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Design Tools

Text-to-Image with Advanced Controls

Expose generation parameters (seed, guidance, steps, aspect ratio) with presets and plain labels. Pros get reproducibility. Casual users keep safe defaults.

Interactive demo

Ceramic pour-over · Photo
Preview · Photo

Ceramic pour-over set on oak, soft morning light

Overview

How might we design text-to-image with advanced controls so people can trust and act on AI output?

When to use

  • Ideal for professional image generation, creative workflows, and applications where fine-grained control over generation parameters improves output quality and consistency.

When to skip

  • Casual consumers who only need a prompt box.
  • Mobile surfaces with no room for advanced drawers.
  • Parameters that the backend ignores or randomizes anyway.

Rules

  • Raw sliders with jargon and no tooltips.

  • Locking seed without showing how to reproduce a favorite.

  • Advanced panel that resets on every generation.

  • Hiding cost impact of high step counts.

Evidence

ProductImplementation
Stable Diffusion WebUIFull sampler, CFG, seed, and LoRA controls.
MidjourneyParameters via flags and settings for chaos and stylize.
DALL-E APISize, quality, and style options in developer UIs.
ComfyUINode graph exposing every generation parameter.

Real-world examples

See all

FAQ

Which controls matter most to expose?

Aspect ratio, quality/speed, seed for repeatability, and guidance/strength for prompt adherence.

Presets vs manual?

Ship presets (“Fast”, “Quality”, “Portrait”) and tuck manual sliders under Advanced.

How explain guidance scale?

Plain language: higher follows the prompt more literally; lower allows more surprise.

Controls vs variation grid?

Controls shape one generation. Variation grid compares multiple outputs from those settings.