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const main = async () => {
const response = await fetch('https://api.ai.cc/v1/images/generations', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'alibaba/wan2.2-t2i-flash',
prompt: 'A jellyfish in the ocean',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main();
import requests
def main():
response = requests.post(
"https://api.ai.cc/v1/images/generations",
headers={
"Authorization": "Bearer ",
"Content-Type": "application/json",
},
json={
"model": "alibaba/wan2.2-t2i-flash",
"prompt": "A jellyfish in the ocean",
},
)
response.raise_for_status()
data = response.json()
print("Generation:", data)
if __name__ == "__main__":
main()
-
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Product Detail
Unlock Rapid Image Generation with Wan 2.2 Flash API
The Wan 2.2 Flash API represents a significant leap in text-to-image AI technology, engineered for both remarkable speed and impressive visual fidelity. Building upon the robust foundation of the original Wan 2.2 model, this enhanced version is meticulously optimized to deliver high-quality images with dramatically reduced response times. It's the perfect solution for developers and creators who prioritize accelerated image output without compromising on detail or aesthetic appeal.
Experience a seamless creative workflow where ideas transform into visuals almost instantly, making rapid prototyping and real-time content generation a reality.
⚙️ Technical Specifications
- Model Type: Text-to-Image Generative AI
- Architecture: Enhanced transformer-based diffusion model
- Input: Text prompts in English and multiple other languages
- Output: High-resolution RGB images (up to 1024x1024 pixels)
- Response Time: Up to 40% faster than the standard Wan 2.2 version
- Model Size: Approximately 2.8 billion parameters
⚡ Performance Benchmarks: Speed & Efficiency
- Average Response Time: Reduced from 4.5 seconds (Wan 2.2 Standard) to a blazing 2.7 seconds with Wan 2.2 Flash.
- Image Resolution: Maintains a peak of 1024x1024 pixels across both versions.
- Fidelity (FID Score): A minor trade-off, with FID slightly increasing from 12.7 to 13.2, prioritizing speed.
- Model Size: Consistent at approximately 2.8 billion parameters.
- GPU Memory Usage: Optimized significantly from 12 GB down to 9 GB, enhancing efficiency.
✨ Key Features That Empower Your Creativity
- ⚡ Accelerated Generation: Provides faster image synthesis with minimal latency, perfect for real-time creative workflows.
- 🖼️ High Image Quality: Maintains sharp details and vibrant color accuracy, even at increased speeds.
- 🎨 Wide Style Range: Supports diverse artistic styles, from photorealistic renditions to abstract creativity.
- 🧠 Advanced Prompt Understanding: Employs context-aware semantic parsing for better alignment with user input.
- 🗣️ Multi-Lingual Input: Accepts prompts in English and a wide range of additional languages.
- ✔️ Stable Output Consistency: Produces reliably coherent images across iterations, ensuring predictable results.
💲 Wan 2.2 Flash API Pricing
Get started with Wan 2.2 Flash for an accessible price of: $0.02625 / image.
💡 Transform Your Workflow: Key Use Cases
- Creative Design: Rapid prototyping of visuals for advertising, branding, and marketing concepts.
- Content Creation: Swift generation of illustrations for blogs, digital publications, and social media.
- Game Development: Quick asset visualization for characters, environments, and effects, speeding up iteration cycles.
- Education & Research: Dynamic visual aids for academic and exploratory projects requiring fast iteration.
- Personalized Art: User-driven artwork generation with immediate visual feedback for unique creations.
- Entertainment: Concept art, storyboards, and mood boards for film and animation pipelines, accelerating pre-production.
Integrate with Ease: Code Sample
Wan 2.2 Flash: How It Stacks Up Against Competitors
vs Stable Diffusion 3.0: Wan 2.2 Flash excels with up to 40% faster image generation, strategically prioritizing speed with a slightly higher FID score. Stable Diffusion 3.0 delivers more detailed and photorealistic images but demands longer processing times and greater GPU resources.
vs Midjourney V6: Wan 2.2 Flash offers a superior balance of image quality and accelerated response, making it ideal for rapid iteration. Midjourney V6 is renowned for highly stylized, artistic outputs, though with generally slower rendering speeds.
vs DALL·E 3: Wan 2.2 Flash is optimized for quicker responses and real-time use cases. DALL·E 3 shines in creative composition and high-fidelity image generation, typically with a higher latency.
vs Imagen: Designed for efficient performance in interactive applications, Wan 2.2 Flash stands out. Imagen focuses on achieving photorealistic quality, which often comes with more substantial computational requirements.
❓ Frequently Asked Questions (FAQ)
Q: What is Wan 2.2 Flash?
A: Wan 2.2 Flash is an advanced text-to-image AI model built on the Wan 2.2 architecture, specifically optimized for significantly faster image generation while maintaining high visual quality. It's designed for users needing quick outputs without sacrificing fidelity.
Q: How much faster is Wan 2.2 Flash compared to the standard version?
A: Wan 2.2 Flash is up to 40% faster, reducing average response times from 4.5 seconds to 2.7 seconds.
Q: What is the output resolution of images generated by Wan 2.2 Flash?
A: It generates high-resolution RGB images up to 1024x1024 pixels.
Q: Can Wan 2.2 Flash understand prompts in multiple languages?
A: Yes, it accepts text prompts in English and a wide range of other languages, thanks to its advanced prompt understanding.
Q: What are the primary benefits of using Wan 2.2 Flash for creative projects?
A: Its primary benefits include accelerated generation for rapid prototyping, maintenance of high image quality, support for a wide range of artistic styles, and efficient GPU memory usage, making it ideal for dynamic creative workflows.
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