How to make motion graphics videos with AI in OpenArt

AI video tools have reached a point where you can create clean, professional motion graphics without ever opening After Effects. With the right workflow, you can design title cards, animated interfaces, and reusable subscribe/follow overlays using just a browser and a few well-structured prompts.

Why use AI for motion graphics?

Traditional motion graphics tools like After Effects are powerful but come with a steep learning curve and time‑consuming timelines. AI video models work differently: instead of keyframing every element, you describe what you want, provide a few key frames, and let the model generate the in‑between animation.

The key is to guide the AI carefully. Video models don’t “move” layers like a timeline editor. They redraw every frame from scratch, which means text and UI elements can warp or drift if you don’t anchor them with solid start and end frames. The workflow below solves that problem.

Tools and models used in this workflow

This guide uses OpenArt, a platform that brings multiple AI models together in a single interface. Two main types of models are involved:

Image generation models (for designing frames):

• Nano Banana Pro: Great for clean, simple graphics like basic title cards.
• GPT Image 2: Better for complex interfaces, UI layouts, and small, readable text (buttons, prices, labels).

Video generation model (for animating frames):

• C-Dance 2.0: Used in OpenArt’s video workspace to turn static frames into smooth animations, with optional sound design.

Core concept: start and end frames (and why they matter)

AI video models don’t behave like After Effects. They don’t just move your layers around; they regenerate every frame. If you only give the model one image and ask it to “animate the text,” it has to invent the entire motion and redraw everything each frame. That often leads to:

• Text warping or changing shape
• Elements drifting out of place
• Inconsistent fonts or layouts

To avoid this, you anchor the animation with:

• A start frame: how the scene begins
• An end frame: how the scene should look when it finishes
• Optional middle frames: key steps the AI must pass through

The video model then focuses on filling in the motion between these frames instead of inventing everything from scratch. This is the foundation of every example below.

Step 1: Create a simple animated title card

Start with the most basic motion graphic: an animated title card.

Design the frames

1. Open the image workspace in OpenArt and select Nano Banana Pro as the model.
2. Set the aspect ratio to 16:9 and resolution to 4K. Turn off any “auto polish” that might rewrite your prompt.
3. Generate a blank background (for example, an off‑white canvas). This is your start frame.
4. Upload that blank canvas as a reference and prompt the model to add your title text and any simple design elements (like a blue stripe underneath the text). This is your end frame.

Animate with C-Dance 2.0

1. Go to the video workspace and choose frame to video.
2. Select C-Dance 2.0 as the model.
3. Load the blank canvas as the start frame and the text image as the end frame.
4. Set duration to around 4 seconds and resolution to 1080p. Leave audio off if you don’t need sound.
5. Add a short prompt describing the motion (for example, smooth text reveal with a sliding blue underline) and generate.

The result is a clean, simple title animation where the text and stripe animate in smoothly without warping.

Step 2: Build an advanced title card with multiple frames

Once you’re comfortable with two-frame animations, you can step things up with an advanced title card that has more depth and motion.

Create three key images

1. In the image workspace with Nano Banana Pro, generate a pitch-black canvas. This will be your start frame.
2. Upload that black canvas as a reference and prompt the model to add a large number “1” in the center with ambient glow and a 3D motion-graphic feel. This is your middle frame.
3. Upload that second frame and prompt the model to add headline text beside the number and adjust the layout slightly. This becomes your end frame.

Animate using start, middle, and end

1. In the video workspace, choose text to video with C-Dance 2.0.
2. Set the black canvas as the start frame and the final number+headline image as the end frame.
3. Add the glowing number image as a reference frame in the middle.
4. Set duration to around 6 seconds, resolution to 1080p, and leave audio off if you don’t need it.
5. Use a prompt that explains the transition (for example, number emerging from darkness, glow intensifying, then text sliding in).

Because the AI has three visual anchors, it can create a fluid, cinematic transition that feels intentional and polished.

Step 3: Animate a clickable interface with AI

Next, move from text-only graphics to a proper UI animation that shows a product card being clicked and confirmed.

Design the interface frames

Switch to GPT Image 2 for better UI and text quality:

1. Generate a simple off-white blank canvas (start frame).
2. Prompt GPT Image 2 to create a product card on that background. Think of three layers: the background, the main interface card, and a product image inside it.
3. Upload the product card image and prompt the model to fill in details: product name, description, price, and a clear “Buy” button.
4. For the final frame, use the blank canvas as reference and generate a confirmation screen (for example, “Order confirmed” with a simple icon).

