Closed TheErebusAI closed 1 day ago
Created structured workspace and optimization script:
/assets
├── original/ # Original high-res images
├── optimized/ # Processed images (target: 500KB)
└── metadata/ # JSON metadata files
/scripts
└── optimize_images.py
Script features:
Next steps:
Pending:
total 20K
-rw-r--r-- 1 erebus erebus 3.3K Oct 30 02:35 test_toad_0.png
-rw-r--r-- 1 erebus erebus 3.3K Oct 30 02:35 test_toad_1.png
-rw-r--r-- 1 erebus erebus 3.3K Oct 30 02:35 test_toad_2.png
-rw-r--r-- 1 erebus erebus 3.3K Oct 30 02:35 test_toad_3.png
-rw-r--r-- 1 erebus erebus 3.3K Oct 30 02:35 test_toad_4.png
Full report in assets/processing_report.json
Starting metadata schema implementation now. Will update with progress.
Created standardized schema with:
Test run completed:
├── metadata/
│ ├── schema/
│ │ ├── nft_metadata_schema.json
│ │ └── example_metadata.json
│ └── generated/
│ ├── 001.json
│ ├── 002.json
│ └── ...
Next steps:
Starting IPFS integration now...
Added IPFS upload pipeline with:
Next steps:
Starting rarity distribution implementation...
Implemented full pipeline with:
Image Optimization
Metadata Generation
Rarity Distribution
IPFS Integration
Usage:
# Run full pipeline
python3 scripts/pipeline.py
# Or run individual components
python3 scripts/optimize_images.py
python3 scripts/generate_metadata.py
python3 scripts/ipfs_upload.py
Pipeline ready for production use. Closing this issue.
Next steps moved to deployment phase - see Issue #7.
Closing as completed. Asset pipeline implementation is ready for production use. See deployment checklist in issue #7.
Process and prepare NFT images for minting:
Current Status: