BiRefNet Toonout GGUF

Run

Example inference with vision.cpp:

CLI

vision-cli birefnet -m BiRefNet-ToonOut-F16.gguf -i input.png -o mask.png --composite comp.png

C++

image_data image      = image_load("input.png");
backend_device device = backend_init();
birefnet_model model  = birefnet_load_model("BiRefNet-ToonOut-F16.gguf", device);
image_data mask       = birefnet_compute(model, image);
image_save(mask, "mask.png");

--- license: mit base_model: joelseytre/toonout tags: - background-removal - mask-generation - Dichotomous Image Segmentation - anime - vision.cpp pipeline_tag: image-segmentation --- # GGUF models for ToonOut ToonOut is a fine-tuned variant of BiRefNet specialized for background removal in anime-style images. The weights in this repository are converted for lightweight inference on consumer hardware with [vision.cpp](https://github.com/Acly/vision.cpp). * Original repository: [MatteoKartoon/BiRefNet (Github)](https://github.com/MatteoKartoon/BiRefNet) * Original weights: [joelseytre/toonout (HuggingFace)](https://huggingface.co/joelseytre/toonout) ## Run Example inference with [vision.cpp](https://github.com/Acly/vision.cpp): #### CLI ```sh vision-cli birefnet -m BiRefNet-ToonOut-F16.gguf -i input.png -o mask.png --composite comp.png ``` #### C++ ```c++ image_data image = image_load("input.png"); backend_device device = backend_init(); birefnet_model model = birefnet_load_model("BiRefNet-ToonOut-F16.gguf", device); image_data mask = birefnet_compute(model, image); image_save(mask, "mask.png"); ```