Turn Any Topic into Viral AI Videos Using Google’s VEO3 model

I've been hearing a lot about these new AI video models that look incredibly realistic lately. People are actually creating entire TikTok channels based on them, and they look surprisingly good! I never really tried them myself, so I wanted to check them out. I decided to start with Google's VEO3 model that everyone seems to be talking about.

Instead of manually creating prompts and videos one by one, I developed an AI automation that will take any topic you have and turn it into banger videos. This way, I could quickly test the model's capabilities and see if it lives up to the hype.

By the end of this tutorial, you'll learn how to:

• Access and use Google’s VEO3 model
• Craft optimized prompts for Google VEO3
• Turn a simple topic into high-quality AI videos!

Let's get started! 🚀

🔥 Get Code from Github now!

🤖 What is Google VEO3?

VEO3 is Google's latest text-to-video AI model that's been creating waves across the internet. Released just a few weeks ago, it represents a giant leap forward in AI-generated video quality. The videos it produces look shockingly realistic—to the point where they're often indistinguishable from actual footage at first glance.

What makes VEO3 special compared to earlier models?

• Realistic human characters with natural expressions, movements, and speech patterns
• Consistent environments that maintain physical properties throughout the video
• Proper lighting and physics that create a believable scene
• High-resolution output with smooth motion and transitions

The current limitation is that videos are limited to 8 seconds in length, but even within that constraint, the results are impressive. You've probably seen some VEO3-generated videos on social media already — those viral clips feature crazy realistic characters like the Yeti vlogger look almost too good to be AI-generated.

Don’t take my word for it — check it out yourself: 👉 @yetivloglife on TikTok

YEP!, that’s an AI-generated Yeti running a vlog, with over 356K followers and videos reaching 16 million+ views.

⚙️ How It Works?

1️⃣ Generate Video Ideas

The first step in our automation pipeline is to generate creative video ideas from a simple topic input.
Instead of manually brainstorming concepts, I created an AI agent that handles this heavy lifting.

It takes a topic (like "Alien food critic reviewing Earth cuisine") and transforms it into structured, creative video concepts, complete with a catchy caption and environmental context.

GENERATE_IDEAS_PROMPT = """ You are an AI designed to generate 1 immersive, realistic idea based on a user-provided topic. Your output must be formatted as a JSON array (single line) and follow all the rules below exactly. ## RULES: - Only return 1 idea at a time. - The user will provide a key topic (e.g. "urban farming," "arctic survival," "street food in Vietnam"). ### The Idea must: - Be under 13 words. - Describe an interesting and viral-worthy moment, action, or event related to the provided topic. - Can be as surreal as you can get, doesn't have to be real-world! - Involves a character.  ... """ async def generate_video_ideas(topic: str, count: int = 1): print(f"Generating ideas for topic: '{topic}'...") user_message = f"Generate {count} creative video ideas about: {topic}" # Use the AI invocation function with structured output  result = await ainvoke_llm( model="gpt-4.1-mini", system_prompt=GENERATE_IDEAS_PROMPT, user_message=user_message, response_format=IdeasList, temperature=0.7 ) return result.ideas 

The LLM returns these ideas in a structured format using Pydantic models, which makes it easy to process the results

For example, when I input the topic "Alien food critic reviewing Earth cuisine" it might generate an idea like:

Idea: "Tentacled alien grimaces tasting hot sauce for first time" Environment: "Retro diner, neon lights, zoomed close-up, documentary style" Caption: "Alien reviewer tries Earth's spiciest sauce! 👽 #alien #foodcritic #spicyfood #tastetest" 

This approach gives us a continuous stream of fresh, creative ideas that would be perfect for viral short-form videos.

2️⃣ Generate VEO3 Video Prompt

Once we have a creative idea, we need to transform it into a specialized prompt that works well with VEO3. This isn't as simple as passing the raw idea to the model — VEO3 performs best with highly detailed, structured prompts that follow certain patterns.

