概览
主要功能
- 文本转视频和图片转视频生成
- 镜头内角色和风格的一致性
- 运动和摄像机控制选项
- 引用视频条件
- 多模式输入
- 输出就绪的小视频
价格
- 模型
- Free
- 评分
- 4.2 / 5 (6)
使用场景
一致的短视频
生成带有角色和风格的一致性短片段，帮助创作者保持视觉身份而无需重新编辑每个帧。
独立电影预演
从文本和参考图片生成预演序列，测试场景、摄像机移动和视觉风格之前投入完整摄制。
营销片段原型
使用图片转视频和参考条件快速原型广告概念和产品故事，迭代视觉效果前投入终端活动。
角色驱动的故事
生产剧角色和场景在不同的镜头中保持美观的一致性，适合连续性内容和概念故事。
优点 & 缺点
优点
- 剧角色和场景之间的一致性
- 支持多模式输入：文本、图片和参考视频
- 对运动和风格有细微的控制
- 快速的视频原型设计有利
缺点
- 短片长度和分辨率可能有限
- 精细控制需要一定的学习曲线
- 图案复杂度随着提示会导致质量不同的
- 计算密集的渲染可能会消耗大量时间
评测
6 个评分的平均值。
登录以留下评测。
Years in this space
I've evaluated a lot of these over the years. What stands out here is export-ready short video clips — handled better than most — and granular control over motion and style. Quality varies with prompt complexity is my one real gripe. Worth the time if this is your use case.
Use it every day
Honestly didn't expect to like it this much. Export-ready short video clips is exactly what I needed, and granular control over motion and style. I do wish learning curve for advanced controls, but I reach for it almost every day now and it just clicks.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on export-ready short video clips, and granular control over motion and style caught me off guard. Quality varies with prompt complexity is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on motion and camera control options, and strong character and scene consistency across clips caught me off guard. Learning curve for advanced controls is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Does the job
Pretty happy overall. Reference-based video conditioning just works and supports multimodal inputs: text, image, and reference video. but no dealbreakers — I'd recommend it to a friend without hesitating.
Solid for our team
We rolled this out across the team last quarter and strong character and scene consistency across clips. Reference-based video conditioning fits neatly into how we already work, and multimodal prompt inputs removed a step we used to do by hand. Quality varies with prompt complexity, which is the main caveat, but it has held up under daily use.
问答
暂无问题 — 来当第一个提问的人吧。
提问
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