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 |
|---|---|---|---|---|---|
2,697 | sensitive | {"quality": "neutral", "score": "q50"} | 0.343258 | [
{
"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... | |
2,698 | questionable | {"quality": "negative", "score": "q45"} | 0.445295 | [
{
"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... | |
2,702 | general | {"quality": "negative", "score": "q30"} | 0.215365 | [
{
"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... | |
2,703 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.464454 | [
{
"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... | |
2,705 | sensitive | {"quality": "negative", "score": "q45"} | 0.311085 | [
{
"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... | |
2,707 | general | {"quality": "negative", "score": "q45"} | 0.245061 | [
{
"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... | |
2,721 | general | {"quality": "negative", "score": "q45"} | 0.594726 | [
{
"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... | |
2,722 | general | {"quality": "neutral", "score": "q60"} | 0.486119 | [
{
"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... | |
2,723 | general | {"quality": "negative", "score": "q40"} | 0.323654 | [
{
"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... | |
2,724 | general | {"quality": "neutral", "score": "q55"} | 0.542407 | [
{
"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... | |
2,725 | general | {"quality": "negative", "score": "q35"} | 0.277853 | [
{
"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... | |
2,727 | sensitive | {"quality": "negative", "score": "q30"} | 0.295471 | [
{
"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... | |
2,729 | general | {"quality": "neutral", "score": "q65"} | 0.540645 | [
{
"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... | |
2,730 | general | {"quality": "negative", "score": "q30"} | 0.207148 | [
{
"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... | |
2,731 | general | {"quality": "negative", "score": "q30"} | 0.224216 | [
{
"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... | |
2,732 | sensitive | {"quality": "positive", "score": "q80"} | 0.387849 | [
{
"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... | |
2,735 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.522162 | [
{
"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... | |
2,744 | sensitive | {"quality": "negative", "score": "q45"} | 0.265989 | [
{
"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... | |
2,748 | general | {"quality": "negative", "score": "q20"} | 0.462748 | [
{
"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... | |
2,750 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.291423 | [
{
"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... | |
2,753 | general | {"quality": "negative", "score": "q20"} | 0.273663 | [
{
"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... | |
2,756 | sensitive | {"quality": "negative", "score": "q45"} | 0.504366 | [
{
"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... | |
2,759 | sensitive | {"quality": "negative", "score": "q40"} | 0.372391 | [
{
"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... | |
2,762 | sensitive | {"quality": "negative", "score": "q35"} | 0.27189 | [
{
"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... | |
2,763 | sensitive | {"quality": "negative", "score": "q35"} | 0.451136 | [
{
"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... | |
2,766 | sensitive | {"quality": "neutral", "score": "q50"} | 0.59308 | [
{
"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... | |
2,767 | sensitive | {"quality": "negative", "score": "q20"} | 0.482164 | [
{
"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... | |
2,771 | general | {"quality": "negative", "score": "q45"} | 0.548809 | [
{
"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... | |
2,772 | general | {"quality": "neutral", "score": "q60"} | 0.525779 | [
{
"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... | |
2,774 | sensitive | {"quality": "positive", "score": "q85"} | 0.377404 | [
{
"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... | |
2,775 | general | {"quality": "negative", "score": "q45"} | 0.5347 | [
{
"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... | |
2,777 | questionable | {"quality": "positive", "resolution": "high", "score": "q85"} | 0.436635 | [
{
"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... | |
2,778 | general | {"quality": "negative", "score": "q40"} | 0.366277 | [
{
"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... | |
2,784 | general | {"quality": "neutral", "score": "q50"} | 0.469631 | [
{
"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... | |
2,785 | general | {"quality": "neutral", "score": "q70"} | 0.340708 | [
{
"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... | |
2,786 | sensitive | {"quality": "neutral", "score": "q60"} | 0.517707 | [
{
"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... | |
2,787 | general | {"quality": "neutral", "score": "q65"} | 0.257349 | [
{
"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... | |
2,792 | sensitive | {"quality": "neutral", "score": "q50"} | 0.463331 | [
{
"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... | |
2,794 | sensitive | {"quality": "negative", "score": "q35"} | 0.401417 | [
{
"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... | |
2,795 | general | {"quality": "negative", "resolution": "high", "score": "q30"} | 0.281819 | [
{
"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... | |
2,796 | sensitive | {"quality": "neutral", "score": "q70"} | 0.592615 | [
{
"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... | |
2,797 | general | {"quality": "negative", "score": "q30"} | 0.298438 | [
{
"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... | |
2,798 | general | {"quality": "negative", "score": "q40"} | 0.20821 | [
{
"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... | |
2,800 | general | {"quality": "negative", "score": "q40"} | 0.501513 | [
{
"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... | |
2,801 | sensitive | {"quality": "negative", "score": "q25"} | 0.429108 | [
{
"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... | |
2,802 | sensitive | {"quality": "negative", "score": "q35"} | 0.547664 | [
{
"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... | |
2,806 | explicit | {"quality": "positive", "score": "q90"} | 0.22977 | [
{
"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... | |
2,807 | general | {"quality": "negative", "score": "q25"} | 0.456669 | [
{
"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... | |
2,809 | questionable | {"quality": "negative", "score": "q25"} | 0.225416 | [
{
"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... | |
2,810 | sensitive | {"quality": "negative", "score": "q30"} | 0.31304 | [
{
"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... | |
2,811 | general | {"quality": "very_negative", "score": "q15"} | 0.272071 | [
