Wan 2.2 Plus

Wan 2.2 Plus API Overview

Wan 2.2 Plus builds upon previous versions by significantly improving image stability during generation, ensuring fewer artifacts and more consistent outputs. It excels at producing richly detailed visuals with artistic flair suitable for a broad spectrum of creative applications.

Technical Specifications

• Model Type: Transformer-based Text-to-Image Generator
• Input Modalities: Text prompts (natural language)
• Output Modalities: High-resolution images (up to 1024x1024 pixels)
• Architecture: Advanced multi-layer transformer with integrated attention mechanisms focused on fine-grained visual features
• Training Data: Diverse large-scale multimodal datasets combining artistic, natural, and synthetic images
• Parameter Count: Approximately 2.5 billion parameters
• Inference Speed: Optimized for real-time and batch processing on high-end GPUs
• Supported Languages: Primarily English with robust handling of descriptive natural language

Performance Benchmarks

• FID Score: Achieves a Fréchet Inception Distance (FID) of 12.3, indicating high image realism and quality (lower is better)
• CLIP Score: Average CLIP embedding similarity score above 0.31, reflecting precise semantic alignment between input text and generated image
• Generation Consistency: Less than 5% variation in repeated generations under fixed random seed conditions
• Speed: Generates 512x512 images in under 1.2 seconds on a single NVIDIA A100 GPU

Key Features

• Enhanced Stability: Reduced image artifacts, consistent rendering quality across multiple generations on the same prompt
• High Detail Resolution: Superior handling of complex textures, fine lines, and subtle visual elements
• Artistic Style Adaptation: Flexible output style ranging from photorealism to abstract artistic effects
• Multimodal Robustness: Effective interpretation of nuanced text, including adjectives and complex scene descriptions
• Cross-Domain Creativity: Capable of combining multiple concepts and styles within a single coherent image
• Scalable Output Size: Supports variable output resolutions suited for web, print, or digital art

Wan 2.2 Plus API Pricing

• $0.0525 / image

Use Cases

• Digital Art Creation: Artists can generate original illustrations, concept art, and visual storytelling elements with minimal input.
• Content Marketing: Quickly produce eye-catching visuals for social media, blogs, or advertisements tailored to text themes.
• Design Prototyping: Aid designers in visualizing products, environments, or characters during early development stages.
• Creative Entertainment: Generate backgrounds, character inspirations, or scenes for games, films, and animations.
• Educational Tools: Support creative teaching methods by illustrating complex concepts or historical scenes dynamically.

Code Sample

Comparison with Other Models

vs Stable Diffusion V2: Wan 2.2 Plus delivers higher image stability and fewer visual artifacts compared to Stable Diffusion V2. While Stable Diffusion offers more flexibility in prompt styles and wider community support, Wan 2.2 Plus excels in rendering fine details and natural expressions consistently.

vs DALL·E 3: DALL·E 3 is renowned for its strong abstract concept generation and creative variety, but Wan 2.2 Plus provides sharper control over photorealistic detail and artistic style blending. Wan 2.2 Plus produces consistently realistic images with enhanced stability, making it better suited for nuanced realism.

vs Midjourney V5: Midjourney V5 favors surreal and ethereal art styles with high creativity, whereas Wan 2.2 Plus focuses on finely detailed, naturalistic images with fewer artifacts. Wan 2.2 Plus has an edge in preserving texture details and subtle visual elements, making it ideal for realistic imagery.