AI image generation and image-to-video generation are often presented as separate tasks. In practice, the quality of a short video depends heavily on the still image you start with.
This is the workflow we use while building Seedream AI Studio, a browser-based workspace that combines Seedream image models with several video-generation options.
1. Design the image for motion
Before generating an image, decide how it should move. An image with one clear subject, visible depth, and a simple background is usually easier to animate than a crowded composition.
Product shots often work well from a three-quarter angle because the video model has enough spatial information to create a small rotation or camera move. For characters, a pose that already suggests action gives the model a clearer continuation.
2. Separate the image prompt from the motion prompt
The image prompt should describe what exists in the frame:
A ceramic coffee cup on a wooden table, warm window light, three-quarter product angle, shallow depth of field
The motion prompt should describe only what changes:
The camera slowly moves closer while steam rises from the cup. Keep the product shape and background stable.
If the composition is wrong, change the image prompt. If the movement is wrong, change the motion prompt.
3. Start with restrained motion
Short generated videos usually benefit from one subject action and one camera action. A useful first test has one clear subject, a locked camera or slow push-in, subtle environmental motion, and a short duration.
After the first result, change one variable at a time. This helps identify whether the input image, motion description, or selected model caused the problem.
4. Choose models by task
Different models can behave differently on product shots, characters, stylized art, and cinematic scenes. Use a faster option for early tests, then compare stronger candidates with the same image and motion prompt.
Seedream AI Studio provides Seedream options for image generation and connects the image-to-video workflow with models including Kling, Hailuo, Wan, Pixverse, Veo, and Seedance. Keeping both steps in one browser workflow makes it easier to reuse the original frame.
5. Treat the result as a source clip
A generated result may still need trimming, music, captions, a final product frame, and export in the correct aspect ratio. Planning for this final edit avoids overloading the generation prompt with work that is easier to control in an editor.
Checklist
- Pick one clear subject.
- Decide the intended motion.
- Create an image with depth and subject separation.
- Write a short motion-only prompt.
- Test restrained movement first.
- Compare models with identical inputs.
- Edit the selected result as a source clip.
You can try this workflow at Seedream AI Studio.
Disclosure: Seedream AI Studio is our product. This post describes the workflow and currently available model categories; it does not claim affiliation with the model providers.
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