AnimeSharpV3
OTF (on the fly augmentations): No
Model source
- Kind
- Other
- File size
- 31.9–64.0 MB
- Version
- v2x Anime Sharp V3 fp16
- Updated
- Sep 14, 2026
- Source
- Hugging Face
Source excerpt
OTF (on the fly augmentations): No
Sources
1 source
Sources
1 sourceVerified Aug 8
Model artifacts
4 artifacts
Model artifacts
4 artifactsSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: cc-by-nc-sa-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution --- --- @News ## 2x-AnimeSharpV3 **Scale:** 2 **Architecture:** ESRGAN **Links:** [Github Release](<https://github.com/Kim2091/Kim2091-Models/releases/tag/2x-AnimeSharpV3>) **Author:** Kim2091 **License:** CC BY-NC-SA 4.0 **Purpose:** Anime **Subject:** **Input Type:** Images **Date:** 10-24-24 **Size:** **I/O Channels:** 3(RGB)->3(RGB) **Dataset:** ModernAnimation1080_v3 **Dataset Size:** 2-3k **OTF (on the fly augmentations):** No **Pretrained Model:** 4xESRGAN **Iterations:** 140k **Batch Size:** 8 **GT Size:** 64-128 **Description:** I gave up on having multiple architectures. This release is ESRGAN only, and provides superior quality compared to AnimeSharpV2 in nearly every scenario. It has most of the advantages of the old V2 Sharp models, while not having issues with depth of field. __Comparisons:__ <https://slow.pics/c/A2BRSa0U> 
Source context: 0 downloads · 10 likes · Pipeline image-to-image · Repo Kim2091/AnimeSharpV3
