------- | --------------------------------------------------------------------- | ---------------------------------------------------------------- | | |
| | `FLUX.1 Fill [dev]` | https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev | [FLUX.1-dev Non-Commercial License](model_licenses/LICENSE-FLUX1-dev) | 03e289f530df51d014f48e675a9ffa2141bc003259bf5f25d75b957e920a41ca | | |
| | `FLUX.1 Fill [pro]` | Only available in our API. | | |
| ## Examples | |
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| ## Open-weights usage | |
| The weights will be downloaded automatically from HuggingFace once you start one of the demos. To download `FLUX.1 Fill [dev]`, you will need to be logged in, see [here](https://huggingface.co/docs/huggingface_hub/guides/cli#huggingface-cli-login). Alternatively, if you have downloaded the model weights manually from [here](https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev), you can specify the downloaded paths via environment variables: | |
| ```bash | |
| export FLUX_DEV_FILL=<path_to_flux_dev_fill_sft_file> | |
| export AE=<path_to_ae_sft_file> | |
| ``` | |
| For interactive sampling run | |
| ```bash | |
| python -m src.flux.cli_fill --loop | |
| ``` | |
| Or to generate a single sample run | |
| ```bash | |
| python -m src.flux.cli_fill \ | |
| --img_cond_path <path_to_input_image> \ | |
| --img_cond_mask <path_to_input_mask> | |
| ``` | |
| The input_mask should be an image of the same size as the conditioning image that only contains black and white pixels; see [an example mask](../assets/cup_mask.png) for [this image](../assets/cup.png). | |
| We also provide an interactive streamlit demo. The demo can be run via | |
| ```bash | |
| streamlit run demo_st_fill.py | |
| ``` | |