That's why I created another AI agent specifically designed to craft optimized VEO3 prompts:

async def generate_veo3_video_prompt(idea: str, environment: str): user_message = f""" Create a V3 prompt for this idea: {idea} Environment context: {environment} """ # Use the AI invocation function  result = await ainvoke_llm( model="gpt-4.1-mini", system_prompt=GENERATE_VIDEO_SCRIPT_PROMPT, user_message=user_message, temperature=0.7 ) return result 

The GENERATE_VIDEO_SCRIPT_PROMPT contains detailed instructions for creating cinematic, hyper-realistic video prompts. Here's a snippet of what it tells the AI:

## REQUIRED STRUCTURE (FILL IN THE BRACKETS BELOW): [Scene paragraph prompt here] - **Main character:** [description of character] - **They say:** [insert one line of dialogue, fits the scene and mood]. - **They** [describe a physical action or subtle camera movement, e.g. pans the camera, shifts position, glances around]. - **Time of Day:** [day / night / dusk / etc.] - **Lens:** [describe lens] - **Audio:** (implied) [ambient sounds, e.g. lion growls, wind, distant traffic, birdsong] - **Background:** [brief restatement of what is visible behind them] 

The prompt engineering is quite specific and follows patterns that work well with VEO3. For example, it instructs the AI to create selfie-style framing, include just one character (never named), specify a single line of dialogue, and describe physical actions and camera movements.

3️⃣ Video Generation with Kie AI

For the actual video generation, there are multiple providers out there, but in this tutorial, I'm using Kie AI, which offers pay-as-you-go access to the VEO3 model at very reasonable prices. This is perfect for testing without committing to Google's expensive subscription.

The Kie AI API generates videos in a three-step process:

• 📤 Submit a request including the AI model and video prompt
• ⏳ Wait for the video to be generated (which can take several minutes)
• 🔗 Retrieve the result with the video URL

Their API docs makes it very easy to use:

def start_video_generation(prompt: str): try: # Prepare the payload for VEO3  payload_json = json.dumps({"prompt": prompt, "model": "veo3"}) # Set up headers with API token  headers = { 'Content-Type': 'application/json', 'Accept': 'application/json', 'Authorization': f'Bearer {os.getenv("KIE_API_TOKEN")}' } # Make the API request  url = f"https://api.kie.ai/api/v1/veo/generate" response = requests.post(url, headers=headers, data=payload_json) # Extract task ID from the response  if response.status_code == 200: data = response.json() if "taskId" in data.get("data", {}): task_id = data["data"]["taskId"] print(f"Successfully submitted to Kie AI. Task ID: {task_id}") return task_id print(f"Error submitting to Kie AI: {response.text}") return None except Exception as e: print(f"Error submitting to Kie AI: {str(e)}") return None 

After submitting the request, we receive a request id and we need to wait for the video to be generated. VEO3 can take several minutes to render a video, so I created a wait function that periodically checks the status:

def wait_for_completion(task_id: str, timeout_minutes: int = 10): start_time = time.time() timeout_seconds = timeout_minutes * 60 while True: # Check if we've exceeded the timeout  elapsed = time.time() - start_time if elapsed > timeout_seconds: print(f"Timeout reached after {elapsed:.1f} seconds") return {"error": "Timeout reached", "status": "timeout"} # Get the current status  result = get_video_status(task_id) print(result) status = result.get("status", "").lower() # If completed or error, return the result  if status == "completed": print(f"Kie AI video generation completed successfully") return result elif status == "failed": print(f"Kie AI video generation failed: {result.get('error')}") return result # Wait before checking again (adjust as needed)  time.sleep(30) 

Finally, once the video is generated, the Kie AI API returns a direct URL to the generated video, which can be viewed in any browser or embedded in a website.

4️⃣ Save Generated Videos

To keep track of all the videos we generate, I used a simple Excel sheet. It includes the video ideas, captions, prompts, and of course, the video links.
This makes it easy to review everything later and share the videos with others.

Now that we've explained how everything works, I'm sure you want to test it out and generate your own crazy ideas 🤯!
But first, let's talk quickly about the cost 💰 of using the VEO3 model.

