Boogu-Image
Boogu-Image-0.1 is an Apache-2.0 open-source image generation and editing model family that delivers near-closed-source performance with an order of magnitude less data.
What is it?
What it is
Boogu-Image-0.1 is an open-source unified multimodal model family for text-to-image generation, image editing, and Chinese-English text rendering, including Base, Turbo, Edit, and Edit-Turbo variants.
Why it exists
To advance the open-source ecosystem by improving multimodal understanding and generation with limited training compute, focusing on data quality and pipeline optimization.
Who should use it
DevelopersResearchersAI/ML practitionersCreative professionals with technical skills
Who should avoid it
Non-technical usersUsers requiring paid APIsThose needing high image editing consistency
How it works
A quick walkthrough in plain English
How Boogu-Image works
Step 1 of 3
You interact with it
Open Boogu-Image, send a request, or connect it to your stack.
Features
Advantages
- Free and permissive Apache-2.0 license
- Strong image quality and prompt adherence
- Fast generation (4 steps for Turbo)
- Versatile editing capabilities (insertion, removal, style transfer)
- Multilingual text rendering with stable typography
- Active community support and demos
- Low compute requirements for inference with quantization options
- Transparent training pipeline and reproducibility
Disadvantages
- Limited world knowledge and domain expertise compared to closed‑source models
- Image-to-image consistency can be unstable for complex edits
- Dense or long text rendering may contain typos or layout drift
- Body structure and small facial details may be imperfect in extreme poses
- Limited support for languages beyond Chinese and English
- Open‑source release does not include full training data or system details
- Potential artifacts in certain aspect ratios or resolutions
- Requires careful GPU memory management for large models
Installation
native
conda create -y -n boogu python=3.10 && conda activate boogu && pip install -r requirements/torch2.7-cu126.txt && pip install -e . && python utils/get_flash_attn.py (or alternatively run bash quick_start.sh && conda activate boogu)
FAQ
What is Boogu-Image?
Boogu-Image is an open-source project licensed under Apache-2.0.
What language is Boogu-Image built with?
Primary language: Python.
Is it free to use?
Yes. Licensed under Apache-2.0. Check the license for commercial use.
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