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Archiver Soft

1xESRGANby Loganavter

A light-touch restoration model from the Archivist suite, designed for high-quality sources. It focuses on gentle denoising while preserving the original film grain aesthetic. CAVEAT: In some scenarios, a standard DRUNet might yield subjectively better results. Always compare on your specific 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
453000
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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