Skip to page content
SAVRN
Search Plan a project

Dataset · Image to image

manga-colorization-painted

by Yama Warrior Yama2077/manga-colorization-painted

Each row is one manga panel: the original black-and-white panel (bw) and one painted full-color version (colored), generated by Qwen-Image 2.1 Turbo with one fixed prompt (no tags, no variants).

Rows—
Configurations—
Size10.1 GB
Licenseother
AccessAccess requested at publisher
Monthly Downloads—

Dataset Card

Each row is one manga panel: the original black-and-white panel (bw) and one painted full-color version (colored), generated by Qwen-Image 2.1 Turbo with one fixed prompt (no tags, no variants). The paint covers the ink, with strong lighting and shading, while characters and scene stay as drawn. Columns: bw, colored (images), panel (path in the source), source (A = file repo, B = parquet repo), series, chapter, and four quality numbers: grayssim (line art survived), meanchroma (colorfulness), blacklit (solid black that came out bright), whitedark (empty paper that came out dark). No quality filtering has been applied. Copyright and content: the source panels belong to their respective…

Excerpt from the card by Yama Warrior, licensed other.

Details

Repository
Yama2077/manga-colorization-painted
Publisher
Yama Warrior
Task category
Image to image
Tags
manga, colorization
Size category
Not stated by the source
Languages
Not stated by the source
Revision
d33b86b181c02eae7b97ae19a1a8f79d079f1a16
Last updated
2026-10-17

Files

168 files, 10.1 GB in total.

