This is not just a feature list — it’s a practical guide to working with video, from short social media clips to longer, consistent sequences and fully animated talking characters.
Zencreator.pro currently offers three core video generation tools:
Image-to-Video
Video-to-Video
LipSync
Each tool is designed for a specific set of tasks and creative scenarios.
Image-to-Video: Turning an Image into a Video Clip
Core Logic of the Tool
Image-to-Video allows you to:
take a single image,
add a prompt describing motion, actions, or the scene,
optionally add audio,
and generate a video clip of a chosen duration.
This is the main tool for creating video from scratch when you only have a still image of a character.
Image-to-Video Models and Their Differences
Inside Image-to-Video, several models are available, each optimized for different use cases.
Kling (Versions 1.6 / 2.1 / 2.5)
Kling is a well-known model with clear strengths and limitations.
Strengths:
excellent prompt understanding;
strong sense of real-world logic;
natural motion generation;
visually stable and predictable results.
Limitation:
the model is censored;
suitable only for safe-for-work content.
Because of this, Kling is commonly used for:
Instagram and public social platforms,
advertising content,
presentations and brand visuals.
Notably, Kling 2.1+ supports Start Frame and End Frame, making it suitable for stitching longer videos together.
Start Frame / End Frame: Creating Longer Videos
Most video models are limited in duration (usually up to ~10 seconds).
To generate consistent videos longer than that, ZenCreator uses the Start Frame / End Frame approach.
How it works:
the first clip is generated between image 1 and image 2;
the second clip is generated between image 2 and image 3;
the middle image acts as both the ending of the first clip and the beginning of the next.
As a result:
a two-segment video requires three images;
longer sequences require more intermediate frames.
This method:
avoids abrupt transitions;
creates the impression of a single continuous video.
Seedance Pro and Seedance Pro Fast
Seedance models are known for:
strong prompt adherence;
animation quality comparable to Kling;
no censorship.
Seedance Pro Fast
ideal for testing ideas;
very low cost;
perfect for rapid iteration.
Example:
A 5-second video in 480p costs 2 credits, only about twice the cost of a single image.
Seedance Pro
used for final production;
supports higher resolutions (up to 1080p);
works well with Start / End Frame.
Recommended workflow:
test concepts using Seedance Pro Fast;
generate final versions with Seedance Pro.
WAN Plus Audio (WAN 2.5 with Audio)
This model stands out because it can work with audio.
It allows the character to:
speak,
make sounds,
react vocally.
Key characteristics:
you cannot choose a specific voice;
but you can specify what the character says;
speech is generated automatically (in English).
You can:
upload an audio file,
or simply write the spoken text in the prompt.
Additional features:
uncensored output;
background sounds;
more expressive and emotional clips.
WAN: Uncensored with Future LoRA Support
WAN is a separate model focused on:
full lack of censorship;
Start / End Frame support.
At first glance:
WAN follows prompts less precisely than Kling or Seedance.
However:
WAN supports LoRA;
full LoRA functionality is planned in upcoming updates.
This will enable:
complex intimate video generation;
without manually creating multiple start frames.
Template Library: Speeding Up Production
Image-to-Video includes a template library, featuring:
safe-for-work templates;
18+ templates (enabled via a separate toggle).
Important notes:
templates vary in complexity;
many contain highly detailed prompts.
Best practice:
always read the prompt before using a template;
adapt it to your model and scene.
The Try Template button:
automatically applies the image, model, and settings;
helps you quickly understand how a model behaves;
provides a strong starting point for your own experiments.
AI University: Learning and Advanced Use Cases
Zencreator.pro also includes AI University, accessible directly from the platform.
It contains:
tutorials and walkthroughs;
practical video guides;
regularly updated content.
Topics include:
complex poses;
provocative and advanced scenes;
clothing and undressing logic;
comparisons between models and workflows.
This section is especially valuable for skill growth.
Video-to-Video: Animation and Character Replacement
Two Working Modes
Video-to-Video operates in two distinct modes:
Animate
you provide a character image;
you provide a video reference;
the character adopts the motion from the video.
Best used when:
motion is hard to describe in text;
precise gestures and timing matter.
Replace
the environment from the original video is preserved;
the character is inserted into the scene;
motion and context come from the source video.
This allows you to place a new character into an existing clip while maintaining realistic movement and interaction.
LipSync: Bringing Characters to Life with Speech
LipSync is designed to create talking characters.
Key features:
fully uncensored;
high-quality lip synchronization;
support for complex prompt instructions.
You can describe:
actions before, during, and after speech;
body movement;
background events.
To use LipSync, you need:
a character image;
an audio file.
Audio can be:
selected from templates;
generated or recorded using external services (e.g. ElevenLabs).
Planned updates include:
built-in audio generation;
voice selection directly inside the interface.
Summary: How to Use Video Generation in Zencreator.pro
The entire video system revolves around three tools:
Image-to-Video
For generating video from an image and a prompt.
Video-to-Video
For animating characters using video references or replacing characters in existing scenes.
LipSync
For creating expressive, speaking characters with synchronized speech and actions.
By choosing the right model, leveraging templates, and using Start / End Frame correctly, you can build a scalable video pipeline — from short clips to complex, multi-scene videos with motion and dialogue.
This is the natural continuation of image generation and the next step toward fully dynamic video content.