Building an AI Video Workflow with MiniMax H3: Text-to-Video and Image-to-Video

说明与用途

作者介绍了使用 MiniMax H3 进行 AI 视频生成的工作流程，强调通过结构化提示词和小步迭代来实现文本转视频和图像转视频任务中的稳定结果。

问题

AI video generation requires more than simple prompts to achieve consistent, high-quality results. Users often struggle with defining clear visual goals, controlling motion, and iterating effectively.

结果

A repeatable workflow for generating consistent AI videos using MiniMax H3 by structuring prompts for clarity and using small, targeted iterations to refine motion and visual elements.

工作流

• Define a clear visual goal including subject, environment, camera movement, lighting, visual style, and desired motion.
• For text-to-video, structure the prompt into three parts: Scene + Motion + Camera.
• For image-to-video, focus the prompt on motion elements such as character movement, camera movement, environmental effects, and changes over time, rather than re-describing the image.
• Generate a basic version of the video.
• Identify the biggest problem in the output.
• Change only one or two prompt elements.
• Generate again and compare the result to understand improvements.
• Repeat the iteration process until the desired quality is achieved.

证据

Instead of: 'A woman walking in a city' Try something more structured: 'A woman in a black coat walking through a rainy Tokyo street at night, cinematic lighting, reflections on wet pavement, slow tracking shot, shallow depth of field.'

来源

One mistake I made early on was changing too many things between generations. A better workflow is: Generate a basic version, Identify the biggest problem, Change one or two prompt elements, Generate again, Compare the result.

来源