Emanata models
Model files for the Emanata comic reader, which downloads them on demand by pinned URL and SHA-256.
Each folder holds one item: its files under their original names, its license text(s), and SOURCE.md (upstream, pinned source, SHA-256 and bytes per file, license, changes). Each folder carries its own license, which applies to its files (listed in LICENSE.md); there is no repository-wide license and no added terms. No endorsement by any upstream author is implied.
SHA256SUMS lists the SHA-256 of every model, upstream source and script file; license texts, NOTICE and SOURCE.md files are not listed.
| Folder | Role | License | Source |
|---|---|---|---|
| opencomic-ai-artifact-removal-compact-v2 | OpenComic AI Artifact Removal Fast v2: JPEG artifact removal, 1x, ncnn | CC-BY-4.0 | OpenComic AI (Oleguer Llopart Mora) |
| opencomic-ai-descreen-hard-compact-v2 | OpenComic AI Descreen Hard Fast v2: descreen, 1x, ncnn | CC-BY-4.0 | OpenComic AI (Oleguer Llopart Mora) |
| opencomic-ai-descreen-hard-fast-v3-256 | OpenComic AI Descreen Hard Fast v3: descreen, 1x, ncnn | CC-BY-4.0 | OpenComic AI (Oleguer Llopart Mora) |
| opencomic-ai-upscale-2x-compact-v2 | OpenComic AI Upscale Fast v2: 2x upscaler, ncnn | CC-BY-4.0 | OpenComic AI (Oleguer Llopart Mora) |
| opencomic-ai-upscale-3x-compact-v2 | OpenComic AI Upscale Fast v2: 3x upscaler, ncnn | CC-BY-4.0 | OpenComic AI (Oleguer Llopart Mora) |
| opencomic-ai-upscale-4x-compact-v2 | OpenComic AI Upscale Fast v2: 4x upscaler, ncnn | CC-BY-4.0 | OpenComic AI (Oleguer Llopart Mora) |
| waifu2x-upconv7-2x | waifu2x UpConv7 2x upscaler (anime_style_art_rgb), no denoise, ncnn | MIT | waifu2x (nagadomi), ncnn by nihui |
| waifu2x-upconv7-2x-denoise0 | waifu2x UpConv7 2x upscaler (anime_style_art_rgb), denoise level 0, ncnn | MIT | waifu2x (nagadomi), ncnn by nihui |
| waifu2x-upconv7-2x-denoise1 | waifu2x UpConv7 2x upscaler (anime_style_art_rgb), denoise level 1, ncnn | MIT | waifu2x (nagadomi), ncnn by nihui |
| waifu2x-upconv7-2x-denoise2 | waifu2x UpConv7 2x upscaler (anime_style_art_rgb), denoise level 2, ncnn | MIT | waifu2x (nagadomi), ncnn by nihui |
| waifu2x-upconv7-2x-denoise3 | waifu2x UpConv7 2x upscaler (anime_style_art_rgb), denoise level 3, ncnn | MIT | waifu2x (nagadomi), ncnn by nihui |
| realesr-animevideov3-x2 | Real-ESRGAN AnimeVideo v3 (realesr-animevideov3) 2x upscaler, ncnn | BSD-3-Clause | Real-ESRGAN (Xintao Wang) |
| realesr-animevideov3-x3 | Real-ESRGAN AnimeVideo v3 (realesr-animevideov3) 3x upscaler, ncnn | BSD-3-Clause | Real-ESRGAN (Xintao Wang) |
| realesr-animevideov3-x4 | Real-ESRGAN AnimeVideo v3 (realesr-animevideov3) 4x upscaler, ncnn | BSD-3-Clause | Real-ESRGAN (Xintao Wang) |
| 4x-lsdir-compact-c3 | 4xLSDIRCompactC3: 4x upscaler for JPEG-compressed photos (SRVGG compact), ncnn fp16 | CC-BY-4.0 | Philip Hofmann (Helaman) |
| ppocrv5-mobile-det | PP-OCRv5_mobile_det text detector as ncnn (fp16 weights), with the converter that made it | Apache-2.0 | PaddlePaddle (official), converted |
| ppocrv5-mobile-det-official | PP-OCRv5_mobile_det text detector, the official PaddlePaddle inference files | Apache-2.0 | PaddlePaddle (official) |
| cunny-8x32-ds-rp | CuNNy-8x32-DS 2x upscaler as ncnn: RGB in and out, per-layer edge replication as in the shader | LGPL-3.0-or-later | CuNNy (funnyplanter), converted |
| cunny-8x32-ds-variants | Other CuNNy-8x32-DS forms (zero-padded RGB, -rp-gray, -luma, -luma-rp) for checks and timing | LGPL-3.0-or-later | CuNNy (funnyplanter), converted |
| artcnn-c4f32-ds | ArtCNN C4F32 DS 2x upscaler as ncnn: RGB in and out, zero padding as in the ONNX | MIT | ArtCNN (Jo茫o Chris贸stomo), converted |
| artcnn-c4f32-ds-variants | Other ArtCNN C4F32 DS forms (-luma, -gray) for checks and timing | MIT | ArtCNN (Jo茫o Chris贸stomo), converted |
| cunny-8x32-ds-shader | Upstream CuNNy-8x32-DS mpv shader, unmodified (Corresponding Source of cunny-8x32-ds-rp and cunny-8x32-ds-variants) | LGPL-3.0-or-later | CuNNy (funnyplanter) |
| artcnn-c4f32-ds-upstream | Upstream ArtCNN C4F32 DS ONNX and GLSL, unmodified | MIT | ArtCNN (Jo茫o Chris贸stomo) |
| cn-conversion-script | Conversion scripts for the CuNNy and ArtCNN ncnn files, with expected output SHA-256 | Apache-2.0 | Original work |