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4xLSDIRCompact2

Name: 4xLSDIRCompact2 Author: Philip Hofmann Release Date: 25.03.2023 License: CC BY 4.0 Model Architecture: SRVGGNetCompact Scale: 4 Purpose: 4x fast photo upscaler

Sourcehuggingface.co/Phips/4xLSDIRCompact2/tree/028c189ebeca2d4085755560da7f026dfbbb4ec4
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1.19 MB
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vRevision 028c189
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Oct 26, 2026
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Hugging Face

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4xLSDIRCompact2

Name: 4xLSDIRCompact2
Author: Philip Hofmann
Release Date: 25.03.2023
License: CC BY 4.0
Model Architecture: SRVGGNetCompact
Scale: 4
Purpose: 4x fast photo upscaler

Iterations: CompactC 205’000 & CompactR 150’000
batch_size: Variable(1-10)
HR_size: 256
Dataset: LSDIR
Dataset_size: 84991
OTF Training No
Pretrained_Model_G: 4x_Compact_Pretrain.pth

Description: 4xLSDIRCompactv2 supersedes the previously released models, it combines all my progress on my compact model. Both CompactC and CompactR had received around 8 hours more training since release with batch size 10 (CompactR had only been up to 5 on release), and these two were then interpolated together. This allows v2 to handle some degradations, while preserving the details of the CompactC model. Examples: https://imgsli.com/MTY0Njgz/0/2

Example1

Sources

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Hugging FacePrimaryVersion 028c189ebeca2d4085755560da7f026dfbbb4ec4
huggingface.co/Phips/4xLSDIRCompact2/tree/028c189ebeca2d4085755560da7f026dfbbb4ec4

Verified Oct 26

Model artifacts

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4xLSDIRCompact2.safetensors

safetensors · 1.19 MB · SHA-256 04cf04f12f7c…1de8 · Hugging Face

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ReadmeAug 8huggingface.co/Phips/4xLSDIRCompact2

--- 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/4xLSDIRCompact2) # 4xLSDIRCompact2 Name: 4xLSDIRCompact2 Author: Philip Hofmann Release Date: 25.03.2023 License: CC BY 4.0 Model Architecture: SRVGGNetCompact Scale: 4 Purpose: 4x fast photo upscaler Iterations: CompactC 205’000 & CompactR 150’000 batch_size: Variable(1-10) HR_size: 256 Dataset: LSDIR Dataset_size: 84991 OTF Training No Pretrained_Model_G: 4x_Compact_Pretrain.pth Description: 4xLSDIRCompactv2 supersedes the previously released models, it combines all my progress on my compact model. Both CompactC and CompactR had received around 8 hours more training since release with batch size 10 (CompactR had only been up to 5 on release), and these two were then interpolated together. This allows v2 to handle some degradations, while preserving the details of the CompactC model. Examples: https://imgsli.com/MTY0Njgz/0/2 ![Example1](https://github.com/Phhofm/models/assets/14755670/52b1a610-fdbd-4e0b-b4ce-0063242ed73b)

NoteAug 8huggingface.co/Phips/4xLSDIRCompact2

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xLSDIRCompact2