How image and video generation works
A factual explanation of xeve.ai generation modes, inputs, credits, and how image and video outputs differ.
Overview
On xeve.ai, image and video generation are separate creation flows inside the product. They let the user generate new media instead of only chatting with a character or staying in a live session.
Inputs and modes
The Generate page supports both image and video output. Depending on the selected mode, the user can work from text, structured choices, or a reference image.
- Video generation can be guided by text or by a selected image.
- Image generation can be guided by structured visual choices or by a selected image.
- The form also lets the user control appearance, clothing, scene, camera, mood, and other output details.
Reference images and prompts
Xeve.ai uses reference images to anchor the look of a character or scene. A user can start from an existing character image, a public image-based character, or another supported reference image source that the page exposes.
When the user does not rely only on a reference image, the generator can also take structured selections such as hairstyle, eye color, clothing, location, camera movement, action, and overall style. This lets the generation flow behave more like a guided builder than a single freeform prompt box.
Image output vs video output
Image generation and video generation use different output rules. Image generation is the simpler media request. Video generation adds duration and motion, so it usually needs more credits and more processing than a still image.
The app itself reflects this difference by calculating credits from separate image and video costs. Longer video duration increases the required credits further.
Credits and access
Media generation is primarily a credits-based flow. The Generate page shows the user how many credits are available and how many are required for the requested output.
In the current product flow, image generation and video generation both consume credits unless a temporary free entry condition applies, such as the app offering a first free image. When the user does not have enough credits, xeve.ai sends that user toward the credits checkout flow.
Where generation fits in the platform
- Read What is xeve.ai? for the platform-level overview.
- Read Pricing: memberships vs credits for the payment model behind generation.
- Open Generate Video for the actual product flow.
- Read custom character creation if you want a custom companion identity before generating media around it.