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 |
|---|---|---|---|---|---|
2,269 | sensitive | {"quality": "positive", "score": "q85"} | 0.39644 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,271 | general | {"quality": "negative", "score": "q40"} | 0.423409 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,275 | questionable | {"quality": "negative", "score": "q30"} | 0.431944 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,276 | questionable | {"quality": "negative", "score": "q45"} | 0.235927 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,280 | sensitive | {"quality": "negative", "score": "q30"} | 0.379734 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,284 | sensitive | {"quality": "negative", "score": "q45"} | 0.577429 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,285 | sensitive | {"quality": "negative", "score": "q30"} | 0.465111 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,286 | general | {"quality": "neutral", "score": "q60"} | 0.362269 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,287 | questionable | {"quality": "positive", "score": "q85"} | 0.441348 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,289 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.456291 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,291 | questionable | {"quality": "negative", "score": "q45"} | 0.483105 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,300 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.54336 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,303 | general | {"quality": "negative", "score": "q20"} | 0.317548 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,305 | sensitive | {"quality": "neutral", "score": "q70"} | 0.48415 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,306 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.554347 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,308 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.208345 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,309 | sensitive | {"quality": "negative", "score": "q30"} | 0.490004 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,310 | sensitive | {"quality": "negative", "score": "q20"} | 0.498263 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,312 | sensitive | {"quality": "negative", "score": "q45"} | 0.271409 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,314 | sensitive | {"quality": "negative", "score": "q45"} | 0.480831 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,316 | sensitive | {"quality": "negative", "score": "q30"} | 0.495375 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,319 | questionable | {"quality": "neutral", "score": "q70"} | 0.587465 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,320 | questionable | {"quality": "neutral", "score": "q55"} | 0.264676 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,322 | explicit | {"quality": "neutral", "score": "q70"} | 0.527709 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,325 | questionable | {"quality": "neutral", "resolution": "high", "score": "q65"} | 0.379728 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,326 | questionable | {"quality": "neutral", "resolution": "high", "score": "q60"} | 0.519107 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,328 | explicit | {"quality": "neutral", "score": "q60"} | 0.539075 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,329 | sensitive | {"quality": "negative", "score": "q35"} | 0.254939 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,330 | sensitive | {"quality": "negative", "score": "q40"} | 0.239836 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,331 | sensitive | {"quality": "neutral", "score": "q55"} | 0.516921 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,333 | general | {"quality": "negative", "score": "q20"} | 0.517881 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,337 | explicit | {"quality": "neutral", "score": "q70"} | 0.333628 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,338 | general | {"quality": "neutral", "score": "q55"} | 0.239137 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,339 | questionable | {"quality": "neutral", "resolution": "very_high", "score": "q50"} | 0.361167 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,340 | general | {"quality": "negative", "score": "q40"} | 0.512957 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,341 | general | {"quality": "neutral", "score": "q60"} | 0.492562 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,342 | questionable | {"quality": "negative", "score": "q45"} | 0.426736 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,346 | questionable | {"quality": "neutral", "resolution": "high", "score": "q60"} | 0.240636 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,351 | sensitive | {"quality": "neutral", "score": "q55"} | 0.539408 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,353 | sensitive | {"quality": "negative", "score": "q45"} | 0.355593 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,355 | sensitive | {"quality": "negative", "score": "q30"} | 0.516801 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,356 | questionable | {"quality": "neutral", "score": "q65"} | 0.538423 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,357 | explicit | {"quality": "negative", "score": "q45"} | 0.218004 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,358 | explicit | {"quality": "neutral", "score": "q50"} | 0.539089 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,362 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.502415 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,364 | explicit | {"quality": "negative", "score": "q35"} | 0.379448 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,366 | general | {"quality": "negative", "score": "q25"} | 0.477042 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,368 | general | {"quality": "very_negative", "score": "q15"} | 0.230858 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,369 | general | {"quality": "negative", "score": "q45"} | 0.549971 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,373 | sensitive | {"quality": "negative", "score": "q20"} | 0.219095 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,374 | questionable | {"quality": "neutral", "score": "q70"} | 0.30588 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,375 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.329794 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,376 | questionable | {"quality": "negative", "score": "q35"} | 0.446019 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,380 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.30134 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,383 | questionable | {"quality": "negative", "resolution": "high", "score": "q45"} | 0.337656 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,384 | sensitive | {"quality": "negative", "score": "q45"} | 0.356598 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,389 | general | {"quality": "very_negative", "score": "q15"} | 0.317005 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,390 | explicit | {"quality": "neutral", "resolution": "high", "score": "q60"} | 0.470073 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,392 | sensitive | {"quality": "neutral", "score": "q55"} | 0.589631 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,394 | questionable | {"quality": "neutral", "score": "q65"} | 0.357547 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,402 | questionable | {"quality": "negative", "score": "q20"} | 0.502227 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,404 | general | {"quality": "neutral", "score": "q55"} | 0.487709 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,405 | sensitive | {"quality": "negative", "score": "q35"} | 0.208358 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,406 | general | {"quality": "neutral", "score": "q75"} | 0.260981 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,408 | sensitive | {"quality": "negative", "score": "q35"} | 0.58254 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,409 | sensitive | {"quality": "neutral", "resolution": "high", "score": "q50"} | 0.316375 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,411 | sensitive | {"quality": "neutral", "score": "q70"} | 0.598839 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,413 | sensitive | {"quality": "very_negative", "score": "q5"} | 0.406234 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,414 | sensitive | {"quality": "negative", "score": "q30"} | 0.319439 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,415 | questionable | {"quality": "neutral", "score": "q65"} | 0.219375 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,420 | general | {"quality": "negative", "score": "q45"} | 0.383874 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,421 | sensitive | {"quality": "negative", "score": "q30"} | 0.265406 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,423 | general | {"quality": "negative", "score": "q20"} | 0.30293 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,425 | sensitive | {"quality": "neutral", "score": "q55"} | 0.390121 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,426 | sensitive | {"quality": "neutral", "score": "q50"} | 0.477774 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,430 | general | {"quality": "negative", "score": "q20"} | 0.551943 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,431 | questionable | {"quality": "neutral", "score": "q55"} | 0.446054 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,432 | general | {"quality": "neutral", "score": "q70"} | 0.515594 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,434 | sensitive | {"quality": "negative", "score": "q40"} | 0.365921 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,435 | general | {"quality": "neutral", "score": "q65"} | 0.400385 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,439 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.317418 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,440 | general | {"quality": "neutral", "score": "q50"} | 0.439061 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,446 | sensitive | {"quality": "negative", "score": "q30"} | 0.339477 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,452 | general | {"quality": "neutral", "score": "q60"} | 0.409122 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,454 | sensitive | {"quality": "negative", "score": "q40"} | 0.528286 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,455 | sensitive | {"quality": "negative", "score": "q35"} | 0.40501 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,458 | sensitive | {"quality": "negative", "score": "q45"} | 0.450875 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,461 | questionable | {"quality": "neutral", "score": "q55"} | 0.352378 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,462 | general | {"quality": "negative", "score": "q35"} | 0.315002 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,464 | sensitive | {"quality": "negative", "score": "q45"} | 0.361639 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,465 | sensitive | {"quality": "negative", "score": "q45"} | 0.420857 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,469 | sensitive | {"quality": "neutral", "score": "q60"} | 0.539828 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,470 | questionable | {"quality": "very_negative", "resolution": "high", "score": "q10"} | 0.493639 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,471 | questionable | {"quality": "very_negative", "score": "q5"} | 0.468685 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,472 | explicit | {"quality": "neutral", "score": "q50"} | 0.288423 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,473 | general | {"quality": "negative", "score": "q45"} | 0.579956 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,474 | sensitive | {"quality": "neutral", "score": "q55"} | 0.355394 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,475 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.494906 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,477 | questionable | {"quality": "positive", "resolution": "high", "score": "q80"} | 0.467092 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
2,478 | sensitive | {"quality": "negative", "score": "q40"} | 0.495699 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and 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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