Stable Diffusion is making waves across the machine learning space with its new innovative approach for text-image generation. Stable Diffusion is a deep learning model released by StabilityAI in 2022, and it is mainly used for providing detailed images conditioned on text descriptions.
In this blog, we will walk you through how to deploy Stable Diffusion and run sub-1ms latency inference with a line of code!
To deploy Stable Diffusion with almost real-time inference, you'll need a few things:
pip install stochasticx
stochasticx stable-diffusion deploy --type aitemplate
stochasticx stable-diffusion infer --prompt "Riding a horse"
stochasticx stable-diffusion infer --help
stochasticx stable-diffusion logs
stochasticx stable-diffusion stop
Stable Diffusion is very versatile in both the prompts it can accept and the images it can generate. Below are some images generated using Stable Diffusion with a given prompt, across different types of optimizations.
Prompt: “The Easter bunny riding a motorcycle in New York City”
Text-image generation is becoming a huge deal in the machine learning world, with Stable Diffusion as one of the models to access text-image capabilities. Fortunately, anyone can deploy Stable Diffusion with the Stochastic X library through a few lines of code.
Speeding up other models with Stochastic X is just as easy. The Stochastic X platform automatically speeds up your deep learning models for you. To learn more, view our other blog articles, or contact us.
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