Data166 files · 10.1 GB
Documentation1 file · 2.4 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
data/train-00000.parquetData110.5 MB—
data/train-00001.parquetData126.1 MB—
data/train-00002.parquetData89.1 MB—
data/train-00003.parquetData126.7 MB—
data/train-00004.parquetData91.8 MB—
data/train-00005.parquetData127.9 MB—
data/train-00006.parquetData127.1 MB—
data/train-00007.parquetData125.1 MB—
data/train-00008.parquetData138.5 MB—
data/train-00009.parquetData129.6 MB—
data/train-00010.parquetData103.7 MB—
data/train-00011.parquetData117.4 MB—
data/train-00012.parquetData107.8 MB—
data/train-00013.parquetData98.6 MB—
data/train-00014.parquetData110.1 MB—
data/train-00015.parquetData98.5 MB—
data/train-00016.parquetData95.8 MB—
data/train-00017.parquetData109.1 MB—
data/train-00018.parquetData102.8 MB—
data/train-00019.parquetData104.8 MB—
data/train-00020.parquetData103.2 MB—
data/train-00021.parquetData106.3 MB—
data/train-00022.parquetData114.8 MB—
data/train-00023.parquetData105.9 MB—
data/train-00024.parquetData105.6 MB—
data/train-00025.parquetData132.0 MB—
data/train-00026.parquetData112.7 MB—
data/train-00027.parquetData206.2 MB—
data/train-00028.parquetData99.2 MB—
data/train-00029.parquetData199.6 MB—
data/train-00030.parquetData100.2 MB—
data/train-00031.parquetData203.5 MB—
data/train-00032.parquetData119.3 MB—
data/train-00033.parquetData131.6 MB—
data/train-00034.parquetData115.8 MB—
data/train-00035.parquetData138.1 MB—
data/train-00036.parquetData95.1 MB—
data/train-00037.parquetData147.5 MB—
data/train-00038.parquetData109.0 MB—
data/train-00039.parquetData159.4 MB—
data/train-00040.parquetData117.3 MB—
data/train-00041.parquetData299.9 MB—
data/train-00042.parquetData116.9 MB—
data/train-00043.parquetData421.6 MB—
data/train-00044.parquetData114.9 MB—
data/train-00045.parquetData161.0 MB—
data/train-00046.parquetData105.0 MB—
data/train-00047.parquetData176.4 MB—
data/train-00048.parquetData106.9 MB—
data/train-00049.parquetData157.5 MB—
data/train-00050.parquetData97.6 MB—
data/train-00051.parquetData162.1 MB—
data/train-00052.parquetData129.9 MB—
data/train-00053.parquetData139.8 MB—
data/train-00054.parquetData108.5 MB—
data/train-00055.parquetData110.2 MB—
data/train-00056.parquetData114.5 MB—
data/train-00057.parquetData97.7 MB—
data/train-00058.parquetData112.7 MB—
data/train-00059.parquetData110.3 MB—
data/train-00060.parquetData99.3 MB—
data/train-00061.parquetData103.0 MB—
data/train-00062.parquetData112.9 MB—
data/train-00063.parquetData108.7 MB—
data/train-00064.parquetData104.4 MB—
data/train-00065.parquetData99.8 MB—
data/train-00066.parquetData113.9 MB—
data/train-00067.parquetData77.6 MB—
data/train-00068.parquetData119.4 MB—
data/train-00069.parquetData77.0 MB—
data/train-00070.parquetData109.2 MB—
data/train-00071.parquetData79.0 MB—
data/train-00072.parquetData105.8 MB—
data/train-00073.parquetData81.8 MB—
data/train-00074.parquetData100.5 MB—
data/train-00075.parquetData75.4 MB—
data/train-00076.parquetData119.2 MB—
data/train-00077.parquetData75.5 MB—
data/train-00078.parquetData118.6 MB—
data/train-00079.parquetData76.4 MB—
data/train-00080.parquetData109.1 MB—
data/train-00081.parquetData78.8 MB—
data/train-00082.parquetData97.2 MB—
meta/train-00000.jsonData8.2 KB—
meta/train-00001.jsonData12.0 KB—
meta/train-00002.jsonData8.0 KB—
meta/train-00003.jsonData12.2 KB—
meta/train-00004.jsonData8.0 KB—
meta/train-00005.jsonData12.5 KB—
meta/train-00006.jsonData8.7 KB—
meta/train-00007.jsonData12.3 KB—
meta/train-00008.jsonData7.7 KB—
meta/train-00009.jsonData12.6 KB—
meta/train-00010.jsonData8.2 KB—
meta/train-00011.jsonData13.7 KB—
meta/train-00012.jsonData8.3 KB—
meta/train-00013.jsonData15.8 KB—
meta/train-00014.jsonData7.8 KB—
meta/train-00015.jsonData15.7 KB—
meta/train-00016.jsonData7.6 KB—
meta/train-00017.jsonData15.2 KB—
meta/train-00018.jsonData8.0 KB—
meta/train-00019.jsonData16.0 KB—
meta/train-00020.jsonData8.8 KB—
meta/train-00021.jsonData16.0 KB—
meta/train-00022.jsonData8.3 KB—
meta/train-00023.jsonData15.7 KB—
meta/train-00024.jsonData8.2 KB—
meta/train-00025.jsonData15.1 KB—
meta/train-00026.jsonData8.8 KB—
meta/train-00027.jsonData12.5 KB—
meta/train-00028.jsonData8.5 KB—
meta/train-00029.jsonData12.9 KB—
meta/train-00030.jsonData8.0 KB—
meta/train-00031.jsonData13.5 KB—
meta/train-00032.jsonData8.5 KB—
meta/train-00033.jsonData15.1 KB—
meta/train-00034.jsonData7.9 KB—
meta/train-00035.jsonData14.0 KB—
meta/train-00036.jsonData7.5 KB—
meta/train-00037.jsonData15.3 KB—
meta/train-00038.jsonData7.1 KB—
meta/train-00039.jsonData14.2 KB—
meta/train-00040.jsonData8.8 KB—
meta/train-00041.jsonData22.4 KB—
meta/train-00042.jsonData8.9 KB—
meta/train-00043.jsonData26.4 KB—
meta/train-00044.jsonData8.6 KB—
meta/train-00045.jsonData29.9 KB—
meta/train-00046.jsonData8.7 KB—
meta/train-00047.jsonData29.8 KB—
meta/train-00048.jsonData8.3 KB—
meta/train-00049.jsonData28.7 KB—
meta/train-00050.jsonData9.1 KB—
meta/train-00051.jsonData29.8 KB—
meta/train-00052.jsonData7.9 KB—
meta/train-00053.jsonData22.6 KB—
meta/train-00054.jsonData8.3 KB—
meta/train-00055.jsonData22.1 KB—
meta/train-00056.jsonData8.2 KB—
meta/train-00057.jsonData22.5 KB—
meta/train-00058.jsonData8.5 KB—
meta/train-00059.jsonData21.8 KB—
meta/train-00060.jsonData7.2 KB—
meta/train-00061.jsonData20.7 KB—
meta/train-00062.jsonData8.7 KB—
meta/train-00063.jsonData21.9 KB—
meta/train-00064.jsonData7.8 KB—
meta/train-00065.jsonData17.2 KB—
meta/train-00066.jsonData8.3 KB—
meta/train-00067.jsonData10.5 KB—
meta/train-00068.jsonData7.9 KB—
meta/train-00069.jsonData10.1 KB—
meta/train-00070.jsonData8.6 KB—
meta/train-00071.jsonData10.0 KB—
meta/train-00072.jsonData9.2 KB—
meta/train-00073.jsonData9.8 KB—
meta/train-00074.jsonData7.6 KB—
meta/train-00075.jsonData9.9 KB—
meta/train-00076.jsonData8.7 KB—
meta/train-00077.jsonData10.3 KB—
meta/train-00078.jsonData8.0 KB—
meta/train-00079.jsonData10.4 KB—
meta/train-00080.jsonData8.1 KB—
meta/train-00081.jsonData9.8 KB—
meta/train-00082.jsonData7.5 KB—
README.mdDocumentation2.4 KB—
.gitattributesRepository2.5 KB—

License and Download

License
other
Access
Access requested at publisher
Request access from Yama Warrior

Yama Warrior grants access through its official repository on Hugging Face.