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134. Design Text-to-Image Generation

Prompt to four images in seconds: latent diffusion, guidance, a distilled few-step student, recaptioned data, safety on both sides, watermarks and C2PA.

The brief

Design Text-to-Image Generation. Prompt to four images in seconds: latent diffusion, guidance, a distilled few-step student, recaptioned data, safety on both sides, watermarks and C2PA. Work from the scoping questions below. State assumptions for any unspecified load, guarantee or target, then trace your design end to end. Explain one difficult case and a credible alternative; the worked example is a reference, not a required implementation.

  • Set the scope: Scale? Our own model?
  • Define the contract: How fast? Detailed prompts, text in images?
  • Test the boundaries: What is stored? Paid tiers? Provenance? Editing, image prompts?

Constraints

Explicit scope and guarantees
Resolve the scoping questions for Text-to-Image Generation. Separate stated behavior from assumptions, and identify what is outside your design.
Supported operating targets
Declare relevant volume, latency, freshness, quality or cost targets with units. Show calculations or an evaluation plan that can test them; unspecified targets are your assumptions, not hidden pass criteria.
Failure and boundary behavior
Explain how your guarantees hold in a difficult case relevant to this subject. Address: Provenance? Editing, image prompts?

What to cover

  1. 01

    Scope and behavior contract

    Identify users, required behavior and exclusions. Answer: Scale? Our own model?

  2. 02

    State and interfaces

    Define the information owned by the system and the inputs, outputs and errors at its boundaries. Resolve: How fast? Detailed prompts, text in images?

  3. 03

    Capacity and operating targets

    Estimate the dominant workload and resource demand with units and explicit assumptions. For a learned system, also state how quality is measured and what data is available.

  4. 04

    Architecture and central flow

    Draw or describe the responsibilities needed for Text-to-Image Generation. Trace a representative request, event or job from its input to a visible result; identify durable state owners.

  5. 05

    Failure and boundary walkthrough

    Walk through a difficult case step by step, including detection and recovery. Consider: What is stored? Paid tiers? Provenance? Editing, image prompts?

  6. 06

    Tradeoffs and operations

    Compare a credible alternative using your chosen workload and guarantees. Explain a remaining risk, a signal to watch and when you would change the design.

Worked designs

Explore the architecture and decisions, then build on an example with Coach.

Review rubric

AI feedback uses these criteria. Scores are practice feedback.

Scope and contracts

The scoping questions have explicit, consistent answers.

25points

End-to-end design

State ownership and the central flow satisfy the chosen scope.

30points

Operating evidence

Calculations or evaluations support the declared targets.

20points

Boundaries and tradeoffs

A difficult case and an alternative are traced concretely.

25points

Discussion

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