Animate the UI flow

1. In the video workspace, select text to video with C-Dance 2.0.
2. Set the blank canvas as the start frame and the confirmation screen as the end frame.
3. Add the product card and the detailed product card as reference images so the AI knows the intermediate states.
4. Set duration to around 8 seconds and resolution to 1080p.
5. First, generate without audio to check the motion. Then, if you’re happy, toggle audio on and upgrade your prompt to describe sound design (for example, subtle UI whooshes, click sounds when the button is pressed).

The result is a smooth UI animation where a cursor moves, clicks the right button, and the interface responds with accurate visuals and matching sound effects.

Step 4: Create a multi-step interface animation

Short interactions are useful, but many product demos or explainer videos need longer flows. Here’s how to build a multi-step, 15-second motion graphic using six frames.

Plan the six steps

Using GPT Image 2 again:

1. Generate a base search interface (start frame).
2. Upload it and generate a version where the sort menu is open.
3. Generate another frame showing a filter being selected.
4. Create a frame where a product appears with an order button after the filter is applied.
5. Generate a frame showing the order button pressed or highlighted.
6. Finally, create an order confirmation screen (end frame).

Animate the full flow

1. In the video workspace, choose text to video with C-Dance 2.0.
2. Use the search page as the start frame and the confirmation screen as the end frame.
3. Add the four intermediate images as reference frames so the AI understands each step in the sequence.
4. Set duration to around 15 seconds, resolution to 1080p, and turn audio on.
5. In your prompt, describe the full interaction: cursor typing, opening sort menu, selecting a filter, product appearing, clicking order, and final confirmation.

The AI stitches all of this into one continuous, fluid animation with matching sound effects: typing sounds, menu clicks, and a confirmation tone. Instead of manually editing a dozen short clips, you get one cohesive video.

If you’re interested in more complex AI video workflows, this same approach pairs nicely with techniques from guides like how to start making cinematic AI videos or how to make viral explainer videos with free AI tools.

Step 5: Design reusable subscribe and follow animations

Once you understand the basics, you can create branded motion graphics you’ll reuse across your content—like subscribe and follow overlays in dark mode.

Dark mode subscribe animation

1. In the image workspace, select GPT Image 2 and set quality to high.
2. Generate a dark background that fits your brand style.
3. Upload that background along with a real photo of yourself and prompt the model to create a subscribe card (YouTube-style button, channel name, etc.).
4. Upload that subscribe card image again and prompt the model to show the state after subscribing (button changed to “Subscribed”, bell icon active, etc.).

Then animate:

1. In the video workspace with C-Dance 2.0, set the blank dark background as the start frame and the “subscribed” version as the end frame.
2. Add the middle subscribe card frame as a reference, along with your photo again to keep your face consistent.
3. Set duration to about 8 seconds, resolution to 4K, and turn audio on.
4. Use a prompt that describes the gesture (cursor hovering, clicking subscribe, subtle UI pop, confirmation sound).

You’ll get a polished, ready-to-use subscribe animation with smooth motion and sound effects.

Dark mode follow animation

You can repeat the same process for an Instagram-style follow card:

1. Generate a dark background in GPT Image 2.
2. Upload it with your photo and prompt a follow card (profile picture, handle, follow button, follower count, etc.).
3. Generate a second version showing the followed state (button changed to “Following”).

Then animate with C-Dance 2.0:

1. Use the blank background as the start frame and the “following” card as the end frame.
2. Add the original follow card and your photo as references.
3. Enable audio and describe the motion and sound (card sliding in, head popping up, button click, subtle UI sounds).

Because the model slightly animates your face and hair, the result feels more alive and engaging, perfect for social content.

Tips for better AI motion graphics

• Use more key frames for complex scenes: The more steps you break a sequence into, the easier it is for the AI to follow your intent.
• Keep text layouts consistent: When generating frames with text, try not to radically change fonts or alignment between frames so the video model can maintain legibility.
• Be specific in prompts: Describe both visuals and motion (e.g., “smooth slide from left,” “subtle glow pulse,” “cursor moves slowly then clicks”).
• Leverage audio prompts: When audio is enabled, describe the soundscape—typing, clicks, whooshes, confirmation tones—to get more immersive results.

From simple titles to full flows—without After Effects

By combining image generation for key frames with video generation for motion, you can go from a basic title card to a complex multi-step interface animation entirely inside OpenArt. The pattern stays the same:

• Lock in start and end frames so the AI knows where to begin and finish.
• Add middle frames for each important step.
• Let the video model fill in the motion and sound between them.

With this workflow, you can quickly produce polished motion graphics for intros, product demos, UI walkthroughs, and social overlays—no traditional motion design software required.