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Archiver Medium

1xESRGANby Loganavter

A general-purpose model from the Archivist suite, providing a balanced approach to removing common film grain and dirt while preserving the original drawing texture. It is the recommended starting point for most footage.

This model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.

All Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.

Training details (6)
Date
2025-12-17
Dataset
Custom dataset (~1800 images) of classic cel animation (1940s-1980s) processed with the Project Degrader physics-based pipeline.
Dataset size
1800
Training iterations
478000
Training HR size
256
Training OTF
Yes

Model

Architecture
ESRGAN
Scale
1x
Size
48nf16nb
Color Mode

Rights

MIT
Private use
Commercial use
Distribution
Modifications
Credit required
No Liability & Warranty
Disclaimer

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