Frustrated by AI videos always looking sluggish? Or are you looking for that perfect cinematic slow-motion? The Motion Speed Slider is a Concept Slider LoRA custom-built for MiniMax H3. It grants you absolute control over character action speed and spatial movement in your generations!No need for complex prompt engineering. By simply adjusting the LoRA weight, you can seamlessly switch between "hyper-speed dashes" and "bullet time," making it perfectly suited for high-dynamic scenes like combat, dancing, and dynamic camera tracking.<h3 id="how-to-use">⚙️ How to Use</h3>This model operates as a Concept Slider. It requires NO trigger words. You control the motion speed purely through positive and negative weights:⏩ To Accelerate (Positive Weight):<ul><li>Recommended Weight: <code>+0.5</code> to <code>+4.0</code></li><li>Effect: Significantly speeds up character actions and spatial movement.</li><li>Best For: Intense martial arts combat, high-speed running, fast camera panning, and explosive action sequences.</li></ul>⏪ To Decelerate (Negative Weight):<ul><li>Recommended Weight: <code>-0.5</code> to <code>-4.0</code></li><li>Effect: Slows down the action, delivering a smooth, slow-motion texture.</li><li>Best For: Cinematic slow-motion, bullet time, elegant dance delays, and emotional close-up shots.</li></ul>苦恼于 AI 视频的动作总是慢吞吞的？或者想要完美的电影级慢动作？ Motion Speed Slider 是专为 MiniMax H3 打造的概念滑块（Concept Slider）LoRA。它赋予你对画面中人物动作快慢和空间位移速度的绝对控制权！无需复杂的提示词玄学，只需简单地调整 LoRA 权重，即可实现从“极速瞬移”到“子弹时间”的无缝切换，完美适配动作打斗、舞蹈、运镜等高动态场景。<h2 id="(how-to-use)">⚙️ 使用方法 (How to Use)</h2>本模型为滑块机制（Slider），无需触发词，仅通过正负权重（Weight）来控制画面速度：<ul><li>⏩ 想要加速 (正权重 / Positive Weight)：<ul><li>推荐权重：<code>+0.5</code> 到 <code>+4.0</code></li><li>效果： 显著加快人物动作与画面移动速度。</li><li>适用场景： 激烈的武术格斗、高速奔跑、极速运镜、充满爆发力的动作片段。</li></ul></li><li>⏪ 想要减速 (负权重 / Negative Weight)：<ul><li>推荐权重：<code>-0.5</code> 到 <code>-4.0</code></li><li>效果： 减缓动作速度，带来平滑的慢放质感。</li><li>适用场景： 电影级慢动作（Slow-motion）、子弹时间、优雅的舞蹈延时、抒情的特写镜头。</li></ul></li></ul>

Files with SHA256: 15aaf835368251c9de9ed375a6dfa57d1998cde24d92a7ff82f78bf82d63f974