Deploying a powerful text-to-image generation model like Stable Diffusion 3.5 Large requires careful consideration of the infrastructure and resources needed to make it available to the public. First, we need to understand the resource requirements of Stable Diffusion 3.5 Large. This model is quite large, with significant memory and computational requirements. Before designing the deployment infrastructure, estimating the necessary number of servers, bandwidth, and storage capacity is crucial.

In the following sections, we’ll explore the System Design for deploying the image generation model, including resource requirements, design considerations, and other relevant technical details.

Model size estimation

We’ll consider the half-precision floating-point format (FP16) to estimate the model’s size, which takes 16 bits (2 bytes) per parameter. This yields us the following size:

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