ERNIE-Image is a text-to-image diffusion model hosted on Hugging Face under the baidu organization. It generates images from textual prompts and belongs to the class of diffusion-based text-to-image models.
The model is provided with an ErnieImagePipeline implementation and is distributed in Safetensors format. It can be loaded through the Diffusers library using a few lines of Python code that specify a torch bfloat16 data type and a CUDA device map. Example usage includes creating a pipeline from the repository identifier and passing a prompt such as "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" to produce an output image.
Integration is available via several inference providers, Colab and Kaggle notebooks, and local applications including Draw Things and DiffusionBee. The repository lists benchmark results on GENEval, OneIG-EN, OneIG-ZH, and LongTextBench. A lighter variant called ERNIE-Image-Turbo is referenced alongside the main model.
ERNIE-Image is released under the Apache 2.0 license. The page indicates 3.24k likes and 664 followers for the repository.
ERNIE Image is an Image generation project. It focuses on generating detailed images from text descriptions using a powerful diffusion model. It is built as an open-source project for developers. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
Baidu builds and maintains ERNIE Image, and it first shipped in 2026. Development happens publicly on GitHub with 493 stars. Among its 3 catalogued features are text-to-Image, Diffusion Model, and High Resolution.
Summary written by a language model from the project’s public pages.
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