More words do not automatically make a video more controllable
ZHENSHENG separates a video prompt into subject, action, scene, camera, and visual style. Make one decision at a time, edit the basic result when needed, and enhance it only when you want a more executable shot.
Six structured guides and one expression casebook
Each page answers one clear question and includes prompts that you can copy and adapt.
Choose the right input mode
- Text to video: define the full subject, scene, and shot when you do not have a reference image.
- First frame: let the image define appearance and composition; describe what happens after it.
- Start and end frames: let the images define both endpoints; describe the timing and transition between them.
The basic structure of a usable prompt
A controllable prompt usually answers five questions: what is the subject, what does it do, where does it happen, how does the camera observe it, and what should the final image feel like?
Keep each part responsible for one kind of information. If subject motion, environmental change, and camera movement are all complex, split the idea into multiple shots.
When to enhance details
The basic result leaves room for creative changes. Enhance Details adds a more specific appearance, action sequence, camera rhythm, and stability constraints when you are ready to generate.
Always review left/right direction, held objects, character identity, and the intended final position before spending credits.
Four ways to reduce wasted generations
- Give each shot one primary action.
- Use restrained camera movement when the action is complex.
- For start-and-end frames, state when movement begins and when the last frame should be reached.
- After a failure, change one variable at a time: subject, action, camera, or reference image.
What ZHENSHENG cannot guarantee
Models, source images, settings, and random seeds can still produce different outcomes. ZHENSHENG narrows uncertainty; it cannot promise a successful first generation or replace the capabilities of the video model itself.