Deploying MIGAN model to Serverless.
Hi, could someone recommend how to deploy the MIGAN model in a RunPod serverless wrapper?
There are 2 areas where I need advice:
Downloading the model
Invoking the model from Python to expose it in the RunPod wrapper.
I already have an implementation, but it is very bad and slow, when it should be very fast, as the model is very lightweight (<50MB) and even runs well on CPU.
I'm taking this to Docker and from there, setting up the serverless environment in RunPod. What tips can you share to implement this model effectively?
The model: https://github.com/Picsart-AI-Research/MI-GAN
Thanks!
There are 2 areas where I need advice:
Downloading the model
Invoking the model from Python to expose it in the RunPod wrapper.
I already have an implementation, but it is very bad and slow, when it should be very fast, as the model is very lightweight (<50MB) and even runs well on CPU.
I'm taking this to Docker and from there, setting up the serverless environment in RunPod. What tips can you share to implement this model effectively?
The model: https://github.com/Picsart-AI-Research/MI-GAN
Thanks!
GitHub![GitHub - Picsart-AI-Research/MI-GAN: [ICCV 2023] MI-GAN: A Simple B...](https://images-ext-1.discordapp.net/external/fpI5Sv9p6zAlfXBuhgH8KgBTFVQqTw_MSgGxXLfPCVE/https/opengraph.githubassets.com/1c62cd865f0448f53d5570a05653d15e21810e2cb7d9bc7e2a150e698d02f241/Picsart-AI-Research/MI-GAN)
[ICCV 2023] MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices - Picsart-AI-Research/MI-GAN
