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Kim2091/AnimeSharpV3

By Kim2091 · ↓ 0 · ♥ 9 · Updated 2024-12-08

What's in this repo

This page lists the files in Kim2091/AnimeSharpV3, including 2x-AnimeSharpV3-fp16.onnx, 2x-AnimeSharpV3-fp32.onnx.

  • 2 ONNX models (.onnx files)
  • 6 files, including 2 .onnx, 1 .pth, 1 .safetensors, 1 .md
  • Last updated 2024-12-08

ONNX files

File Size Download
2x-AnimeSharpV3-fp16.onnx — Download
2x-AnimeSharpV3-fp32.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README


@News

2x-AnimeSharpV3

Scale: 2

Architecture: ESRGAN

Links: Github Release

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:

image/png

Model info

onnx pytorch super-resolution image-to-image license:cc-by-nc-sa-4.0 region:us
↓ 0 ♥ 9

Created: 2024-10-25

Updated: 2024-12-08

View on Hugging Face

Files (6)

.gitattributes
2x-AnimeSharpV3-fp16.onnx ONNX
2x-AnimeSharpV3-fp32.onnx ONNX
2x-AnimeSharpV3.pth
2x-AnimeSharpV3.safetensors
README.md

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