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

Description and use

The author outlines a workflow for AI video generation using MiniMax H3, emphasizing structured prompts and small iterations to achieve consistent results in text-to-video and image-to-video tasks.

Problem

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.

Outcome

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.

Workflow

• 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.

Evidence

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.'

Source

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.

Source