Model Overview

ERNIE-Image is an open-source text-to-image generation model developed by Baidu's Wenxin (ERNIE) team. Built on a single-stream Diffusion Transformer (DiT) architecture with 8 billion parameters, it operates within a Latent Diffusion Model (LDM) framework.

The model's core philosophy emphasizes not only visual aesthetics but also controllability. In content creation scenarios such as commercial posters, comics, and multi-panel layouts, accurate content realization matters just as much as visual appeal.

Core Capabilities

Native Multilingual Support

Natively understands Chinese, English, and Japanese, supporting culturally authentic outputs and idiomatic expressions
Particularly well-suited for East Asian content creation

Precise Text Rendering

Strongest text rendering among all open-source models
Supports dense typography, long-form text, and layout-sensitive content in both Chinese and English
Ideal for text-heavy imagery such as poster titles, comic dialogue boxes, and UI interfaces

Complex Instruction Following

Reliably handles multi-object relationships, complex descriptions, and knowledge-intensive content

ERNIE-Image-Turbo

Rating & Review