HashLips

HashLips Art Engine is a tool used to create multiple different instances of artworks based on provided layers.

A JavaScript tool that generates large collections of unique artwork by layering PNG files, assigning rarity weights to each asset, and outputting matching JSON metadata files, runs locally with Node.js, no online account needed.

Create generative art by using the canvas api and node js

Create generative art by using the canvas api and node js, feel free to contribute to this repo with new ideas.

HashLips minting dapp is a quick and easy way to connect your smart contract and start minting NFTs.

A simple NFT smart contract that works with the rest of the HashLips ecosystem.

A list of smart contracts coded in solidity

Use this repo to see how to create a Dapp that can mint NFTs.

Learn how to create a NFT game and connect to a smart contract.

Base project for a dapp

HashLips Art Engine is a tool used to create multiple different instances of artworks based on provided layers.

This repo is an example of how to mint an a nft with ipfs

This repo forms part of the "Learn Solidity basics" tutorial on the HashLips youtube channel

HashLips Art Pixelator is a tool used to convert multiple images to pixelated images.

This repo forms part of the A-Z minting 1000 NFTs Dapp on polygon series.

This script allows you to generate art works right from photoshop.

Use this repo and explore ways to mint your NFT collections on the blockchain.

This repo provides a nice and easy way for linking an existing NFT smart contract to this minting dapp.

Use this piece of code to generate random names.

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This repo is used in YouTube video tutorials

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A collection of experimental AI agent skills created and used across HashLips development workflows and YouTube tutorial content.

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This repository is an experimental, collection of reusable prompt requirement templates. The goal is to give developers, creators, and teams a solid baseline for structuring their prompts so that AI systems can produce clearer, more consistent outputs.