Model reference · open weights

Boogu-Image-0.1-Edit

Image Boogu Image edit 1 build Open weights 992 dl/mo

Boogu-Image-0.1-Edit is an open-weight image model from Boogu. Boogu-Image-0.1-Edit (BF16) weighs 38.5 GB; the smallest configuration that runs it is RTX 5090 32 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • Boogu-Image-0.1-Edit is an image-to-image model developed by Boogu that supports image editing and transformation tasks.
  • The model contains 10.3B parameters and is licensed under Apache-2.0.
  • It supports English and Chinese languages with resolutions up to 2K.

Summary of the Boogu/Boogu-Image-0.1-Edit model card, 2026-10-01

What it is

Released byBoogu
Released2026-06-16
Parameters10.3B
VRAM38.5 GB for the weights

What it runs on

Memory and cards for Boogu-Image-0.1-Edit (BF16)

38.5 GBweights, file size
20.6 GBbiggest part
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
RTX 3060 12 GB … RTX 4090 24 GBdoes not fit
RTX 5090 32 GBfits (encoders offloaded)31.0 GB
L40S 48 GBfits (encoders offloaded)44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What Boogu says about Boogu-Image-0.1-Edit

Read the model card

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-Image-0.1.

📣 News

  • 2026-07-23 🔥 NPU support is now available! Check out the npu branch for initial NPU backend support and instructions. We welcome feedback and bug reports!
  • 2026-07-22 🔥 vLLM-Omni now supports Boogu-Image! You can now run Boogu-Image models with the vLLM-Omni inference server. See the official recipe for details and setup: vllm-project/vllm-omni Boogu-Image recipe.
  • 2026-07-16 🔥 🚀 🚀 The Boogu-Image-0.1 Technical Report is released! We have released our technical report. If you find our series of models or the report helpful to your research or applications, please consider citing our paper. Thank you very much for your support! You can read the paper here: arXiv:2607.13125.
  • 2026-07-08 🔥 Boogu-Image-0.1-Edit-Turbo (Image-to-Image hotfix) is released! This update addresses several issues in the previous version, including severe image quality degradation and poor performance on removal and other editing tasks. The new checkpoints are released on Hugging Face in the revisions hotfix-1k-20260708 and hotfix-1k5-20260708. We recommend downloading the 1K checkpoint for more stable results. Try the online demo for 1K res and online demo for 1.5K res.
  • 2026-06-30 🔥 Boogu-Image-0.1-Edit-Turbo (Image-to-Image) is released! Four-step distilled variant of the editing model for fast inference. Try the online demo for 1k res and online demo for 1.5k res.
  • 2026-06-25 🔥 Boogu-Image-0.1-Turbo-hotfix (Text-to-Image) is now online! The new checkpoint is released on Huggingface in the revision hotfix-20260625. This is a minor patch release. We fixed visual artifacts appear in different aspect ratio, background overfitting artifacts, and other artifacts. Model weights are updated, no feature changes.
  • 2026-06-17 🔥 ComfyUI-Boogu powered by ComfyUI is released! Thank you, ComfyUI!
  • 2026-06-17 🔥 ComfyUI-Boogu is released!
  • 2026-06-16 🔥 Boogu-Image-0.1-Base (Text-to-Image) is released! The core text-to-image foundation model. Try the online demo.
  • 2026-06-16 🎨 Boogu-Image-0.1-Edit (Image-to-Image) is released! Image editing and transformation capabilities now available. The model supports resolutions up to 2K, but the results are more stable at 1K. Try the online demo. Only support 1 reference image for now. Will try our best to support more reference images. Stay tuned! Boogu-Image-0.1-Edit on single-image editing is strong. More failure cases are welcome.
  • 2026-06-16 🚀 Boogu-Image-0.1-Turbo is released! Four-step distilled variant for fast inference and photorealistic generation. Try the online demo.

🌐 Join the Community!

Boogu-Image is built to grow with its users. Share what you create, report issues, exchange ideas, and help shape what comes next.

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🏆 Boogu Arena

Since we could not evaluate on LM Arena directly, we bui

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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