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
Download validation.json from frankdu/SD-Turbo-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 809 Bytes
-
https://huggingface.co/frankdu/SD-Turbo-LiteRT/resolve/main/validation.json
- Command line
-
hf download hf://frankdu/SD-Turbo-LiteRT/validation.json
-
curl -L -o validation.json https://huggingface.co/frankdu/SD-Turbo-LiteRT/resolve/main/validation.json
809 Bytes
| { | |
| "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 | |
| } | |