Sign in
Technology

Text-to-image generation

Text-to-image generation is a class of AI techniques that create images from natural language descriptions, using deep generative models such as diffusion models and GANs. It matters because it dramatically lowers the barrier to producing custom visuals, enabling designers, marketers, developers, and everyday users to generate high-quality imagery on demand without traditional artistic skills.

by N/A – umbrella technology category with many vendors (e.g., OpenAI, Stability AI, Midjourney, Adobe, Google)

Key Features

  • •Natural language to image synthesis using prompts
  • •Support for multiple styles (photorealistic, illustration, 3D, anime, etc.)
  • •High-resolution image generation with upscaling options
  • •Control mechanisms such as negative prompts, seeds, and guidance scales
  • •Fine-tuning or customization on user-provided image datasets

Pricing

Unknown

Pricing varies widely by vendor; common models include freemium web apps, pay-per-image or compute usage, and enterprise licensing for API access.

Alternatives

DALL·EStable DiffusionMidjourneyAdobe FireflyImagen (Google)

Links

Industries Using Text-to-image generation

architecture and interior design26entertainment23fashion12media9real estate6advertising5marketing3aerospace defense2

Often Used With

Text-to-Image (87)LLM (61)Computer Vision (47)Text-to-Video (21)Vector DB (18)Image-to-Image (9)Text-to-Speech (9)Deep Learning Framework (8)Speech-to-Text (7)Text-to-Audio (7)LLM Orchestration (5)Video Understanding (3)

Quick Stats

88
Total Use Cases
10
Industries
12
Related Technologies

Use Cases Using Text-to-image generation

No use cases found for this technology.

Browse all technologies