Model Release 20211203

Initial ONNX Model Release

Waifu2x

Waifu2x is a well-known image super-resolution for anime-style arts.

Link: https://github.com/AmusementClub/vs-mlrt/releases/download/model-20211203/waifu2x_v2.7z
Docs: https://github.com/AmusementClub/vs-mlrt/wiki/waifu2x

Includes all known publicly available waifu2x models:

• anime_style_art: noise1 noise2 noise3 scale2.0x
• anime_style_art_rgb: noise0 noise1 noise2 noise3 scale2.0x
• upconv_7_anime_style_art_rgb: scale2.0x noise3_scale2.0x noise2_scale2.0x noise1_scale2.0x noise0_scale2.0x
• photo: noise0 noise1 noise2 noise3 scale2.0x
• ukbench: scale2.0x
• upconv_7_photo: scale2.0x noise0_scale2.0x noise1_scale2.0x noise2_scale2.0x noise3_scale2.0x
• cunet: noise0 noise1 noise2 noise3 scale2.0x noise0_scale2.0x noise1_scale2.0x noise2_scale2.0x noise3_scale2.0x
• upresnet10: scale2.0x noise0_scale2.0x noise1_scale2.0x noise2_scale2.0x noise3_scale2.0x

DPIR

DPIR, or Plug-and-Play Image Restoration with Deep Denoiser Prior, is a denoise and deblocking neural network. See also https://github.com/HolyWu/vs-dpir.

DPIR requires a strength parameter, you need to pass it in the form of a GRAYS clip.

Link: https://github.com/AmusementClub/vs-mlrt/releases/download/model-20211203/dpir_v2.7z
Docs: https://github.com/AmusementClub/vs-mlrt/wiki/DPIR

Includes these models:

• drunet_gray: GRAY denoise
• drunet_deblocking_grayscale: GRAY deblocking
• drunet_color: RGB denoise
• drunet_deblocking_color.onnx: RGB deblocking