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const main = async () => {
const response = await fetch('https://api.ai.cc/v2/generate/video/alibaba/generation', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'alibaba/wan2.2-i2v-plus',
prompt: 'Mona Lisa puts on glasses with her hands.',
image_url: 'https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main()
import requests
def main():
url = "https://api.ai.cc/v2/generate/video/alibaba/generation"
payload = {
"model": "alibaba/wan2.2-i2v-plus",
"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
Introducing Wan2.2 Image-to-Video, an advanced AI model designed to revolutionize visual and textual data interaction. It seamlessly supports multi-turn conversational sessions, enabling dynamic user engagement. This powerful tool facilitates function calling to orchestrate complex pipelines, including sophisticated video synthesis, precise image captioning, and intelligent reasoning over visual content. Wan2.2 is perfectly suited for high-level automation and demanding enterprise-level workflows.
Technical Specifications
🚀 Performance Benchmarks
Wan2.2 demonstrates exceptional proficiency in multi-modal tasks combining images and text. It is meticulously optimized for vision-language integration and advanced cross-modal reasoning, consistently achieving state-of-the-art accuracy on prominent VQA benchmarks and diverse image captioning tasks.
✨ Key Capabilities
- ✔ Vision Understanding: Superior interpretation of complex visual scenes and generation of descriptive, coherent text.
- ✔ Multi-modal Reasoning: Excels at cross-modal inference, combining image and text inputs for detailed analytical tasks.
- ✔ Content Generation: Supports high-quality image-conditioned text generation for reports, summaries, and creative assignments.
API Pricing
- 💰 480P: $0.105/video
- 💰 1080P: $0.525/video
Optimal Use Cases
- ★ Visual Question Answering and Interactive Image Analysis
- ★ Automated Image Captioning and Content Summarization
- ★ Multi-modal Business Intelligence and Analytics
- ★ Creative Visual Storytelling and Report Generation
Code Sample
Code sample for alibaba.create-image-to-video-generation using alibaba/wan2.2-i2v-plus would be displayed here.
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Comparison with Other Models
- 💡 vs. Popular Vision-Language Models: Wan2.2 Image-to-Video delivers superior VQA and image captioning accuracy, excelling in complex motion continuity and multi-modal reasoning. Popular models, while broader, offer less specialized multi-modal capabilities primarily for general image captioning and classification.
- 💡 vs. Text-only LLMs: Wan2.2 supports robust vision-language integration with direct image-to-video generation, a capability absent in text-only LLMs which are limited to text-based reasoning.
- 💡 vs. Wan2.1: Wan2.2 Image to Video outperforms its predecessor with a Mixture-of-Experts architecture, trained on substantially more images (+65.6%) and videos (+83.2%). This results in richer cinematic aesthetics, more stable video generation, and enhanced motion coherence.
Limitations
Wan2.2 is primarily optimized for image-to-video generation tasks. It is less suitable for pure text or non-visual applications where its specialized capabilities would not be fully utilized.
Frequently Asked Questions (FAQ)
❓ What is Wan2.2 I2V and how does it transform images into video sequences?
Wan2.2 I2V is an advanced image-to-video generation model that intelligently animates static images into dynamic video sequences. It analyzes input images to understand scene composition, object relationships, and potential motion patterns, then generates coherent video with believable movement while maintaining visual consistency and quality.
❓ What types of image-to-video transformations does Wan2.2 I2V handle best?
The model excels at animating natural scenes (water flow, wind effects), bringing portrait photos to life with subtle expressions, creating dynamic product demonstrations, generating architectural walkthroughs, transforming landscapes into cinematic sequences, and animating artwork while preserving its style.
❓ How does Wan2.2 I2V maintain object consistency and prevent artifacts?
Consistency is maintained through sophisticated object tracking, persistent feature embedding, physics-based motion generation, coherent lighting, and advanced temporal smoothing techniques. It minimizes flickering, distortion, or unnatural transitions by understanding object relationships and respecting the original composition.
❓ What are the practical applications for image-to-video technology?
Practical applications include social media content enhancement, e-commerce product visualization, real estate virtual tours, educational material animation, marketing content creation, historical photo restoration, artistic expression, and personalized video messages from photos, effectively breathing life into static images.
❓ What input specifications yield the best Wan2.2 I2V results?
Best results come from high-quality, well-composed source images, clear descriptions of desired motion types, appropriate duration specifications, style consistency, and context about the intended video purpose. Example: "Animate this mountain landscape with slow cloud movement, gentle tree swaying, and a subtle zoom-out over 10 seconds, maintaining the morning atmosphere."
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