id int64 4 1.28M | image_url stringlengths 73 73 | rating stringclasses 4
values | quality_meta stringclasses 60
values | seed_ratio float64 0.2 0.6 | messages listlengths 3 3 |
|---|---|---|---|---|---|
3,869 | sensitive | {"quality": "negative", "score": "q40"} | 0.339475 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,870 | questionable | {"quality": "positive", "score": "q80"} | 0.418686 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,876 | questionable | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.245841 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,877 | sensitive | {"quality": "positive", "resolution": "high", "score": "q80"} | 0.476842 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,878 | sensitive | {"quality": "negative", "score": "q20"} | 0.449011 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,880 | general | {"quality": "very_negative", "score": "q10"} | 0.470105 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,881 | questionable | {"quality": "positive", "score": "q80"} | 0.384466 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,883 | sensitive | {"quality": "neutral", "score": "q65"} | 0.395901 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,885 | questionable | {"quality": "positive", "score": "q80"} | 0.410031 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,886 | sensitive | {"quality": "negative", "score": "q35"} | 0.333249 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,891 | questionable | {"quality": "neutral", "resolution": "very_high", "score": "q75"} | 0.582166 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,892 | questionable | {"quality": "neutral", "resolution": "high", "score": "q75"} | 0.456485 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,901 | sensitive | {"quality": "neutral", "score": "q50"} | 0.462904 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,904 | questionable | {"quality": "neutral", "score": "q60"} | 0.425298 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,906 | sensitive | {"quality": "negative", "score": "q35"} | 0.369845 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,909 | sensitive | {"quality": "negative", "score": "q20"} | 0.446768 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,911 | sensitive | {"quality": "neutral", "score": "q65"} | 0.428541 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,919 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.521364 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,920 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.451417 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,921 | sensitive | {"quality": "positive", "score": "q80"} | 0.242879 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,922 | sensitive | {"quality": "negative", "score": "q30"} | 0.256655 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,924 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q65"} | 0.395099 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,925 | sensitive | {"quality": "negative", "score": "q45"} | 0.309659 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,926 | sensitive | {"quality": "negative", "score": "q45"} | 0.28265 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,927 | sensitive | {"quality": "negative", "score": "q45"} | 0.42479 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,928 | questionable | {"quality": "neutral", "resolution": "high", "score": "q65"} | 0.319663 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,929 | sensitive | {"quality": "negative", "score": "q30"} | 0.301607 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,930 | sensitive | {"quality": "negative", "resolution": "high", "score": "q30"} | 0.368273 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,931 | sensitive | {"quality": "negative", "score": "q40"} | 0.269075 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,932 | sensitive | {"quality": "negative", "score": "q30"} | 0.246959 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,933 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.256049 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,934 | questionable | {"quality": "negative", "score": "q45"} | 0.419172 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,935 | sensitive | {"quality": "neutral", "score": "q60"} | 0.349153 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,936 | sensitive | {"quality": "negative", "score": "q20"} | 0.249442 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,937 | sensitive | {"quality": "negative", "score": "q25"} | 0.357196 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,939 | general | {"quality": "negative", "score": "q35"} | 0.282059 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,942 | sensitive | {"quality": "neutral", "score": "q50"} | 0.296631 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,943 | explicit | {"quality": "negative", "score": "q25"} | 0.311322 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,944 | sensitive | {"quality": "neutral", "score": "q55"} | 0.330743 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,945 | sensitive | {"quality": "very_negative", "score": "q0"} | 0.409303 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,948 | questionable | {"quality": "neutral", "score": "q50"} | 0.508543 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,951 | general | {"quality": "very_negative", "score": "q15"} | 0.277907 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,952 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.307219 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,953 | general | {"quality": "negative", "score": "q20"} | 0.218408 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,954 | general | {"quality": "negative", "score": "q30"} | 0.340298 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,958 | sensitive | {"quality": "negative", "score": "q35"} | 0.32356 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,960 | questionable | {"quality": "negative", "score": "q40"} | 0.518457 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,961 | explicit | {"quality": "neutral", "score": "q75"} | 0.335505 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,964 | sensitive | {"quality": "negative", "score": "q20"} | 0.37337 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,965 | questionable | {"quality": "negative", "score": "q40"} | 0.206069 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,966 | questionable | {"quality": "negative", "score": "q35"} | 0.342047 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,967 | general | {"quality": "very_negative", "score": "q15"} | 0.518901 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,969 | sensitive | {"quality": "negative", "score": "q35"} | 0.592924 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,973 | general | {"quality": "neutral", "score": "q55"} | 0.445865 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,976 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.240487 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,977 | general | {"quality": "neutral", "score": "q60"} | 0.339855 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,978 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.221058 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,980 | general | {"quality": "negative", "score": "q30"} | 0.458303 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,981 | general | {"quality": "negative", "score": "q40"} | 0.456597 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,982 | sensitive | {"quality": "negative", "score": "q35"} | 0.23716 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,984 | sensitive | {"quality": "negative", "resolution": "high", "score": "q30"} | 0.24302 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,986 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q55"} | 0.32296 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,987 | sensitive | {"quality": "very_negative", "resolution": "high", "score": "q15"} | 0.37146 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,988 | sensitive | {"quality": "very_negative", "resolution": "high", "score": "q15"} | 0.39292 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,989 | general | {"quality": "negative", "score": "q20"} | 0.473097 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,990 | sensitive | {"quality": "negative", "score": "q35"} | 0.522226 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,991 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.404325 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,992 | sensitive | {"quality": "negative", "score": "q35"} | 0.323954 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,994 | general | {"quality": "negative", "score": "q25"} | 0.239607 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,995 | general | {"quality": "very_negative", "score": "q15"} | 0.484803 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,997 | sensitive | {"quality": "negative", "score": "q35"} | 0.583176 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,998 | general | {"quality": "neutral", "score": "q65"} | 0.211632 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,999 | general | {"quality": "neutral", "score": "q65"} | 0.590561 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,002 | sensitive | {"quality": "negative", "score": "q45"} | 0.578995 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,005 | general | {"quality": "neutral", "score": "q50"} | 0.404659 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,006 | general | {"quality": "negative", "score": "q40"} | 0.589342 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,010 | general | {"quality": "negative", "score": "q40"} | 0.541807 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,011 | general | {"quality": "negative", "score": "q30"} | 0.576215 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,012 | sensitive | {"quality": "neutral", "score": "q65"} | 0.315588 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,013 | questionable | {"quality": "negative", "score": "q45"} | 0.297709 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,014 | general | {"quality": "negative", "score": "q40"} | 0.277263 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,015 | general | {"quality": "neutral", "score": "q75"} | 0.311487 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,016 | general | {"quality": "neutral", "score": "q65"} | 0.533102 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,017 | general | {"quality": "neutral", "score": "q70"} | 0.475735 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,018 | general | {"quality": "negative", "score": "q40"} | 0.226389 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,019 | questionable | {"quality": "negative", "score": "q35"} | 0.462154 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,020 | explicit | {"quality": "positive", "score": "q90"} | 0.490238 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,023 | sensitive | {"quality": "negative", "score": "q25"} | 0.306976 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,025 | general | {"quality": "negative", "score": "q45"} | 0.334711 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,030 | explicit | {"quality": "negative", "score": "q40"} | 0.476379 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,031 | questionable | {"quality": "negative", "score": "q25"} | 0.307513 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,032 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.547693 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,034 | general | {"quality": "negative", "score": "q25"} | 0.485949 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,035 | questionable | {"quality": "neutral", "score": "q50"} | 0.416238 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,036 | general | {"quality": "negative", "score": "q35"} | 0.287694 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,041 | sensitive | {"quality": "negative", "score": "q30"} | 0.597696 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,042 | questionable | {"quality": "negative", "score": "q45"} | 0.590252 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,043 | questionable | {"quality": "neutral", "score": "q75"} | 0.386379 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,044 | explicit | {"quality": "neutral", "score": "q50"} | 0.571164 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
4,045 | questionable | {"quality": "negative", "score": "q35"} | 0.412526 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... |
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