Model card: LaMa and DDColor are XNNPACK only

README.md

@@ -20,14 +20,16 @@ a feature is used.
 
 Each model is a re-export of a published open model, converted for
 [ExecuTorch](https://github.com/pytorch/executorch) 1.4 with no retraining. `*_xnnpack.pte`
-files run on Android (XNNPACK, CPU); `*_coreml.pte` files run on iOS (Core ML, float16).
+files run on the CPU (XNNPACK, float32) on Android and iOS; `*_coreml.pte` files run on iOS
+(Core ML, float16). LaMa and DDColor ship as XNNPACK only: their float16 Core ML builds were
+not accurate enough, so iOS uses the XNNPACK files for them.
 
 | File | Model | Purpose | Upstream license |
 |---|---|---|---|
 | `realesrgan_x4v3_t256_{xnnpack,coreml}.pte` | [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) general x4v3 | 4x upscaling, 256 px tiles | BSD-3-Clause |
 | `bopbtl_scratch_t384_{xnnpack,coreml}.pte` | Scratch detection from [Bringing Old Photos Back to Life](https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life) | Finds scratches and tears, 384 px | MIT |
-| `lama_big_t512_{xnnpack,coreml}.pte` | [LaMa](https://github.com/advimman/lama) (big-lama) | Inpaints the damage, 512 px tiles | Apache-2.0 |
-| `ddcolor_paper_tiny_t512_{xnnpack,coreml}.pte` | [DDColor](https://github.com/piddnad/DDColor) tiny | Colorization, 512 px | Apache-2.0 |
+| `lama_big_t512_xnnpack.pte` | [LaMa](https://github.com/advimman/lama) (big-lama) | Inpaints the damage, 512 px tiles | Apache-2.0 |
+| `ddcolor_paper_tiny_t512_xnnpack.pte` | [DDColor](https://github.com/piddnad/DDColor) tiny | Colorization, 512 px | Apache-2.0 |
 
 Full license texts and copyright notices are in [`licenses/`](licenses). See
 [`LICENSE.md`](LICENSE.md) for details and changes made.