Tools/boogu-project/Boogu-Image

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.

940+71/wknascentPythonApache License 2.0new this week

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Jun 2026

Boogu-Image is an open source image-generation and editing model you run yourself. It comes in Base, Turbo, and Edit variants for text-to-image, fast photorealistic generation, and image-to-image editing, with notably strong Chinese and English text rendering. Code is Apache-2.0 and the weights are on Hugging Face and ModelScope, all free.

Self-hosting a model like this means real hardware. You need a capable GPU and the patience to set up inference, and there is no official hosted API to fall back on. At version 0.1 it is early, so expect rough edges. The payoff is full control and no per-image cloud bill, which adds up fast once you generate at volume.

This is for ML practitioners and builders who want a permissively-licensed image model they can run on their own GPUs, especially if bilingual text rendering matters to them. Solo with a good GPU: free to run. Teams generating at scale: free software, but budget for the hardware. If you want a turnkey API and no ops, the proprietary options like DALL-E, Midjourney, Firefly, and FLUX Pro are where you pay for convenience.

The catch is the hardware and the early stage. This is weights and code, not a service, so the GPU and the setup are on you, and at v0.1 it is more a capable starting point than a finished product. If you have the silicon and want to own your image pipeline, it is a strong free option. If you do not, an API is less hassle.

Free vs Self-Hosted vs Paid

fully free

Free tier: Code is Apache-2.0 and the weights are on Hugging Face and ModelScope, all free.

Self-hosted: Run inference on your own GPU. There is no official hosted API.

Paid: None. For a turnkey hosted API, the proprietary options (DALL-E, Midjourney, Firefly, FLUX Pro) charge per image or per seat.

Completely free and open source. The GPU hardware to run it is the real cost.

Self-hosting ops:significant

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Score
61/100 · B
Adoption8/30
Maintenance21/25
Community7/20
License15/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

Organization account (2 public repos)

License: Apache License 2.0

Use freely. Patent grant included.

Commercial use: ✓ Yes

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