id int64 4 1.28M | image_url stringlengths 73 73 | rating stringclasses 4
values | quality_meta stringclasses 60
values | seed_ratio float64 0.2 0.6 | messages listlengths 3 3 |
|---|---|---|---|---|---|
3,417 | sensitive | {"quality": "negative", "score": "q35"} | 0.403569 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,418 | sensitive | {"quality": "negative", "score": "q30"} | 0.488757 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,419 | questionable | {"quality": "negative", "score": "q40"} | 0.460945 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,420 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.318916 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,422 | sensitive | {"quality": "negative", "score": "q25"} | 0.213054 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,429 | sensitive | {"quality": "negative", "score": "q35"} | 0.408002 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,430 | questionable | {"quality": "negative", "score": "q45"} | 0.245314 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,431 | sensitive | {"quality": "negative", "score": "q25"} | 0.370966 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,432 | sensitive | {"quality": "very_negative", "resolution": "high", "score": "q15"} | 0.363948 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,434 | questionable | {"quality": "very_negative", "score": "q15"} | 0.407967 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,435 | general | {"quality": "negative", "score": "q35"} | 0.394406 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,436 | sensitive | {"quality": "neutral", "score": "q50"} | 0.260412 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,438 | sensitive | {"quality": "negative", "score": "q30"} | 0.343104 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,441 | sensitive | {"quality": "neutral", "score": "q50"} | 0.435199 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,447 | general | {"quality": "negative", "score": "q40"} | 0.576826 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,448 | general | {"quality": "negative", "score": "q35"} | 0.587808 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,450 | sensitive | {"quality": "negative", "score": "q25"} | 0.412104 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,452 | sensitive | {"quality": "negative", "score": "q25"} | 0.223551 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,453 | sensitive | {"quality": "negative", "score": "q40"} | 0.272817 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,455 | sensitive | {"quality": "negative", "score": "q25"} | 0.277594 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,456 | questionable | {"quality": "neutral", "score": "q75"} | 0.40944 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,457 | general | {"quality": "negative", "score": "q25"} | 0.450336 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,460 | general | {"quality": "very_negative", "score": "q15"} | 0.521813 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,469 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.557069 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,470 | general | {"quality": "neutral", "score": "q55"} | 0.504787 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,471 | sensitive | {"quality": "negative", "score": "q30"} | 0.387818 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,472 | questionable | {"quality": "negative", "score": "q35"} | 0.334088 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,473 | sensitive | {"quality": "negative", "score": "q20"} | 0.25993 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,474 | general | {"quality": "very_negative", "resolution": "high", "score": "q15"} | 0.376717 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,475 | general | {"quality": "negative", "score": "q25"} | 0.553701 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,476 | general | {"quality": "negative", "resolution": "high", "score": "q20"} | 0.398501 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,478 | general | {"quality": "neutral", "resolution": "high", "score": "q75"} | 0.396743 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,483 | general | {"quality": "negative", "score": "q45"} | 0.461295 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,484 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.352007 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,485 | explicit | {"quality": "negative", "score": "q30"} | 0.270735 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,488 | general | {"quality": "negative", "score": "q30"} | 0.540266 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,489 | sensitive | {"quality": "very_negative", "score": "q10"} | 0.500925 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,490 | general | {"quality": "negative", "score": "q25"} | 0.403466 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,493 | sensitive | {"quality": "neutral", "score": "q55"} | 0.48451 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,494 | sensitive | {"quality": "negative", "score": "q40"} | 0.387714 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,495 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.332422 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,499 | explicit | {"quality": "negative", "score": "q45"} | 0.390309 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,502 | general | {"quality": "negative", "score": "q20"} | 0.285014 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,504 | general | {"quality": "negative", "score": "q35"} | 0.425995 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,505 | general | {"quality": "negative", "score": "q40"} | 0.521199 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,506 | sensitive | {"quality": "neutral", "score": "q55"} | 0.358596 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,510 | general | {"quality": "negative", "score": "q35"} | 0.540786 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,514 | sensitive | {"quality": "negative", "score": "q40"} | 0.311837 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,515 | questionable | {"quality": "negative", "score": "q30"} | 0.297895 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,516 | sensitive | {"quality": "negative", "score": "q25"} | 0.554807 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,517 | general | {"quality": "negative", "score": "q20"} | 