AI models are the creative engines behind AI generation in Async.
When you create content in the Video Editor, you can use different models to generate images, videos, avatars, music, and sound-based content. Each model has different strengths, so the best one depends on what you want to make.
What are AI models?
AI models are the systems that power different types of content creation.
Some models are designed for:
image generation
video generation
avatar creation
music and sound generation
upscaling existing content
Different models can vary in style, speed, quality, realism, and control.
Where do I find AI models in Async?
When you open the Video Editor, AI Chat opens automatically and gives you different ways to start creating. From there, you can type a prompt, upload a photo or video, or click Explore models to browse your options.
What can you create with AI models?
With Async’s AI models, you can create:
Images
Videos
Audio & voice
Avatars
Music and sound effects
Upscaled image and video content
How to use AI models
Open the Video Editor.
The AI Chat will open automatically.
Enter a prompt describing what you want to create, or upload a photo or video to work on.
If you’re not sure which model to use, click Explore models.
Choose the content type you want to create.
Select the model that best fits your goal.
Once you confirm everything, click Generate.
New AI models are being added constantly. Please click here for the full list.
Explore models
Different models are designed for different kinds of creative work. Some models are better for speed, some for realism, some for readable text, and some for keeping the same character or subject consistent across multiple assets.
A simple way to choose is to start with the type of content you want to create, then test a couple of models to see which result fits your project best.
💥Tips & Tricks💥
Start with the type of content you want to create first.
If you’re unsure, use Explore models to compare your options.
Start simple, then refine your prompt step by step.
Match the model to the task.
Try more than one model if you want to compare results.