File size: 2,142 Bytes
d08556e 8181703 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 d08556e 9c7a1b7 a2c868b d08556e 9c7a1b7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | ---
license: bsd-3-clause
pipeline_tag: image-to-image
library_name: executorch
---
# style-transfer-rain-princess
This repository hosts the **style-transfer-rain-princess** models exported for the
[React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch)
library as ExecuTorch `.pte` programs, ready to run on device.
Upstream model: [style transfer](https://github.com/pytorch/examples/tree/main/fast_neural_style)
## Variants
| Path | Backend | Precision |
| --- | --- | --- |
| `coreml/style_transfer_rain_princess_coreml_fp16.pte` | coreml | fp16 |
| `xnnpack/style_transfer_rain_princess_xnnpack_fp32.pte` | xnnpack | fp32 |
| `xnnpack/style_transfer_rain_princess_xnnpack_int8.pte` | xnnpack | int8 |
## Unshipped backends
A backend directory carrying a `NOTES.md` and no `.pte` was exported and
not published. Its note records what went wrong.
- `mlx` ([why](https://huggingface.co/software-mansion/react-native-executorch-style-transfer-rain-princess/blob/main/mlx/NOTES.md))
## Repository structure
```
LICENSE 3.4 kB
config.json 50 B
coreml/config.json 905 B
coreml/style_transfer_rain_princess_coreml_fp16.pte 3.6 MB
mlx/NOTES.md 2.6 kB
xnnpack/config.json 1.5 kB
xnnpack/style_transfer_rain_princess_xnnpack_fp32.pte 6.5 MB
xnnpack/style_transfer_rain_princess_xnnpack_int8.pte 1.8 MB
```
## Compatibility
These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch
gives no forward compatibility guarantee, so an older runtime may fail to load
them.
To use them in React Native ExecuTorch, pass the model constant shipped in the
library's model registry to the corresponding task pipeline. See the
[documentation](https://docs.swmansion.com/react-native-executorch/docs/fundamentals/downloading-models).
To load these files in your own ExecuTorch runtime, read the
[compatibility note](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md)
first.
|