How It Works
From text prompt to stunning image — here's the technology powering FreeGen
You Write a Prompt
Type a text description of the image you want to create. Be as detailed as you like — the more specific, the better. Include subject, style, lighting, mood, and quality modifiers.
Example: "A majestic golden dragon flying over a medieval castle at sunset, dramatic lighting, cinematic composition, 8K, highly detailed"
AI Interprets Your Vision
Our AI models use advanced natural language processing to understand your prompt. The model tokenizes and encodes your text into a mathematical representation called an embedding.
Diffusion Process Begins
The AI starts with random noise and gradually refines it into a coherent image through multiple inference steps. Each step removes noise and adds detail, guided by your prompt embedding.
More steps (up to 50) = more detail but slower generation
Style & Model Applied
Your chosen AI model (Seedance Pro, Kling Vision, FLUX Pro, etc.) applies its specialized training to optimize for its strength — photorealism, cinematic quality, artistic style, or speed.
Image Delivered to You
Your finished image is generated at your specified dimensions (up to 1024×1024) and made available for instant download. The entire process typically takes 5-15 seconds.
Diffusion Models
State-of-the-art models that learn to generate images by reversing a process that adds noise to training data.
CLIP Encoding
Contrastive Language-Image Pre-training bridges the gap between text descriptions and visual concepts.
Latent Space
Generation happens in a compressed "latent space" which dramatically speeds up the process without sacrificing quality.