Sora 2 Image to Video API Pricing
Sora 2’s I2V lets you bring still images to life by animating them into short video clips with natural motion, audio, and visual effects. While realistic portraits of people aren’t allowed at launch, you can use objects, landscapes, stylized characters or scenes. Use detailed prompts for camera movement, atmosphere, and pacing to get the best results.
About Sora 2 Image to Video
[Sora 2](/playground/openai-sora-2-pro-text-to-video)’s I2V is a state-of-the-art image-to-video model that transforms still images into dynamic, engaging video clips. Leveraging advanced neural network architectures and sophisticated motion synthesis technology, Sora 2 creates natural camera movements, atmospheric effects, and synchronized audio that bring each scene to life. This model is optimized to handle a variety of visual content, from landscapes and stylized characters to animated objects. Built with precision and creativity in mind, Sora 2’s I2V stands apart by allowing users to dictate camera angles, pacing, and ambiance through detailed prompts. While realistic portraits of people are not supported at launch, the model excels in generating vivid, cinematic sequences from carefully composed images. The result is a tool that unifies technical prowess with creative flexibility, ideal for digital storytelling, advertising, and artistic projects.
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$15000.00
$1.5 per generation$20000.00
$2.0 per generationDetailed Pricing Breakdown
| Provider | Estimated Rate | Notes |
|---|---|---|
| muapiapp | $1.5 per generation | muapiapp offers this service at $1.5 per generation, making it 20-50% more affordable than competing providers while delivering comparable or superior quality. |
| Fal.ai | $2.0 per generation | Fal.ai charges $2.0 per generation. muapiapp is 20-50% cheaper, providing a cost-effective solution without compromising performance. |
| Replicate | $2.0 per generation | Replicate also offers similar pricing at $2.0 per generation. Choosing muapiapp means you benefit from a 20-50% cost advantage while receiving high-quality output. |
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