ERNIE-Image: High-Quality Text-to-Image Model by Baidu
Explore ERNIE-Image, an open-source 8B parameter model by Baidu. It delivers precise multilingual text rendering and complex instruction following for structured visual creation.
Efficient 8B Parameter DiT Architecture
ERNIE-Image uses an 8 billion parameter Diffusion Transformer (DiT). It runs smoothly on consumer-grade GPUs with 24GB of VRAM, such as the NVIDIA RTX 4090. This moderate hardware requirement makes high-quality image generation accessible for individual creators without needing enterprise-level server infrastructure.
Precise Multilingual Text Rendering
Unlike standard generators, ERNIE-Image natively understands and renders text accurately in English, Chinese, and Japanese. It handles dense paragraphs and layout-sensitive typography effectively. This capability produces readable text within images, addressing common issues of blurring or misspelled characters found in many other open-source models.
Strong Complex Instruction Following
ERNIE-Image accurately manages multiple subjects, spatial relationships, and fine-grained requirements. It achieves highly competitive scores on industry benchmarks, recording 0.8856 on 'GenEval' and 0.9733 on 'LongTextBench'. Users can describe precise detailed scenes, resulting in outputs that closely match the given instructions.
Specialized Structured Image Generation
Designed for clear layouts and narrative structures, ERNIE-Image performs exceptionally well on posters, comic panels, and multi-panel images. It maintains logical scene transitions and consistent visual hierarchy across elements, making it highly practical for professional information design workflows.
Built-in Prompt Enhancer Module
The integrated 3B parameter Prompt Enhancer automatically expands short user inputs into detailed, well-structured descriptions. This feature bridges the gap between simple ideas and professional visual outputs, helping users achieve high-fidelity results without needing to master complex prompt engineering.
ERNIE-Image-Turbo Fast Inference
The Turbo variant applies DMD (Distribution Matching Distillation) and reinforcement learning optimizations to produce high-quality outputs using only 8 inference steps. This offers a practical balance between generation speed and visual quality compared to the 50 steps typically required by the standard model.
Commercial Posters & Advertising
Generate production-ready marketing visuals and advertisements with readable promotional text integrated directly into the image composition.
Comic & Manga Storyboarding
Create cohesive anime pages and narrative storyboards with consistent character actions using the structured layout capabilities of ERNIE-Image.
Social Media Content
Design multi-panel posts and engaging vertical visuals optimized for visual platforms like Instagram and Xiaohongshu.
Information Design & UI Mockups
Draft webpage layouts and user interfaces that natively incorporate structured textual information for clear design presentations.
E-commerce Product Visualization
Produce lifestyle scenes and product detail images tailored to specific brand aesthetics and custom aspect ratios.
Concept Art & Illustration
Develop artistic illustrations, cinematic concepts, and mood boards with detailed control over lighting and composition.