freedomtan/keras_cv_stable_diffusion_to_tflite

Scripts for converting Keras CV Stable Diffusion to tflite

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Emerging

This project helps machine learning engineers and mobile developers adapt Stable Diffusion models built with Keras CV for deployment on resource-constrained devices like mobile phones or embedded systems. It takes Keras CV Stable Diffusion models and converts them into TFLite models, which are optimized for on-device inference. The output is smaller, more efficient models that can run directly on edge devices.

No commits in the last 6 months.

Use this if you are a machine learning engineer or mobile developer looking to deploy Keras CV Stable Diffusion models on edge devices where computational resources are limited.

Not ideal if you are an end-user simply looking to generate images with Stable Diffusion and do not need to customize model deployment on specific hardware.

edge-AI mobile-deployment on-device-inference model-optimization deep-learning-deployment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

33

Forks

6

Language

Jupyter Notebook

License

BSD-3-Clause

Last pushed

Jun 06, 2024

Commits (30d)

0

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