Mirror LaMa (big-lama) ONNX (lama_fp32) + Apache-2.0 LICENSE for the Edge Tools Remove Object tool

LICENSE

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README.md

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+---
+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.

lama_fp32.onnx

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