Input Controls
3.1 Uploading an Initial Image
You can upload an initial image to guide video creation.Purpose:
Animate a static image
Add motion effects
Provide visual context to the AI
The AI uses this image along with your prompt to create a dynamic sequence.
3.2 Uploading a Final Image (Model-Dependent)
Some models (such as Luma Labs, Kling 2, Quan V1) support uploading a final image.This allows:
Smooth animation from the first image to the last
Seamless transformation sequences
Cinematic transitions
If supported by the selected model, both initial and final images can be used to control narrative progression.
3.3 Writing the Prompt
You can enter a descriptive text prompt (maximum 3,000 characters).The prompt defines:
Scene
Action
Environment
Camera behavior
Lighting
Mood
Style
Well-structured prompts produce higher-quality outputs.
3.4 Magic Prompt (AI Enhancement)
The Magic Prompt feature automatically enhances your prompt.It:
Refines language
Adds cinematic detail
Optimizes prompt structure for the selected model
Generates improved scene descriptions
This is particularly useful for users seeking professional-level outputs without manual refinement.
3.5 Cinematic Keyword Controls
On the left panel, you can apply structured visual modifiers to guide generation.These are organized into categories:
Motion
Examples:
Static
Move left
Move right
These define camera or subject movement.
Lens
Examples:
Zoom lens
Infrared lens
Fisheye lens
These influence perspective and visual style.
Shot Size
Options such as:
Close-up shot
Medium shot
Long shot
These define framing and subject distance.
Lighting
Examples:
Studio lighting
Soft lighting
Cinematic lighting
Lighting impacts mood and realism.
Focus
Examples:
Soft focus
Bokeh
Deep focus
These adjust depth of field and sharpness.Using keyword controls reduces the need to overload the text prompt.
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