AI avatars are no longer just a cool trend — they’re quickly becoming one of the most creative ways to produce engaging, professional-looking content without ever stepping in front of a camera. Whether you’re a YouTuber, digital creator, or just someone curious about what’s possible with AI, this guide will show you how to bring your avatar to life in everyday scenes — like driving a car, sitting in a café, shopping in a supermarket, or riding a bicycle.
In this step-by-step tutorial, we’ll walk through how to create realistic AI avatar videos that move, speak, and blend naturally into custom environments — all without using complex software. And yes, you can do this even if you’ve never edited a video before.
We’ll be using a combination of Fotor, Leonardo AI, PixVerse, Kling, and ElevenLabs — each tool playing a key role in generating visuals, animating characters, and syncing voiceovers.
By the end of this guide, you’ll know how to:
You can watch the below video for full tutorial. Let’s get started.
Before we can bring our AI avatar to life, we need to prepare the background scenes where the avatar will be placed. These are static images that will act as the setting for each video — for example, a supermarket aisle, a coffee shop, or a street view for the bicycle ride.
In this guide, we’re creating 4 real-life scenarios:
You can use any image you like, but to generate original, high-quality visuals tailored to your prompts, we’ll use Fotor’s AI image generator.
Once all your background images are ready, you’ll move on to placing your avatar into those settings using Fotor’s Reference to Video feature.
Now that your background images are ready, it’s time to bring your avatar into those environments and generate short animated clips. For this, we’ll use one of Fotor’s most powerful tools — the Reference to Video feature.
This feature allows you to upload a background image and a character image, and then animate them together using a custom prompt. It works surprisingly well for generating short, realistic video clips from just static images.
“Man riding a bike slowly towards the camera while talking and looking straight into the camera.”
After a few seconds, your animated clip will be ready.
Play the generated clip and see how the avatar blends into the scene. In most cases, you’ll get a smooth, natural movement with the character riding toward the camera.
✅ Pro Tip:
By default, videos generated using Fotor’s AI video tools are only 4 seconds long, which may not be enough if you’re trying to build longer content or just want smoother pacing. Fortunately, there’s a simple workaround to extend your avatar animation — and it doesn’t require advanced editing.
In this step, we’ll use a combination of Leonardo AI for upscaling and Fotor’s Image to Video tool to turn a still frame into an extended video loop.
💡 You can also use Fotor’s built-in upscaler if you don’t want to switch platforms, but Leonardo generally gives sharper results.
- Go back to Fotor and open the “AI Video Generator” again.
- This time, choose “Image to Video” from the left menu.
- Upload the upscaled image.
- Adjust the settings:
- Resolution: 720p
- Duration: Set to 8 seconds
- Style: Choose cinematic or realistic, depending on your scene
- Click Generate
Once generated, your new video will be longer, smoother, and loop more naturally. It’ll also look much cleaner thanks to the upscaling, making it more suitable for professional content.
Repeat this exact process for all your other scenes — coffee shop, driving, and supermarket — to extend each video before adding voice and lip sync.
Once your avatar videos are ready, the next step is to give your character a voice — and for that, we’ll use ElevenLabs, one of the most advanced and realistic text-to-speech platforms available today.
With ElevenLabs, you can turn any script into a natural-sounding voiceover in just a few clicks. It supports multiple voices, emotions, and even custom voice cloning (paid plans).
With your audio files ready, it’s time to sync them with your videos to make your avatars actually speak. In the next step, we’ll use two different lip sync tools — Kling and PixVerse — and compare the results.
Now that you’ve generated both your avatar videos and realistic AI voiceovers, the final step is to make your avatar talk by syncing the audio with your visuals. For this, we’ll test out two powerful lip sync tools: Kling and PixVerse.
Both tools let you upload your video and audio and automatically generate a lip-synced version — no manual keyframing or editing required. In this tutorial, we’ll use Kling for one scene and PixVerse for another, so you can compare the results and decide which one works best for your content.
Kling is one of the newest AI video tools by ByteDance (the company behind TikTok), and it includes a simple lip sync option that’s surprisingly effective.
After a short wait, Kling will process the video and give you a lip-synced version of your avatar speaking.
Next, we’ll use PixVerse’s Lip Sync tool for a different scene — this time, the coffee shop video. PixVerse has its own AI syncing system that offers slightly different motion and facial handling.
You’ll get a new version of your avatar video with the voice properly aligned and the lips animated.
You can now repeat the same process for the remaining two scenes:
Just generate voiceovers for those clips in ElevenLabs, then use either Kling or PixVerse to add lip sync.
Now that you’ve generated your avatar clips, extended the animations, added voiceovers, and synced everything — it’s time to export your final video and start using it across your content platforms.
At this point, you should have four individual clips:
Here’s how to bring them all together:
You’ve just learned how to:
That’s a full AI-powered production workflow — no camera, no mic, no studio needed.
Coffee Shop : “Static shot of a man sitting in a coffee shop with a cup of coffee in front of him. Man is looking straight into the camera and talking with gentle hand movements.”
Driving Scene: “Man is driving the car looking straight into the camera while talking. He is holding the steering with both hands.”
Bicyle Scene: “Man riding a bike slowly towards the camera while talking and looking straight into the camera.”
Creating a moving AI avatar that blends naturally into real-world scenarios might sound complex — but as you’ve seen, it’s totally doable with the right tools and a clear step-by-step approach.
From riding a bike to sipping coffee, your avatar can now express personality, deliver voiceovers, and appear in everyday environments… all without you picking up a camera or doing any manual animation.
Whether you’re creating content for YouTube, short-form videos, client demos, or just experimenting with AI, this workflow gives you everything you need to produce high-quality, engaging avatar videos in minutes.
Now it’s your turn. Grab your avatar, pick a scene, and follow this guide — and don’t forget to drop a comment telling us which lip sync tool worked best for you!
Yes! As long as you’re using royalty-free or AI-generated assets and following the terms of use of each platform (like Fotor, Leonardo, etc.), you can use these videos for YouTube, TikTok, client work, and more.
Both are excellent, but it depends on your scene and voice. Kling works great for front-facing, clear dialogue, while PixVerse tends to add slightly more expressive movement. Try both and see which feels more natural to you.
Yes! Tools like ElevenLabs offer voice cloning (on paid plans) which lets you clone your voice using just a few minutes of recorded audio. You can then use that to generate voiceovers for your avatar videos.
Fotor’s reference-based videos are 4 seconds long by default. To extend them, you can use the screenshot + upscale + image-to-video method we covered in Step 3 to create 8+ second clips.
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