| --- |
| license: apache-2.0 |
| library_name: onnx |
| pipeline_tag: image-to-image |
| tags: |
| - lama |
| - inpainting |
| - object-removal |
| - onnx |
| --- |
| |
| # LaMa (ONNX) — object-removal inpainting |
|
|
| `lama_fp32.onnx` — an ONNX export of **LaMa** (big-lama) for image inpainting |
| (erasing a masked object and filling the hole). Runs client-side with |
| onnxruntime-web on the WASM or WebGPU execution providers. |
|
|
| A verbatim mirror of |
| [`Carve/LaMa-ONNX`](https://huggingface.co/Carve/LaMa-ONNX)'s `lama_fp32.onnx`, |
| hosted so a single, immutable, CORS-enabled copy backs the Edge Tools |
| "Remove Object" tool. |
|
|
| ## Inputs / outputs |
|
|
| - **Inputs:** `image` float32 `[1, 3, 512, 512]`, `mask` float32 `[1, 1, 512, 512]` |
| - **Output:** `output` float32 `[1, 3, 512, 512]` — the inpainted image |
| - RGB, channels-first (CHW). Image values in 0..1; **mask polarity: `1` = erase |
| (the hole), `0` = keep.** The output is the raw fill (0..255), composited over |
| the original by the caller so only the hole changes. Spatial size is **fixed at |
| 512×512** (resize to it, then back). |
|
|
| ## Provenance & license |
|
|
| - **Algorithm / weights:** **LaMa** — *Resolution-robust Large Mask Inpainting |
| with Fourier Convolutions* (Suvorov et al., WACV 2022), |
| [advimman/lama](https://github.com/advimman/lama). The `big-lama` weights are |
| released under the **Apache-2.0 license**. |
| - **ONNX export:** |
| [Carve/LaMa-ONNX](https://huggingface.co/Carve/LaMa-ONNX) (`lama_fp32.onnx`). |
| - The full **Apache-2.0 `LICENSE`** is included in this repo. |
|
|
