Character Ai Ovi Image To Video

Character Ai Ovi Image To Video

Playground

Ovi is a veo-3 like, video+audio generation model that simultaneously generates both video and audio content from text or text+image inputs.

Features

Ovi (I2V Version)

Ovi is a veo-3 like, image-to-audio-video (I2AV) generation model that creates synchronized video and audio from a single image plus a descriptive text prompt.

It is designed for short-form storytelling, where a still image is brought to life with cinematic motion, dialogue, and sound.

🌟 Key Features

• 🎬 Image → Video+Audio – Bring a static image to life with synchronized audiovisual output.
• 📝 Prompt-driven – Use text prompts to control scene dynamics, style, and audio.
• 🗣️ Speech & Sound – Insert dialogue or sound effects using special tags.
• ⏱️ Short-form Output – Generates 5-second clips at 24 FPS.

💲 Pricing

Billing Rules

• Minimum charge: 5 seconds

🎨 How to Use

1. Upload Image

   • Provide a reference image as the base frame.
   • Make sure the URL is valid and accessible (a preview should appear).

2. Enter Prompt

   • Describe scene motion, style, and atmosphere.

   • Use tags for sound:

     • <S> ... <E> → Speech (converted into spoken audio)
     • <AUDCAP> ... <ENDAUDCAP> → Background audio / effects

3. Set Seed

   • -1 = random output
   • Any fixed number = reproducible results

4. Run

   • Click Run $0.15 to generate your 5s image-to-audio-video clip.
   • Preview and download the result.

📝 Prompt Example

A wide shot of a medieval knight standing in the rain, sword planted into the ground, glowing with mystical energy.  
<S>I will defend this land until my last breath.<E>  
<AUDCAP>Thunder rolls across the dark sky, distant war drums echo.<ENDAUDCAP>

🙏 Acknowledgements

• Wan2.2 – Video backbone initialization
• MMAudio – Audio encoder/decoder inspiration

⭐ Citation

If Ovi is useful, please ⭐ the repo and cite the paper:

@misc{low2025ovitwinbackbonecrossmodal,
      title={Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation}, 
      author={Chetwin Low and Weimin Wang and Calder Katyal},
      year={2025},
      eprint={2510.01284},
      archivePrefix={arXiv},
      primaryClass={cs.MM},
      url={https://arxiv.org/abs/2510.01284}, 
}

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/character-ai/ovi/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"