Skip to content

Latest commit

 

History

History
44 lines (30 loc) · 2.09 KB

fill.md

File metadata and controls

44 lines (30 loc) · 2.09 KB
Raw

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 03e289f530df51d014f48e675a9ffa2141bc003259bf5f25d75b957e920a41ca
FLUX.1 Fill [pro] Only available in our API.

Examples

inpainting outpainting

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. Alternatively, if you have downloaded the model weights manually from here, you can specify the downloaded paths via environment variables:

export FLUX_DEV_FILL=<path_to_flux_dev_fill_sft_file>
export AE=<path_to_ae_sft_file>

For interactive sampling run

python -m src.flux.cli_fill --loop

Or to generate a single sample run

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 for this image.

We also provide an interactive streamlit demo. The demo can be run via

streamlit run demo_st_fill.py