| .gitattributes | ||
| FeyNoBg-F16.gguf | ||
| README.md | ||
| scunet-color-real-gan-F16.gguf | ||
| scunet-color-real-psnr-F16.gguf | ||
transparent-models
Model checkpoints for transparent, a local, GPU-accelerated background-removal and image-editing toolkit for Linux. The app downloads these on demand and verifies each file against the SHA-256 recorded in its model catalog.
All checkpoints are F16 GGUF conversions for inference with vision.cpp (ggml, Vulkan/CPU). Stored via Git LFS.
Denoising (SCUNet)
Swin-Conv-UNet blind real-world color denoising
(cszn/SCUNet, Zhang et al. 2022, Apache-2.0).
Converted from the upstream .pth checkpoints by the vision.cpp fork's
scripts/convert.py scunet. 1:1 resolution (no upscaling). Large images are tiled
internally.
| File | Variant | Size | Notes |
|---|---|---|---|
scunet-color-real-gan-F16.gguf |
real GAN | ~36 MB | Sharper results, occasional artifacts. App default. |
scunet-color-real-psnr-F16.gguf |
real PSNR | ~36 MB | Smoother, cleaner metrics. |
Integrity (SHA-256, also recorded in the app's ModelCatalog):
692e7b7d24979a1fc2ca15f2984ded55ff7b6f7bf24882a7c9aa81a03a0c9a7e scunet-color-real-gan-F16.gguf
e839ee6839f265b254d498510bdb3c2e62700b8b34cfe8679408511b5c4c5254 scunet-color-real-psnr-F16.gguf
Segmentation (FeyNoBg)
BiRefNet with a deepened Swin-L stage 3 (feyninc/FeyNobg,
Apache-2.0). Converted from the upstream .safetensors by the vision.cpp fork's
scripts/convert.py birefnet, which maps the timm-style backbone keys and records the
non-default stage depths in the GGUF.
| File | Size | Notes |
|---|---|---|
FeyNoBg-F16.gguf |
~526 MB | Fixed 1024x1024 inference. |
Integrity (SHA-256, also recorded in the app's ModelCatalog):
110854aec5f093a630b31722b5d633d132bc1f4233a1976d80c304df9a566f89 FeyNoBg-F16.gguf
Adding models
Convert (or obtain) the GGUF, place it in this directory, and add an LFS rule for its extension if not already tracked:
git lfs track "*.gguf"
git add file.gguf .gitattributes
Then register the model in the app's ModelCatalog (src/core/ModelCatalog.cpp) with
its filename, license, size, download URL and SHA-256. Models are fetched from this
repo's raw LFS URLs: .../media/branch/main/<file>.