Instructions to use frankdu/SD-Turbo-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use frankdu/SD-Turbo-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 809 Bytes
d4cc937 | 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 | {
"export": "PASS_ALL_SHARD_PARITY_CHECKS",
"fullCpuPlanReplay": "PASS",
"outputDimensions": [
512,
512
],
"source": {
"repository": "stabilityai/sd-turbo",
"revision": "b261bac6fd2cf515557d5d0707481eafa0485ec2",
"model": "SD_TURBO",
"format": "diffusers"
},
"parity": {
"modelId": "SD_TURBO",
"backend": "desktop LiteRT CPU",
"psnrVsExportReference": 79.75544272432666,
"elapsedSeconds": 9.045017776999885,
"actions": 24,
"deviceValidated": false
},
"noiseForDesktopParity": "PyTorch seed 42; Android uses a different Java random stream",
"visualReview": "PASS_RECOGNIZABLE_APPLE",
"date": "2026-10-24",
"backend": "desktop LiteRT CPU",
"androidDeviceValidated": false,
"androidGpuValidated": false,
"tensorTpuValidated": false
}
|