Key takeaways
- Video generation requires more processing than text or still images.
- Character appearance and motion may change across frames.
- Video actions can use more tokens and have stricter limits.
- Prompts and outputs remain subject to privacy and content policies.
How character video generation works
The system uses a character reference and text instructions to generate a short moving sequence. It may animate a still image or create motion from a model trained on video patterns. The exact technical method can change as the product develops.
More motion creates more opportunities for visual errors. Faces, hands, clothing and backgrounds can shift between frames.
Evaluating ordinary output quality
Check facial stability, natural motion, camera movement, background consistency and whether the prompt is followed. Pay attention to the beginning and end of the clip, where transitions can be less stable.
Marketing examples are selected from successful generations. Test several normal prompts to understand the typical result.
Length, resolution and waiting time
Generated clips may be short and have fixed resolution or aspect ratio. Longer or higher-resolution video requires more computation and may not be available on every plan.
Waiting time can vary with server demand. A queue does not necessarily indicate a problem, but repeated failures should be considered when evaluating value.
Tokens and retry costs
Video often consumes more tokens than images or voice. Confirm the current price per generation, included allowance and whether failed attempts are refunded.
Use specific prompts and a fixed budget. Random retries can exhaust an allowance quickly without improving the output.
Privacy and downloads
Video prompts and outputs may be processed or retained according to current policies. Avoid private real-person material and do not upload identifying content without permission.
Check download options, watermarks, file format and usage rights before publishing or editing generated clips elsewhere.
Responsible use
Use fictional adult characters and follow content rules. Do not create deceptive media involving real individuals, content resembling minors or material that violates consent, law or platform policy.
Clearly label generated video where viewers could mistake it for a real recording.
Frequently asked questions
Public product and checkout materials describe video-related generation. Availability and limits may depend on the current plan.
Video models must maintain a character across many frames, which can cause changes in face, motion or background.
They often require more computation, but the current token schedule should be checked directly.