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const main = async () => {
const response = await fetch('https://api.ai.cc/v2/video/generations', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'google/veo-3.1-first-last-image-to-video',
prompt: 'A woman looks into the camera, breathes in, then exclaims energetically, "Hello world!"',
image_url: 'https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg',
last_image_url: 'https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main()
import requests
def main():
url = "https://api.ai.cc/v2/video/generations"
payload = {
"model": "google/veo-3.1-first-last-image-to-video",
"prompt": "A woman looks into the camera, breathes in, then exclaims energetically, 'Hello world!'",
"image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
"last_image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg",
}
headers = {"Authorization": "Bearer ", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print("Generation:", response.json())
if __name__ == "__main__":
main()
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Product Detail
Overview of Google Veo 3.1 AI Video Generation
Veo 3.1 is Google's cutting-edge AI-powered video generation model, designed to create remarkably seamless video transitions. Users can provide a starting image and an ending image, and Veo 3.1 intelligently generates a smooth, coherent video connecting these two points. This powerful capability makes it ideal for innovative video editing and simulating dynamic time-lapse effects.
✨ Key Features of Veo 3.1
- ➡️ First-Last Frame Control: Precisely define initial and final frames to generate fluid transition videos.
- 🎤 Native Audio Generation: Simultaneously produces synchronized soundtracks, including accurate character dialogues with lip-sync and ambient environmental sounds.
- 🔄 Advanced Video Extension: Extend existing video clips by generating up to 8 seconds of follow-up footage that logically continues the scene. Can iteratively produce videos up to or beyond 1 minute.
⚙️ Technical Specifications
- 📥 Input: Two images (start and end frames) or the last ~1 second of video for extension.
- 📤 Output: Seamless video clips with precisely synchronized audio.
- 📏 Max Continuation Length: Up to 1 minute or more through iterative extension processes.
- 🔊 Audio Capabilities: Comprehensive voice synthesis with lip-sync and rich environmental sounds.
- 🧠 Model Architecture: Proprietary multi-modal neural network, optimized for co-generating video and audio (specific architecture details are not publicly disclosed).
📊 Performance Benchmarks
- ✅ Transition Quality: High frame-to-frame consistency with superior smooth motion interpolation.
- ✅ Audio-Video Sync: Verifiably accurate lip-sync and precise sound timing in diverse test scenes.
- ✅ Continuation Realism: Maintains exceptional content coherence and stylistic continuity across extended video segments.
- ✅ Processing Time: Efficient generation, suitable for near real-time workflows on high-end GPUs.
🚀 Diverse Use Cases for Veo 3.1
- 🎬 Creative video editing with artistic and complex transitions.
- ⏳ Simulated time-lapse sequences generated from static images.
- 🗣️ Automated dialogue scene generation for animation or advanced storytelling.
- 📈 Video clip extensions to effortlessly enhance storytelling length without needing reshoots.
💰 API Pricing
- 💲 $0.21 / sec (audio off)
- 💲 $0.42 / sec (audio on)
💻 Code Sample
For detailed API integration and code samples, please refer to the official documentation:
🆚 Veo 3.1: Comparison with Other Leading Models
vs DAIN: Veo 3.1 offers comprehensive native synchronized audio and full video extension capabilities. In contrast, DAIN primarily focuses on visual depth-aware frame interpolation without integrated audio or extension features. Veo 3.1 significantly excels in delivering storytelling continuity and enhanced audio-visual realism.
vs Google Imagen Video: Imagen Video primarily generates video from textual descriptions, focusing on creating scenes from scratch. Veo 3.1, however, emphasizes precise frame-to-frame interpolation and video continuation with integrated audio, allowing for granular control over starting and ending frames.
vs Runway Gen-2: Runway Gen-2 targets broader text-to-video generation with a variety of concepts. Veo 3.1 specializes in specific frame-driven video transitions and extends clips with lip-synced audio, providing stronger cinematic continuity for narrative-driven content.
vs Sora 2: Sora 2 is known for ultra-realistic physics and momentary visual realism, often focusing on shorter scenes and demanding higher computational resources. Veo 3.1 prioritizes extended story flow and scene coherence with synchronized audio, making it ideal for advertisements, short films, and educational videos.
❓ Frequently Asked Questions (FAQ)
Q: What is Veo 3.1 First Last Frame to Video AI model?
A: Veo 3.1 is an advanced AI model that generates high-quality video sequences by intelligently interpolating between a starting and an ending frame, creating sophisticated, smooth motion and natural transitions with superior visual and audio quality.
Q: What are the primary use cases for Veo 3.1?
A: This model is ideal for creative video editing, simulated time-lapse sequences, automated dialogue scene generation, and extending existing video clips to enhance storytelling length.
Q: Does Veo 3.1 include audio capabilities?
A: Yes, Veo 3.1 features native audio generation, producing synchronized soundtracks, including accurate character dialogues with lip-sync and ambient environmental sounds.
Q: How long can videos generated by Veo 3.1 be?
A: Veo 3.1 can generate continuous video clips up to 8 seconds, and through iterative extension, it can produce videos that are 1 minute or longer.
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