SDXL Turbo Pipeline: A Lightweight Module for Lilypad

This README provides instructions for running the SDXL Turbo Pipeline module on the Lilypad network via the Lilypad CLI. Learn about installing the CLI here: https://docs.lilypad.tech/lilypad/lilypad-testnet/install-run-requirements

Prerequisites

• Lilypad CLI installed (for Lilypad network runs)

If you would like to run this Lilypad module locally using the Lilypad localnet

• Docker installed on your system
• GPU

Running on Lilypad Network

Using Lilypad LocalNet

To run on the local development network:

go run . run --network dev github.com/Lilypad-Tech/module-sdxl:d6a89ed92f4e798459b2990340669da00c56c80c--web3-private-key <admin_key> -i prompt="your prompt here"

Replace <admin_key> with the admin key found in hardhat/utils/accounts.ts.

Example:

go run . run --network dev github.com/Lilypad-Tech/module-sdxl:d6a89ed92f4e798459b2990340669da00c56c80c --web3-private-key <admin_key> -i prompt="a spaceship parked on mountain"

Using Lilypad Main Network

To run on the main Lilypad network:

lilypad run github.com/Lilypad-Tech/module-sdxl:d6a89ed92f4e798459b2990340669da00c56c80c -i prompt="your prompt here"

Example:

lilypad run github.com/Lilypad-Tech/module-sdxl:d6a89ed92f4e798459b2990340669da00c56c80c -i prompt="a spaceship parked on mountain"

Notes

• Ensure you have the necessary permissions and resources to run Docker containers with GPU support.
• The module version (ae17e969cadab1c53d7cabab1927bb403f02fd2a) may be updated. Check for the latest version before running.
• Adjust port mappings and volume mounts as needed for your specific setup.