2xHFA2kCompact
Name: 2xHFA2kCompact Author: Philip Hofmann Release Date: 18.04.2023 License: CC BY 4.0 Network: SRVGGNetCompact, with parameters: 600,652 Scale: 2 Purpose: A compact anime 2x upscaling model based on musl's HFA2k...
Model source
- Kind
- Other
- File size
- 1.15 MB
- Version
- v2x HFA2k Compact
- Updated
- Oct 26, 2026
- Source
- Hugging Face
Source description
2xHFA2kCompact
Name: 2xHFA2kCompact
Author: Philip Hofmann
Release Date: 18.04.2023
License: CC BY 4.0
Network: SRVGGNetCompact, with parameters: 600,652
Scale: 2
Purpose: A compact anime 2x upscaling model based on musl's HFA2k dataset
Iterations: 93,000
batch_size: 12
HR_size: 384
Epoch: 207 (require iter number per epoch: 214)
Dataset: HFA2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: 4x_Compact_Pretrain
Training time: 24h+
Description: Compact 2x anime upscaler with otf compression and blur. The '2xHFA2kCompact.pth' (4.6 MB) is the original trained model file, the other model files are conversions using chaiNNer. Trained on musl's latest dataset release for Anime SISR, which has been extracted from modern anime films, where the selection criteria was high SNR, no DOF and high frequency information.
Examples: https://imgsli.com/MTcxNjA4
Example1 Example2 Example3 Example4 Example5 Example6 Example7 Example8 Example9 Example10 Example11 Example12 Example13 Example14 Example15 Example16 Example17 Example18 Example19 Example20 Example21 Example22 Example23 Example24 Example25
Sources
1 source
Sources
1 sourceVerified Oct 26
Model artifacts
1 artifact
Model artifacts
1 artifact2xHFA2kCompact.safetensors
safetensors · 1.15 MB · SHA-256 c20226f86e4f…33ff · Hugging Face
Download fileSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xHFA2kCompact) # 2xHFA2kCompact Name: 2xHFA2kCompact Author: Philip Hofmann Release Date: 18.04.2023 License: CC BY 4.0 Network: SRVGGNetCompact, with parameters: 600,652 Scale: 2 Purpose: A compact anime 2x upscaling model based on musl's HFA2k dataset Iterations: 93,000 batch_size: 12 HR_size: 384 Epoch: 207 (require iter number per epoch: 214) Dataset: HFA2k Number of train images: 2568 OTF Training: Yes Pretrained_Model_G: 4x_Compact_Pretrain Training time: 24h+ Description: Compact 2x anime upscaler with otf compression and blur. The '2xHFA2kCompact.pth' (4.6 MB) is the original trained model file, the other model files are conversions using chaiNNer. Trained on musl's latest dataset release for Anime SISR, which has been extracted from modern anime films, where the selection criteria was high SNR, no DOF and high frequency information. Examples: https://imgsli.com/MTcxNjA4              