💰 Cost of Using VEO3

The VEO3 model is seriously impressive and delivers insane outputs, but all that magic usually comes with a hefty price tag 💸.

To use it directly with a Google account, you'd need to pay a steep $200/month subscription fee 😬.

Luckily, Kie AI is currently the best platform for using VEO3 — offering both access and affordability. They give you two model options:

• VEO3 Full Quality — $0.25/sec → about $2 for an 8-second video
• VEO3 Fast — just $0.05/sec → a crazy low $0.40 for 8 seconds 😍

We’ll be using the VEO3 Fast model — it’s perfect for testing, playing around, and unleashing creative ideas without breaking the bank.

The quality is slightly lower than the full model, but honestly, it still looks really damn good.

Hopefully, as the tech continues to evolve and competition ramps up, we’ll see even better pricing!

🚀 Try It Out

If you want to try this out for yourself, here's how to get started:

1- Clone the repository from 🌐 GitHub

2- Install the required dependencies:

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt 

3- Create a .env file and add your API keys:

First, create an account on Kie AI. Their platform currently offers the best pricing options for accessing the VEO3 model. Once registered, generate your API key from your Kie AI dashboard.

For AI models, I usually use OpenRouter to access various LLMs in one place — but you can use any other provider like OpenAI, Claude, or DeepSeek, since Langchain supports them all.

Now, create a .env file and add your API keys:

KIE_API_TOKEN=your_kie_ai_token_here OPENROUTER_API_KEY=your_openrouter_key_here # For LLM access 

4- Finally, update the main script with your topic of interest and set the number of videos you want to generate (start with 1 to test things out):

async def main(): # Change this to whatever topic you'd like to explore  topic = "Dog playing piano in a jazz club" # Your creative topic here  await run_workflow(topic, count=1) 

5- Run the script:

python main.py 

The script does all the work for you — it will:

• 💡 Generate video ideas automatically
• ✍️ Create VEO3 prompts based on those ideas
• 🚀 Submit prompts to Kie AI video generation
• ⏳ Wait for the videos to be generated
• 📁 Save everything — including video URLs — to an Excel file (videos.xlsx)
• 🔗 Click the URLs to view your videos in any web browser

So with just a single run, you’ll get a bunch of high-quality VEO3 videos ready to go — no back-and-forth, no wasted time.

▶️ Here’s an example I got for “meteorologist woman chasing tornado live on air” — generated entirely through the automation:
📽️ Watch the video

🔧 Improvements

I found this AI video generation field really fascinating and plan to continue exploring it. Here are some improvements I'm considering for future versions:

• Experimenting with different VEO3 model variants for optimal quality/cost balance
• Adding a way to directly upload the generated videos to YouTube or TikTok

And who knows — maybe I’ll even launch my own viral channel with some crazy, original concept like the Yeti vlogger, but with my own twist! 🔥😄

🌎 Use Cases

The output from VEO3 model is really impressive and will be huge for many applications:

• Content creation: Generate videos for social media, websites, and presentations
• Marketing materials: Create promotional videos and advertisements
• Educational content: Produce instructional and explanatory videos
• Prototyping: Rapid video concept development and testing
• Creative projects: Artistic and experimental video generation
• Business presentations: Professional video content for meetings and pitches

Thanks to platforms like Kie AI offering more affordable access, we're already seeing wider adoption. Early adopters who master these tools now will have a significant advantage as the technology continues to evolve.

🎯 Conclusion

Google’s VEO3 is a major leap in AI video generation 🎥. The videos it produces are incredibly realistic and open the door to a whole new level of creativity for content creators, marketers, educators, and beyond.

While it used to be pretty expensive for casual use 💸, platforms like Kie AI are making it way more accessible — especially with the VEO3 Fast model that delivers solid quality at a fraction of the cost.

The automation I shared makes it even easier to experiment with VEO3 — handling everything from idea generation to prompt writing to video creation in one streamlined workflow ⚙️.

Have you tried VEO3 or any other AI video tools?
💬 What kind of videos would you create with this tech? Let me know in the comments!

P.S. If you found this helpful, consider following me for more AI tutorials and experiments.