 This repository hosts the TFLite version of `text encoder` part of [KerasCV Stable Diffusion](https://github.com/keras-team/keras-cv/tree/master/keras_cv/models/stable_diffusion).   Stable Diffusion consists of `text encoder`, `diffusion model`, `decoder`, and some glue codes to handl inputs and outputs of each part. The TFLite version of `text encoder` in this repository is built not only with the `text encoder` itself but also TensorFlow operations that generates `context` and `unconditional context`. These output should be passed down to the `diffusion model` which is hosted in [this repository](https://huggingface.co/keras-sd/diffusion-model-tflite/tree/main).  TFLite conversion was based on the `SavedModel` from [this repository](https://huggingface.co/keras-sd/tfs-text-encoder/tree/main), and TensorFlow version `>= 2.12-nightly` was used.   - NOTE: [Dynamic range quantization](https://www.tensorflow.org/lite/performance/post_training_quant