0.21166 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,519 | sensitive | {"quality": "negative", "score": "q25"} | 0.52153 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,520 | sensitive | {"quality": "neutral", "score": "q60"} | 0.520923 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,522 | general | {"quality": "negative", "score": "q30"} | 0.239989 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,523 | questionable | {"quality": "neutral", "score": "q65"} | 0.573412 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,529 | sensitive | {"quality": "negative", "score": "q45"} | 0.285288 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,530 | explicit | {"quality": "negative", "score": "q25"} | 0.339667 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,531 | explicit | {"quality": "negative", "score": "q30"} | 0.446763 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,537 | sensitive | {"quality": "positive", "score": "q80"} | 0.504132 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,539 | general | {"quality": "negative", "score": "q30"} | 0.354717 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,540 | sensitive | {"quality": "neutral", "score": "q50"} | 0.375628 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,541 | sensitive | {"quality": "neutral", "score": "q65"} | 0.209064 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,543 | sensitive | {"quality": "negative", "score": "q35"} | 0.408304 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,546 | explicit | {"quality": "negative", "score": "q20"} | 0.513804 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,547 | general | {"quality": "negative", "score": "q40"} | 0.3385 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,548 | sensitive | {"quality": "neutral", "score": "q70"} | 0.288201 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,558 | general | {"quality": "negative", "score": "q35"} | 0.266239 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,559 | sensitive | {"quality": "very_negative", "score": "q15"} | 0.518341 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,564 | sensitive | {"quality": "negative", "score": "q35"} | 0.278848 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,570 | sensitive | {"quality": "negative", "score": "q25"} | 0.360417 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,571 | sensitive | {"quality": "negative", "score": "q30"} | 0.342503 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,573 | questionable | {"quality": "neutral", "score": "q55"} | 0.557372 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,574 | questionable | {"quality": "negative", "score": "q20"} | 0.251082 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,575 | sensitive | {"quality": "very_negative", "resolution": "high", "score": "q10"} | 0.215436 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,578 | sensitive | {"quality": "negative", "score": "q25"} | 0.343511 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,579 | sensitive | {"quality": "negative", "score": "q25"} | 0.276485 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,580 | sensitive | {"quality": "negative", "score": "q40"} | 0.20951 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,582 | sensitive | {"quality": "negative", "score": "q30"} | 0.535427 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,583 | questionable | {"quality": "negative", "score": "q35"} | 0.255618 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,585 | sensitive | {"quality": "neutral", "score": "q55"} | 0.342874 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,586 | sensitive | {"quality": "negative", "score": "q25"} | 0.436073 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,587 | sensitive | {"quality": "negative", "score": "q25"} | 0.242244 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,591 | general | {"quality": "negative", "score": "q35"} | 0.3737 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,592 | questionable | {"quality": "neutral", "score": "q60"} | 0.588239 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,593 | questionable | {"quality": "neutral", "score": "q55"} | 0.42906 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,594 | sensitive | {"quality": "neutral", "score": "q60"} | 0.545927 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,604 | sensitive | {"quality": "neutral", "score": "q65"} | 0.591969 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,609 | sensitive | {"quality": "negative", "score": "q35"} | 0.276781 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,623 | sensitive | {"quality": "neutral", "score": "q55"} | 0.583161 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,628 | questionable | {"quality": "negative", "score": "q40"} | 0.579439 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,640 | explicit | {"quality": "positive", "score": "q90"} | 0.446493 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,642 | questionable | {"quality": "neutral", "score": "q60"} | 0.343613 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,643 | sensitive | {"quality": "negative", "score": "q25"} | 0.218398 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,645 | general | {"quality": "negative", "score": "q45"} | 0.594744 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,647 | general | {"quality": "negative", "score": "q20"} | 0.531591 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,648 | questionable | {"quality": "neutral", "score": "q65"} | 0.263649 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,652 | sensitive | {"quality": "negative", "score": "q20"} | 0.53211 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,653 | sensitive | {"quality": "negative", "score": "q35"} | 0.269578 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,656 | explicit | {"quality": "neutral", "score": "q70"} | 0.479255 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and a partial set of tags the user already wants, output the complete tag prompt: a single comma-separated list of Danbooru-style tags (ke... | |
3,658 | explicit | {"quality": "positive", "score": "q80"} | 0.455525 | [
{
"role": "system",
"content": "You are a prompt generator for a tag-based text-to-image model. Given a target character, copyright/series, quality-control conditioning, and 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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