https://github.com/benyaminahmed/nft-image-generator

https://github.com/benyaminahmed/nft-image-generator

Last synced: 28 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/benyaminahmed/nft-image-generator
• Owner: benyaminahmed
• License: mit
• Created: 2021-07-26T09:55:12.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-16T05:57:08.000Z (over 1 year ago)
• Last Synced: 2024-02-18T11:37:01.888Z (4 months ago)
• Language: Jupyter Notebook
• Size: 85.9 KB
• Stars: 1,624
• Watchers: 44
• Forks: 531
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome - benyaminahmed/nft-image-generator - (Jupyter Notebook)
• awesome-stars - benyaminahmed/nft-image-generator - (Jupyter Notebook)
• awesome - benyaminahmed/nft-image-generator - (Jupyter Notebook)
• awesome-solana-nfts-v2 - NFT Image generator
• awesome-solana-nfts-img - NFT Image generator
• awesome-solana-nfts - NFT Image generator
• awesome-solana-nfts - NFT Image generator

README

        


## About

Python Notebook in Jupyter that will generate a series of unique images using a collection of layers.

## Getting Started

1. Install [Python](https://www.python.org/downloads/)

2. Install PIP

Download PIP get-pip.py

```

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

python get-pip.py

```

3. Install requirements

```

pip install -r requirements.txt

```

4. Run Jupyter in your nft-image-generator folder

```

jupyter notebook

```

7. Run the commands in [generate.ipynb] to generate images.

8. First time you run notebook, it will ask you to install ipykernel, accept this.

 

9. If the program executes successfully, it will output all the generated images to the /images folder, and the metadata to the /metadata folder. The filenames will refer to tokenIds.