Diffusion models like Stable Diffusion, Imagen, and DALL·E 2 don't draw your image — they erase static. A U-Net predicts the noise in a frame and subtracts it, step by step, while a CLIP text encoder steers every step toward your prompt. Stable Diffusion denoises a tiny 64x64 latent, then decodes it; a smarter sampler (DDIM) lands a clean picture in ~30 steps instead of a thousand. Once you see nothing is ever painted, does it change how you'd write your prompts?
#DiffusionModels #StableDiffusion #UNet #DALLE2 #HowAIWorks
#DiffusionModels #StableDiffusion #UNet #DALLE2 #HowAIWorks
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