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AI Art NFT Fully Automated Minting and Listing Revenue-Sharing System on Base Chain (Monthly Income Yet to Be Verified)

Workflow: Run Stable Diffusion daily to batch-generate single-frame art images matching specified style prompts. Automatically cal

AGENT

Key Fields

FIELD STAMPS

IndustryE-commerce / Retail

RegionGlobal

ScaleSME

ChannelOnline

🔧 Workflow

Run Stable Diffusion daily to batch-generate single-frame art images matching specified style prompts. Automatically call Base chain RPC interfaces via CocoLoop nft-skill to complete NFT minting, simultaneously listing them on OpenSea and setting a 10%-20% royalty share. Inputs include style prompts, series issuance volume, and royalty percentage; outputs are fully minted and listed NFT series ready for sale. Each transaction automatically triggers royalty settlement, with no manual intervention required for subsequent processes.

🛠 Setup Requirements

Requires a computer with 8GB+ VRAM for local deployment of Stable Diffusion, or a subscription to the official Stability AI API; basic understanding of Python syntax and MetaMask wallet operations. Clone the AiToEarn open-source project from GitHub to obtain automation scripts, pair it with CocoLoop nft-skill to configure minting logic. The overall setup period is 5-7 days, with no complex blockchain development experience required.

🧰 Toolchain

🔧 nft-skill (CocoLoop)
🔧 AiToEarn Open-Source Automation Project (GitHub)
🔧 Stable Diffusion Local Deployment
🔧 Stability AI Official API
🔧 MetaMask Crypto Wallet
🔧 OpenSea NFT Marketplace

💰 Revenue

① Secondary market royalty sharing (main revenue): Collectors/buyers pay based on transaction prices on platforms like OpenSea, and creators take a 10%-20% royalty cut. Monthly sales of 30-50 pieces × unit price of 0.005-0.02 ETH (Base chain) = net monthly income of $2,500-$6,000. Its share of total income is not publicly disclosed (self-reported by the case study, unverified by third parties as of 2026); ② Primary market initial sales: Sold directly at marked prices after minting, priced at 0.005-0.02 ETH per piece. Statistics on the number of pieces sold and their overall share are not provided; ③ Commercial licensing: Authorizing brands to use AI art images. Licensing quotes and transaction counts are not publicly available, and the proportion of this revenue is unclear; ④ Opportunity item - Series commissioned customization: Charging project service fees per series. Pricing per order and its weight in total revenue are also left blank.

💸 Cost

Single NFT minting gas fee on the Base chain is about $0.01-$0.05, calling the Stability AI API to generate a single art image costs about $0.002, OpenSea only charges a 1.5% service fee on transaction volume with no listing fees. Initial fixed monthly costs are below $10, and variable costs increase slightly with the issuance volume.

⏱ Time Investment

Dedicate 2-3 hours per day during the setup phase. Once the automated workflow is running, it only takes 30 minutes per week to check sales data and adjust generation prompts, with no additional daily monitoring required.

🚀 Getting Started

Step 1 for beginners is to visit GitHub to clone the AiToEarn open-source project and read the README to understand the basic logic of AI NFT monetization. Step 2 is to download nft-skill in the CocoLoop store and complete fewer than 10 minting tests on the Base testnet to familiarize with on-chain interactions and MetaMask wallet operations. Step 3 is to create a personal store on OpenSea, upload test NFTs to test the waters, and scale up series issuance after successfully running the first transaction.

🔑 Keys to Success

✅ Base chain low gas fees lower the issuance threshold
✅ AI generation ensures uniform series style and high recognition
✅ Fully automated royalty sharing achieves passive income
✅ Continuously launching new series maintains market interest

⚠️ 风险

⚠️ High volatility in the NFT secondary market creates risks of unsold works and price drops
⚠️ If AI-generated art is highly similar to existing copyrighted works, it may trigger platform copyright takedowns
⚠️ Policy adjustments in the Base chain ecosystem may affect NFT trading and royalty settlement rules

📌 Real Cases

📌 Overseas independent digital artist @CryptoArtDaily used a similar automated system to issue an abstract geometric NFT series on the Base chain, achieving 42 transactions in a single month with a net income of about $3,200
📌 Domestic AI creator @DigitalArtistXiaolin issued a Chinese-style landscape NFT series through an automated minting system, achieving an average monthly trading volume of about $2,500 in the OpenSea Base chain section
📌 User cases of nft-skill published by CocoLoop officials show that individual creators using the tool to batch-issue generative NFTs achieved a maximum single-month royalty sharing income of $5,800

Sources