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 |
|---|---|---|---|---|---|
4,046 | general | {"quality": "neutral", "score": "q50"} | 0.565503 | [
{
"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... | |
4,047 | sensitive | {"quality": "negative", "score": "q25"} | 0.297085 | [
{
"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... | |
4,051 | questionable | {"quality": "neutral", "score": "q55"} | 0.495306 | [
{
"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... | |
4,056 | sensitive | {"quality": "negative", "score": "q40"} | 0.398203 | [
{
"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... | |
4,057 | sensitive | {"quality": "very_negative", "score": "q5"} | 0.542733 | [
{
"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... | |
4,059 | general | {"quality": "negative", "score": "q20"} | 0.242027 | [
{
"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... | |
4,061 | explicit | {"quality": "neutral", "score": "q65"} | 0.29406 | [
{
"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... | |
4,065 | general | {"quality": "neutral", "score": "q60"} | 0.2879 | [
{
"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... | |
4,066 | sensitive | {"quality": "negative", "score": "q20"} | 0.509531 | [
{
"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... | |
4,068 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.219875 | [
{
"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... | |
4,069 | general | {"quality": "very_negative", "score": "q10"} | 0.338535 | [
{
"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... | |
4,070 | general | {"quality": "negative", "score": "q35"} | 0.519994 | [
{
"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... | |
4,079 | explicit | {"quality": "neutral", "score": "q70"} | 0.352393 | [
{
"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... | |
4,083 | general | {"quality": "very_negative", "score": "q10"} | 0.541282 | [
{
"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... | |
4,085 | sensitive | {"quality": "negative", "score": "q40"} | 0.269315 | [
{
"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... | |
4,086 | general | {"quality": "negative", "resolution": "high", "score": "q40"} | 0.374516 | [
{
"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... | |
4,088 | sensitive | {"quality": "negative", "resolution": "high", "score": "q40"} | 0.228218 | [
{
"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... | |
4,091 | general | {"quality": "neutral", "resolution": "high", "score": "q55"} | 0.37396 | [
{
"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... | |
4,093 | questionable | {"quality": "negative", "resolution": "very_high", "score": "q45"} | 0.519681 | [
{
"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... | |
4,094 | sensitive | {"quality": "negative", "resolution": "very_high", "score": "q30"} | 0.305064 | [
{
"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... | |
4,095 | sensitive | {"quality": "negative", "score": "q25"} | 0.586496 | [
{
"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... | |
4,096 | general | {"quality": "negative", "resolution": "very_high", "score": "q30"} | 0.443419 | [
{
"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... | |
4,102 | sensitive | {"quality": "very_negative", "score": "q5"} | 0.396108 | [
{
"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... | |
4,110 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.291987 | [
{
"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... | |
4,114 | general | {"quality": "negative", "score": "q25"} | 0.394701 | [
{
"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... | |
4,116 | general | {"quality": "negative", "score": "q40"} | 0.243527 | [
{
"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... | |
4,118 | sensitive | {"quality": "negative", "score": "q35"} | 0.288387 | [
{
"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... | |
4,119 | questionable | {"quality": "positive", "score": "q85"} | 0.479755 | [
{
"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... | |
4,120 | explicit | {"quality": "neutral", "score": "q75"} | 0.391054 | [
{
"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... | |
4,122 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.27364 | [
{
"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... | |
4,123 | sensitive | {"quality": "negative", "score": "q35"} | 0.387753 | [
{
"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... | |
4,126 | questionable | {"quality": "negative", "score": "q40"} | 0.409335 | [
{
"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... | |
4,127 | general | {"quality": "negative", "score": "q30"} | 0.314101 | [
{
"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... | |
4,129 | sensitive | {"quality": "negative", "score": "q25"} | 0.244261 | [
{
"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... | |
4,133 | questionable | {"quality": "neutral", "score": "q70"} | 0.286501 | [
{
"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... | |
4,135 | sensitive | {"quality": "positive", "score": "q80"} | 0.561193 | [
{
"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... | |
4,136 | questionable | {"quality": "negative", "score": "q35"} | 0.207902 | [
{
"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... | |
4,138 | sensitive | {"quality": "negative", "score": "q35"} | 0.498457 | [
{
"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... | |
4,139 | sensitive | {"quality": "neutral", "score": "q65"} | 0.593061 | [
{
"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... | |
4,142 | sensitive | {"quality": "negative", "score": "q25"} | 0.224904 | [
{
"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... | |
4,144 | general | {"quality": "negative", "score": "q45"} | 0.4697 | [
{
"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... | |
4,145 | questionable | {"quality": "negative", "score": "q30"} | 0.320338 | [
{
"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... | |
4,146 | sensitive | {"quality": "negative", "score": "q30"} | 0.314853 | [
{
"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... | |
4,150 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.374279 | [
{
"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... | |
4,154 | explicit | {"quality": "neutral", "score": "q75"} | 0.572667 | [
{
"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... | |
4,156 | sensitive | {"quality": "negative", "resolution": "high", "score": "q30"} | 0.472934 | [
{
"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... | |
4,157 | questionable | {"quality": "negative", "score": "q25"} | 0.326773 | [
{
"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... | |
4,159 | general | {"quality": "negative", "score": "q30"} | 0.274553 | [
{
"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... | |
4,163 | questionable | {"quality": "negative", "score": "q30"} | 0.504346 | [
{
"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... | |
4,167 | sensitive | {"quality": "negative", "score": "q35"} | 0.389083 | [
{
