---
license: apache-2.0
base_model:
  - Boogu/Boogu-Image-0.1-Base
  - Boogu/Boogu-Image-0.1-Turbo
  - Boogu/Boogu-Image-0.1-Edit
pipeline_tag: text-to-image
tags:
  - mlx
  - apple-silicon
  - text-to-image
  - image-editing
  - boogu-image
library_name: mlx-gen
---

# Boogu-Image-0.1 — native MLX

Pre-converted, native **MLX** weights of [Boogu-Image-0.1](https://huggingface.co/Boogu) for Apple
Silicon, loaded by [SceneWorks](https://sceneworks.io)' `mlx-gen` Rust engine — no PyTorch / Python at
inference. Boogu is a Lumina-Image-2.0 / OmniGen2-lineage flow-matching image model: a mixed
single/double-stream DiT (~10.3B) + a Qwen3-VL-8B condition encoder + the FLUX.1 16-channel VAE.

## Variants

Each subfolder is a complete snapshot — `transformer/` (DiT) + `mllm/` (Qwen3-VL encoder + tokenizer)
+ `vae/` — loadable directly.

| Folder | Source | Task |
|---|---|---|
| `base/` | Boogu-Image-0.1-Base | text-to-image (true-CFG) |
| `turbo/` | Boogu-Image-0.1-Turbo | text-to-image (DMD few-step, no CFG) |
| `edit/` | Boogu-Image-0.1-Edit | reference image + instruction → edited image |
| `base-bf16/` `turbo-bf16/` `edit-bf16/` | (above) | same models, **full precision** |

The bare-named folders are the **default Q8** build; the `-bf16` folders are the unquantized originals
for maximum quality / experimentation.

## Quantization (Q8 folders)

Group-wise affine **Q8, group size 32** — the DiT hidden size (3360) is divisible by 32, not the usual
64. Quantized: the DiT Linears + the Qwen3-VL **text-tower** Linears. Kept full precision: the FLUX.1
VAE (decode-precision-sensitive), the Qwen3-VL **vision tower** (runs f32), and the token-embedding
table.

Footprint (measured @ 1024²): Q8 ~35.5 GB peak → recommended **64 GB** Mac. (Q4 would be ~27–30 GB /
48 GB; not shipped here.) bf16 runs require more.

## Usage

Loaded by `mlx-gen-boogu` via `BooguPipeline::from_snapshot("<variant folder>")` (text-to-image,
Turbo few-step, and single-reference image edit). Used by SceneWorks Image Studio.

## License

**Apache-2.0**, inherited from the upstream `Boogu/Boogu-Image-0.1-{Base,Turbo,Edit}` checkpoints.
These are re-quantized/repackaged copies of those weights for MLX; all credit to the Boogu authors.