PinkiePieTheLalaloopsy/LogoRP
Text-to-Speech • Updated
logo_name string | category string | fnf_moveset dict | mugen_stats dict | cookie_run_abilities dict | visual_references sequence | voice_lines sequence |
|---|---|---|---|---|---|---|
Nickelodeon | TV Channel | {
"attack_type": "Boombox Slam",
"special_notes": [
"Slime Splash",
"TV Static Wave"
],
"beat_speed": "Fast"
} | {
"hp": 1000,
"attack": 250,
"defense": 200,
"speed": 300,
"special_move": "Orange Blimp Blast"
} | {
"dash_effect": "Slime Trail",
"jump_ability": "Blimp Hover",
"skill_activation": "TV Tuning Distortion"
} | [
"nickelodeon_logo_attack.gif",
"nickelodeon_skill_animation.png"
] | [
"Nick Nick Nick... Nickelodeon!",
"Let’s get messy!"
] |
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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Models trained or fine-tuned on PinkiePieTheLalaloopsy/LogoRoleplay