It Starts with Noise
AI image generators don't draw from scratch. They start with a canvas full of random noise — think TV static — and slowly "clean" it into a clear image based on your text prompt. This process is called Diffusion.
What is a Diffusion Model?
A diffusion model is a type of AI that was trained by looking at billions of images with captions. During training, the AI practised adding noise to images and then learning to reverse the process. After billions of rounds of practice, it got incredibly good at removing noise in a way that produces exactly the image you described.
Simple Analogy
Imagine a sculptor. They don't build a statue from nothing — they start with a big rough block of marble (the noise) and chip away (the denoising steps) until the final form emerges. Your text prompt is the sculptor's vision.
The Role of Your Text Prompt
When you write a prompt like "a cyberpunk cat sitting on a Tokyo rooftop, neon lighting, photorealistic", the AI encodes that text into a mathematical representation. This acts as a guidance signal during every step of the noise removal, steering the image toward your description.
This is why Prompt Engineering matters. Better prompts → better images. Codevantum teaches you exactly how to master this.
Popular AI Image Tools and How They Differ
- Midjourney: Known for artistic, painterly results. Best for creative and aesthetic prompts.
- DALL-E 3 (via ChatGPT): Great at following precise instructions. Strong for concepts and illustrations.
- Stable Diffusion: Open-source and highly customisable. Best for power users who want full control.
- Adobe Firefly: Commercially safe and designed for professional design workflows.
Can Anyone Learn AI Image Generation?
Absolutely. You don't need any design background. The core skill is writing effective prompts — and that's exactly what we teach at Codevantum. Our bite-sized lessons walk you through everything from basic composition prompts to advanced style controls.
Beyond Images: How AI Generation Applies to Video and Audio
The same diffusion principles power AI video generation (Sora, Runway), AI music (Suno), and AI voices. Once you understand the image generation foundation, the whole world of generative AI opens up.