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Text-to-Image Diffusion

A prompt becomes a picture by repeatedly cleaning up noise

Architecture introduced 29 Nov 2021

You type a description; the system makes a picture. Behind the scenes it doesn't paint pixels straight away. It first turns your words into 'meaning numbers', then starts from a field of pure static and, step by step, cleans the static up until a picture matching your words emerges. A final step blows that compact sketch up into a full image, and a safety check looks at it before you see it. The 'brain' doing the cleanup was downloaded as a big file from a public model hub.

UntrustedYour pipelineOutput safetyUntrusted supply chainprompt+ / โ€“ prompt๐Ÿง‘User๐Ÿ’ฌChat / AppInterface๐ŸŽ›๏ธOrchestrator /Agent Loop๐ŸงฉPrompt Assemblyโœ‚๏ธTokenizer๐Ÿ”คText / CLIPEncoder๐ŸชŸContext Window๐ŸŽฒSampler /Decoder๐Ÿง Denoiser (U-Net/ DiT)๐ŸงฌBase checkpoint๐ŸชModel / PackageRegistry๐Ÿ—œ๏ธVAE / LatentCodec๐ŸงฏOutputGuardrail
InstructionsDataActionsControl / decisionFeedback / logs
๐Ÿ‘† Click any component in the diagram to inspect its risks & defenses

Follow a request ยท step 1 of 6

You type a description of the picture you want โ€” 'a red fox in a snowy forest, golden hour'.

AI RiskAtlas is an educational model of how GenAI & agentic systems work and fail. Architectures and payloads are illustrative and simplified for learning โ€” not operational guidance. Real-world cases are summarised from public reporting.

Sources & further reading โ†’ยทBuilt by Shi Yuan โ†—