Model reference · open weights
Boogu-Image-0.1-Ed is an open-weight image model from Boogu, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
[](https://boogu.org) [](https://huggingface.co/Boogu) [](https://github.com/boogu-project/Boogu-Image) [](https://modelscope.cn/organization/Boogu) [](https://boogu-gallery.netlify.app/) [](http://demo-base.boogu.org/) [](http://demo-edit.boogu.org/) [](http://demo-turbo.boogu.org/) [](https://demo-edit-turbo-1k.boogu.org/) [](https://demo-edit-turbo-1k5.boogu.org/) [](LICENSE) [](https://arxiv.org/abs/2607.13125) Welcome to the official repository for Boogu-Image-0.1 ! English | 中文 ## ⚠️ Important Notice The Boogu team does NOT currently provide any paid API, subscription, or commercial service for Boogu-Image. Any paid product or service offered under the name "Boogu-Image" — or any similar / variant name such as booguimage, Boogu Image, Boogu, etc. — is NOT affiliated with this project and is unofficial. Please verify carefully before making any payment, and stay vigilant to protect your personal privacy and financial safety. Boogu-Image-0.1 is a research project only, and not an official model release. 📖 Introduction Boogu-Image-0.1 is a competitive Apache-2.0 open-source unified image generation and editing model family, including Base, Turbo, Edit, and Edit-Turbo, and other variants that provide stable, practical capabilities for high-quality text-to-image generation, fast generation, image editing, and Chinese-English text rendering. Closed-source multimodal understanding and generation systems like Nano Banana Pro and GPT-Image-2 achieve remarkable performance not because of a single model, but through a highly unified suite of system capabilities. However, under training compute that is extremely limited compared with closed-source systems, we find that systematically improving a model's understanding ability, data quality, and training pipeline can still significantly improve image generation and editing performance. Specifically, compared with some existing open-source models, our training data scale is roughly one order of magnitude smaller. We hope our empirical study and open-source release will help advance the open-source ecosystem for multimodal generation and understanding. This repository provides checkpoints and inference code for Boogu-Imag
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Boogu |
|---|---|
| Type | Image models |
| Parameters (lead) | 10.3B |
| Variants | 1 |
| Runs with | diffusers |
| Released | 2026-06-16 |
| Popularity | 992 downloads / month |
| Likes | 185 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Boogu-Image-0.1-Edit | 10.3B | BF16 | ~23.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys boogu-image-0-1-ed for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (boogu-image-0-1-ed below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"boogu-image-0-1-ed","prompt":"a red bicycle","size":"1024x1024"}'
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