{
"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... | |
2,812 | general | {"quality": "negative", "score": "q35"} | 0.535318 | [
{
"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... | |
2,813 | sensitive | {"quality": "negative", "score": "q40"} | 0.424342 | [
{
"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... | |
2,814 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.309415 | [
{
"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... | |
2,823 | general | {"quality": "negative", "score": "q30"} | 0.344722 | [
{
"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... | |
2,825 | sensitive | {"quality": "positive", "score": "q85"} | 0.30755 | [
{
"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... | |
2,827 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.244965 | [
{
"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... | |
2,829 | questionable | {"quality": "positive", "score": "q80"} | 0.500274 | [
{
"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... | |
2,830 | sensitive | {"quality": "negative", "score": "q20"} | 0.496155 | [
{
"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... | |
2,834 | sensitive | {"quality": "negative", "score": "q30"} | 0.205854 | [
{
"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... | |
2,835 | general | {"quality": "negative", "score": "q40"} | 0.401102 | [
{
"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... | |
2,838 | sensitive | {"quality": "negative", "score": "q30"} | 0.428707 | [
{
"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... | |
2,839 | questionable | {"quality": "neutral", "score": "q55"} | 0.341257 | [
{
"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... | |
2,840 | general | {"quality": "neutral", "score": "q50"} | 0.458997 | [
{
"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... | |
2,841 | sensitive | {"quality": "negative", "score": "q35"} | 0.348687 | [
{
"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... | |
2,842 | sensitive | {"quality": "neutral", "score": "q55"} | 0.272212 | [
{
"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... | |
2,844 | general | {"quality": "negative", "resolution": "very_high", "score": "q45"} | 0.433504 | [
{
"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... | |
2,846 | general | {"quality": "negative", "score": "q25"} | 0.563822 | [
{
"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... | |
2,849 | general | {"quality": "negative", "resolution": "high", "score": "q35"} | 0.200502 | [
{
"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... | |
2,850 | general | {"quality": "negative", "resolution": "high", "score": "q25"} | 0.221746 | [
{
"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... | |
2,851 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.579653 | [
{
"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... | |
2,857 | questionable | {"quality": "negative", "score": "q30"} | 0.269436 | [
{
"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... | |
2,858 | sensitive | {"quality": "negative", "score": "q25"} | 0.233809 | [
{
"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... | |
2,859 | sensitive | {"quality": "negative", "score": "q25"} | 0.470576 | [
{
"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... | |
2,860 | sensitive | {"quality": "very_negative", "score": "q5"} | 0.247984 | [
{
"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... | |
2,862 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.309282 | [
{
"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... | |
2,866 | general | {"quality": "negative", "score": "q25"} | 0.545499 | [
{
"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... | |
2,874 | sensitive | {"quality": "negative", "score": "q20"} | 0.541686 | [
{
"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... | |
2,875 | questionable | {"quality": "neutral", "score": "q50"} | 0.400706 | [
{
"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... | |
2,878 | sensitive | {"quality": "negative", "score": "q25"} | 0.38593 | [
{
"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... | |
2,890 | general | {"quality": "negative", "score": "q35"} | 0.269582 | [
{
"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... | |
2,892 | sensitive | {"quality": "negative", "score": "q35"} | 0.392121 | [
{
"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... | |
2,899 | sensitive | {"quality": "positive", "score": "q90"} | 0.584717 | [
{
"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... | |
2,901 | questionable | {"quality": "neutral", "score": "q65"} | 0.593756 | [
{
"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... | |
2,902 | sensitive | {"quality": "negative", "resolution": "high", "score": "q35"} | 0.211741 | [
{
"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... | |
2,903 | sensitive | {"quality": "negative", "resolution": "high", "score": "q25"} | 0.270458 | [
{
"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... | |
2,906 | general | {"quality": "negative", "score": "q45"} | 0.20222 | [
{
"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... | |
2,908 | general | {"quality": "neutral", "score": "q50"} | 0.276154 | [
{
"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... | |
2,911 | questionable | {"quality": "very_negative", "score": "q10"} | 0.554543 | [
{
"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... | |
2,912 | general | {"quality": "negative", "score": "q25"} | 0.32571 | [
{
"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... | |
2,914 | general | {"quality": "very_negative", "resolution": "very_high", "score": "q15"} | 0.374002 | [
{
"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... | |
2,917 | general | {"quality": "negative", "score": "q30"} | 0.219336 | [
{
"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... | |
2,918 | explicit | {"quality": "neutral", "score": "q55"} | 0.306455 | [
{
"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... | |
2,919 | sensitive | {"quality": "negative", "score": "q35"} | 0.536159 | [
{
"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... | |
2,920 | sensitive | {"quality": "negative", "score": "q40"} | 0.273562 | [
{
"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... | |
2,921 | sensitive | {"quality": "negative", "score": "q30"} | 0.472436 | [
{
"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... | |
2,922 | sensitive | {"quality": "neutral", "score": "q50"} | 0.217925 | [
{
"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... | |
2,923 | explicit | {"quality": "positive", "score": "q90"} | 0.527269 | [
{
"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... | |
2,925 | sensitive | {"quality": "neutral", "score": "q70"} | 0.551735 | [
{
"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... | |
2,926 | sensitive | {"quality": "negative", "score": "q25"} | 0.282987 | [
{
"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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