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@@ -13,5 +13,6 @@ This repository hosts the TFLite version of `text encoder` part of [KerasCV Stab
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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).
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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.
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- NOTE: TensorFlow version `< 2.12-nightly` will fail for the conversion process.
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- NOTE: For those who wonder how `SavedModel` is constructed, find it in [keras-sd-serving repository](https://github.com/deep-diver/keras-sd-serving).
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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).
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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.
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- NOTE: [Dynamic range quantization](https://www.tensorflow.org/lite/performance/post_training_quant#optimizing_an_existing_model) was used.
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- NOTE: TensorFlow version `< 2.12-nightly` will fail for the conversion process.
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- NOTE: For those who wonder how `SavedModel` is constructed, find it in [keras-sd-serving repository](https://github.com/deep-diver/keras-sd-serving).
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