flux1-depth-dev-fp8 ControlNet model by BFL

Key Features

1. Cutting-edge output quality.

2. It blends impressive prompt adherence with maintaining the structure of source images based on depth maps.

3. Trained using guidance distillation, making FLUX.1 depth [dev] more efficient.

4. Open weights to drive new scientific research, and empower artists to develop innovative workflows.

5. Generated outputs can be used for personal, scientific, and commercial purposes as described in the FLUX.1 [dev] Non-Commercial License.

Usage

We provide a reference implementation of FLUX.1 Canny [dev], as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of FLUX.1 depth [dev] are encouraged to use this as a starting point.