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const main = async () => {
const response = await fetch('https://api.ai.cc/v2/generate/video/google/generation', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'veo2/image-to-video',
image_url: 'https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg',
prompt: 'Mona Lisa puts on glasses with her hands.',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main()
import requests
def main():
url = "https://api.ai.cc/v2/generate/video/google/generation"
payload = {
"model": "veo2/image-to-video",
"prompt": "Mona Lisa puts on glasses with her hands.",
"image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.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
Unleashing Dynamic Visuals: Veo2 Image-to-Video AI Model
Dive into the future of content creation with the Veo2 Image-to-Video model, an advanced artificial intelligence solution designed to transform static images into captivating, high-quality video content. Building on the innovation of Google's Veo2 Text-to-Video API, this groundbreaking model offers unparalleled control and realism, empowering creators to bring their still images to life with dynamic motion.
Whether you're looking to animate historical photographs or create engaging marketing materials, Veo2 Image-to-Video provides a powerful platform for expanding your creative horizons.
✅ Key Features of Veo2 Image-to-Video
- Faithful Content Preservation: Ensures the essence and details of your source images are perfectly maintained in the generated video.
- Intuitive Motion Generation: Creates natural, physics-aware movements, making your videos incredibly realistic and engaging.
- High-Resolution Output: Generates stunning video content in resolutions up to 4K, perfect for professional applications.
- Multimodal Input Processing: Supports both image and text inputs, allowing for precise control over the animation and narrative.
💡 Versatile Applications
The Veo2 Image-to-Video model is engineered for a wide array of creative and commercial uses, including:
- Enhancing Photography: Add subtle or dramatic motion to still photographs, giving them a new dimension.
- Engaging Marketing Content: Create dynamic visuals for advertising, social media, and e-commerce product showcases.
- Bringing History to Life: Animate archival or historical photographs for educational content or documentaries.
- Expanding Digital Art: Unlock new creative possibilities for artists and designers working with digital media.
Language Support: While its core strength lies in visual processing, the model is designed to support multilingual text inputs, providing enhanced context and control over the video generation process.
Technical Deep Dive into Veo2 Image-to-Video
Architecture
Veo2 Image-to-Video likely employs a sophisticated hybrid architecture, combining cutting-edge AI methodologies to achieve its impressive results. This includes:
- Convolutional Neural Networks (CNNs): For robust image encoding and feature extraction from source images.
- Transformer-based Models: Essential for capturing complex temporal reasoning and sequential dependencies in video.
- Generative Adversarial Networks (GANs) or Diffusion Models: Powering the high-fidelity synthesis of dynamic video content.
This architecture builds upon the groundbreaking physics understanding and cinematographic capabilities established by its text-to-video predecessor.
Training Data & Ethical Considerations
The model's robust capabilities are a result of training on a massive and diverse dataset, predominantly derived from YouTube’s extensive video library, complemented by other proprietary sources. This ensures a rich variety in motion patterns, visual styles, and adherence to real-world physics.
Google is committed to responsible AI development. Measures have been implemented to ensure diversity in the training data, actively working to minimize biases in the generated content. Developers are encouraged to use Veo2 responsibly and ethically.
📸 Visual Examples & Performance Metrics
Observe the high-quality output and dynamic transformations achieved by Veo2 Image-to-Video:
Getting Started with Veo2 Image-to-Video API
API Access & Code Samples
The Veo2 Image-to-Video model is readily available on the AI/ML API platform. It's listed as "Veo2 Image-to-Video".
Example: Generating an Image-to-Video
const response = await aiClient.models.veo2.imageToVideo.generate({
prompt: "A serene lake with gentle ripples, sunlight glinting.",
imageUrl: "https://example.com/your-image.jpg",
aspectRatio: "16:9",
duration: 7
});
Key Parameters
-
prompt[str]: A detailed text description guiding how the input image should be animated. -
image_url[str]: The direct URL of the high-resolution (720p or higher) input image to be animated. -
aspect_ratio[auto, 9:16, 16:9]: Specifies the desired aspect ratio for the generated video output. -
duration[5, 6, 7, 8]: Sets the length of the generated video in seconds.
Example: Fetching the Generated Video
const videoResult = await aiClient.models.veo2.imageToVideo.fetchGeneration(generationId);
Comprehensive API Documentation
For in-depth details, advanced functionalities, and further integration guidance, please refer to the official API Documentation.
🚧 Ethical Use & Licensing
Google has meticulously integrated safety filters into Veo2 to prevent the generation of harmful, inappropriate, or biased content. We strongly encourage all developers to utilize this powerful model responsibly, adhering strictly to ethical guidelines for AI-generated media.
Currently, Veo2 is accessible through Google Labs’ VideoFX platform under a commercial license, facilitating its adoption for various professional applications.
Ready to transform your images into stunning videos? Get started today!
Access Veo2 Image-to-Video API Now❓ Frequently Asked Questions (FAQ)
A: Veo2 Image-to-Video is an advanced AI model developed by Google that converts static images into dynamic, high-quality video content, building upon the capabilities of the Veo2 text-to-video model.
A: It offers faithful content preservation, intuitive physics-aware motion generation, high-resolution 4K output, and supports multimodal (image + text) inputs for precise control, significantly enhancing visual storytelling.
A: Yes, the model accepts text prompts alongside your image URL, allowing you to describe the desired animation and movement for precise creative control.
A: Yes, Veo2 is currently available for commercial use through Google Labs’ VideoFX platform under a specific commercial license.
A: Google has integrated safety filters to prevent harmful content generation and encourages developers to use the model responsibly, aligning with established ethical guidelines for AI-generated media.
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