SD 1.4 GLIGEN

Gold definitionUpdated Apr 2, 2026

Definition

SD 1.4 GLIGEN is a text-to-image model, a variant of Stable Diffusion 1.4, enhanced with GLIGEN's grounded generation capabilities. It allows users to specify spatial layouts of objects using bounding boxes and text prompts, enabling more precise control over image synthesis.

At a glance

Executive summary

SD 1.4 GLIGEN is a version of the Stable Diffusion 1.4 model that allows users to specify where objects should appear in generated images using bounding boxes. This gives much better control over the layout compared to just using text, making it useful for tasks that need precise object placement.

TL;DR

SD 1.4 GLIGEN is a text-to-image model that lets you tell it exactly where to put objects in the picture using boxes, not just words.

Key points

Integrates explicit spatial grounding (e.g., bounding boxes) with text prompts into the Stable Diffusion 1.4 model.
Solves the problem of imprecise spatial control in earlier text-to-image models, enabling accurate object placement.
Used by researchers and ML engineers in generative AI, computer vision, and content creation requiring fine-grained image synthesis.
Unlike standard text-to-image models that infer layout from text, GLIGEN explicitly takes spatial coordinates as input.
Part of a broader research trend towards controllable and steerable generative models, moving beyond simple text-to-image to text-and-layout-to-image.

Use cases

Synthetic Data Generation: Creating diverse training datasets for object detection or scene understanding models with precise control over object positions and sizes.
Visual Content Creation: Artists and designers generating images for specific layouts, such as product mockups or storyboards, where object placement is critical.
Architectural Visualization: Generating interior designs or urban landscapes where furniture or buildings need to be placed in exact locations.
Educational Tools: Creating visual aids where the spatial relationship between elements is key for understanding, e.g., diagrams of scientific processes.

Also known as

GLIGEN, Grounded Diffusion, Layout-to-Image, SD-GLIGEN