"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... | |
4,168 | sensitive | {"quality": "negative", "score": "q45"} | 0.387232 | [
{
"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... | |
4,169 | questionable | {"quality": "negative", "score": "q45"} | 0.546604 | [
{
"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... | |
4,171 | general | {"quality": "negative", "score": "q25"} | 0.29475 | [
{
"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... | |
4,174 | sensitive | {"quality": "negative", "score": "q35"} | 0.226786 | [
{
"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... | |
4,175 | sensitive | {"quality": "negative", "score": "q30"} | 0.588083 | [
{
"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... | |
4,176 | sensitive | {"quality": "negative", "score": "q30"} | 0.208547 | [
{
"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... | |
4,179 | explicit | {"quality": "neutral", "score": "q55"} | 0.32962 | [
{
"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... | |
4,180 | general | {"quality": "negative", "score": "q45"} | 0.440498 | [
{
"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... | |
4,184 | sensitive | {"quality": "negative", "resolution": "high", "score": "q30"} | 0.54328 | [
{
"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... | |
4,185 | questionable | {"quality": "negative", "resolution": "high", "score": "q40"} | 0.375582 | [
{
"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... | |
4,186 | questionable | {"quality": "negative", "score": "q45"} | 0.596008 | [
{
"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... | |
4,187 | explicit | {"quality": "neutral", "score": "q50"} | 0.326628 | [
{
"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... | |
4,188 | sensitive | {"quality": "negative", "score": "q45"} | 0.446791 | [
{
"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... | |
4,189 | sensitive | {"quality": "negative", "score": "q40"} | 0.292644 | [
{
"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... | |
4,190 | sensitive | {"quality": "negative", "score": "q45"} | 0.48369 | [
{
"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... | |
4,191 | sensitive | {"quality": "neutral", "score": "q55"} | 0.31449 | [
{
"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... | |
4,192 | sensitive | {"quality": "negative", "score": "q20"} | 0.278689 | [
{
"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... | |
4,193 | sensitive | {"quality": "neutral", "score": "q75"} | 0.507466 | [
{
"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... | |
4,195 | sensitive | {"quality": "neutral", "resolution": "very_high", "score": "q60"} | 0.24629 | [
{
"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... | |
4,196 | questionable | {"quality": "neutral", "score": "q50"} | 0.586082 | [
{
"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... | |
4,199 | questionable | {"quality": "negative", "score": "q30"} | 0.227797 | [
{
"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... | |
4,200 | sensitive | {"quality": "negative", "score": "q25"} | 0.4207 | [
{
"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... | |
4,201 | general | {"quality": "negative", "score": "q40"} | 0.361548 | [
{
"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... | |
4,202 | questionable | {"quality": "negative", "score": "q45"} | 0.507744 | [
{
"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... | |
4,205 | sensitive | {"quality": "negative", "score": "q25"} | 0.331102 | [
{
"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... | |
4,207 | general | {"quality": "negative", "score": "q30"} | 0.37532 | [
{
"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... | |
4,208 | general | {"quality": "negative", "score": "q30"} | 0.240464 | [
{
"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... | |
4,209 | general | {"quality": "negative", "score": "q35"} | 0.511815 | [
{
"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... | |
4,210 | general | {"quality": "negative", "score": "q35"} | 0.449096 | [
{
"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... | |
4,211 | general | {"quality": "negative", "score": "q30"} | 0.392273 | [
{
"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... | |
4,213 | questionable | {"quality": "very_negative", "score": "q15"} | 0.300361 | [
{
"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... | |
4,215 | questionable | {"quality": "neutral", "score": "q70"} | 0.499439 | [
{
"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... | |
4,216 | sensitive | {"quality": "neutral", "score": "q55"} | 0.210097 | [
{
"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... | |
4,218 | questionable | {"quality": "negative", "resolution": "high", "score": "q25"} | 0.545993 | [
{
"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... | |
4,219 | sensitive | {"quality": "negative", "score": "q30"} | 0.543683 | [
{
"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... | |
4,220 | sensitive | {"quality": "negative", "score": "q25"} | 0.599629 | [
{
"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... | |
4,223 | sensitive | {"quality": "negative", "score": "q40"} | 0.381163 | [
{
"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... | |
4,224 | sensitive | {"quality": "negative", "score": "q25"} | 0.22662 | [
{
"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... | |
4,225 | general | {"quality": "negative", "score": "q45"} | 0.535372 | [
{
"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... | |
4,226 | questionable | {"quality": "negative", "resolution": "high", "score": "q25"} | 0.455782 | [
{
"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... | |
4,235 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.335821 | [
{
"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... | |
4,237 | general | {"quality": "neutral", "score": "q65"} | 0.401454 | [
{
"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... | |
4,238 | questionable | {"quality": "negative", "score": "q45"} | 0.27343 | [
{
"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... | |
4,239 | explicit | {"quality": "positive", "score": "q80"} | 0.461769 | [
{
"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... | |
4,240 | sensitive | {"quality": "neutral", "score": "q60"} | 0.429223 | [
{
"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... | |
4,243 | general | {"quality": "very_negative", "score": "q10"} | 0.508308 | [
{
"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... | |
4,247 | sensitive | {"quality": "negative", "score": "q30"} | 0.529571 | [
{
"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... | |
4,255 | sensitive | {"quality": "negative", "score": "q30"} | 0.400098 | [
{
"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... | |
4,256 | sensitive | {"quality": "negative", "score": "q20"} | 0.375006 | [
{
"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... | |
4,257 | sensitive | {"quality": "negative", "score": "q20"} | 0.282247 | [
{
"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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