Model reference · open weights

react-native-executorch-style-transfer-candy

Not for GPU servers Image software-mansion Image edit 1 build Open weights 575 dl/mo

react-native-executorch-style-transfer-candy is an open-weight image model from software-mansion. Built for phones (ExecuTorch). It does not run on a GPU server.

  • The react-native-executorch-style-transfer-candy model is an image-to-image style transfer model developed by software-mansion.
  • It is exported as ExecuTorch .pte programs for on-device execution within the React Native ExecuTorch library.
  • The model is available in coreml fp16, xnnpack fp32, and xnnpack int8 variants, is compatible with the ExecuTorch v1.4.1 runtime, and is released under the bsd-3-clause licence.

Summary of the software-mansion/react-native-executorch-style-transfer-candy model card, 2026-10-01

What it is

Released bysoftware-mansion
Released2024-12-16

From the model card

What software-mansion says about react-native-executorch-style-transfer-candy

Read the model card

This repository hosts the style-transfer-candy models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Upstream model: style transfer

Variants

PathBackendPrecision
coreml/style_transfer_candy_coreml_fp16.ptecoremlfp16
xnnpack/style_transfer_candy_xnnpack_fp32.ptexnnpackfp32
xnnpack/style_transfer_candy_xnnpack_int8.ptexnnpackint8

Unshipped backends

A backend directory carrying a NOTES.md and no .pte was exported and not published. Its note records what went wrong.

Repository structure

LICENSE                                        3.4 kB
config.json                                    42 B
coreml/config.json                             889 B
coreml/style_transfer_candy_coreml_fp16.pte    3.6 MB
mlx/NOTES.md                                   2.6 kB
xnnpack/config.json                            1.4 kB
xnnpack/style_transfer_candy_xnnpack_fp32.pte  6.5 MB
xnnpack/style_transfer_candy_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.

To load these files in your own ExecuTorch runtime, read the compatibility note first.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Running it

Where it runs

Built for phones (ExecuTorch). It does not run on a GPU server.

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