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--- |
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license: cc-by-nc-sa-4.0 |
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pipeline_tag: image-to-image |
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tags: |
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- pytorch |
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- super-resolution |
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--- |
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## 2x-AnimeSharpV2 Set |
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**Scale:** 2 |
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**Architecture:** RealPLKSR, MoSR GPS, ESRGAN |
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**Author:** Kim2091 |
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**License:** CC BY-NC-SA 4.0 |
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**Purpose:** Anime |
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**Subject:** |
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**Input Type:** Images |
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**Date:** 10-3-24 |
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**Size:** |
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**I/O Channels:** 3(RGB)->3(RGB) |
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**Dataset:** HFA2k modified |
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**Dataset Size:** 2-3k |
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**OTF (on the fly augmentations):** No |
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**Pretrained Model:** 4x_realplksr_mssim_pretrain & 4x-MoSR_GPS_Pretrain |
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**Iterations:** 100k & 75k |
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**Batch Size:** 6-10 |
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**GT Size:** 64-256 |
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**Description:** This is my first anime model in years. Hopefully you guys can find a good use-case for it. Included are 5 models: |
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1. ESRGAN (Highest Quality, slowest) |
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2. RealPLKSR (Higher quality, slower) |
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3. MoSR (Lower quality, faster) |
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There are Sharp and Soft versions RPLSKR and MoSR, but only Soft for ESRGAN |
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When to use each: |
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- __Sharp:__ For heavily degraded sources. Sharp models have issues depth of field but are best at removing artifacts |
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- __Soft:__ For cleaner sources. Soft models preserve depth of field but may not remove other artifacts as well |
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__Notes:__ |
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- MoSR doesn't work in chaiNNer currently |
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- To use MoSR: |
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1. Use the ONNX version in tools like [VideoJaNai](<https://github.com/the-database/VideoJaNai>) |
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2. Update spandrel in the latest version of ComfyUI |
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The ONNX version may produce slightly different results than the .pth version. If you have issues, try the .pth model. |
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__Comparisons:__ https://slow.pics/c/4UI20Qlu |
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https://github.com/user-attachments/assets/001c0eb2-7558-4294-b722-a7371f87a912 |
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