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4xHFA2k

Name: 4xHFA2k Author: Philip Hofmann Release Date: 07.05.2023 License: CC BY 4.0 Network: ESRGAN (RRDBNet) Scale: 4 Purpose: An anime images 4x upscaling model based on musl's HFA2k dataset Iterations: 91,000...

Sourcehuggingface.co/Phips/4xHFA2k/tree/f512dc90376b146bc6fae0254d777f6938aa2799
KindOtherVersion4x HFA2kCgrade

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Other
File size
31.9 MB
Version
v4x HFA2k
Updated
Oct 27, 2026
Source
Hugging Face

Source description

Link to Github Release

4xHFA2k

Name: 4xHFA2k
Author: Philip Hofmann
Release Date: 07.05.2023
License: CC BY 4.0
Network: ESRGAN (RRDBNet)
Scale: 4
Purpose: An anime images 4x upscaling model based on musl's HFA2k dataset
Iterations: 91,000
batch_size: 9
HR_size: 256
Epoch: 318 (require iter number per epoch: 286)
Dataset: HFA2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: RealESRGAN_x4plus.pth
Training time: 36h on a P100 GPU

Description: 4x anime image upscaler with a bit of otf jpg compression and blur. Trained on musl's hfa2k 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/MTc2NDgx

Example1 Example2 Example3 Example4 Example5

Sources

1 source
Hugging FacePrimaryVersion f512dc90376b146bc6fae0254d777f6938aa2799
huggingface.co/Phips/4xHFA2k/tree/f512dc90376b146bc6fae0254d777f6938aa2799

Verified Oct 27

Model artifacts

1 artifact

4xHFA2k.safetensors

safetensors · 31.9 MB · SHA-256 7e4cd08638a0…cc28 · Hugging Face

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Source excerpts

2 excerpts
ReadmeAug 8huggingface.co/Phips/4xHFA2k

--- 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/4xHFA2k) # 4xHFA2k Name: 4xHFA2k Author: Philip Hofmann Release Date: 07.05.2023 License: CC BY 4.0 Network: ESRGAN (RRDBNet) Scale: 4 Purpose: An anime images 4x upscaling model based on musl's HFA2k dataset Iterations: 91,000 batch_size: 9 HR_size: 256 Epoch: 318 (require iter number per epoch: 286) Dataset: HFA2k Number of train images: 2568 OTF Training: Yes Pretrained_Model_G: RealESRGAN_x4plus.pth Training time: 36h on a P100 GPU Description: 4x anime image upscaler with a bit of otf jpg compression and blur. Trained on musl's hfa2k 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/MTc2NDgx ![Example1](https://github.com/Phhofm/models/assets/14755670/7a65af06-510f-4fe7-bdd6-cd208c09947c) ![Example2](https://github.com/Phhofm/models/assets/14755670/2b671488-55f1-440b-a00d-b49753e5b05e) ![Example3](https://github.com/Phhofm/models/assets/14755670/2d21b941-0ea4-46d4-a618-66b15b05eb47) ![Example4](https://github.com/Phhofm/models/assets/14755670/7f50a8c1-57de-43b6-8fae-8e350368e5f8) ![Example5](https://github.com/Phhofm/models/assets/14755670/a76bfb26-1b95-4492-92ec-e7feda98a70a)

NoteAug 8huggingface.co/Phips/4xHFA2k

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xHFA2k