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Boogu-Image-0.1-Turbo-8bit
mlx-community/Boogu-Image-0.1-Turbo-8bit
Boogu-Image-0.1-Turbo-8bit is a text-to-image model from mlx-community. Use it when you need an image from a text prompt. It is set up for mlx. The card lists the license as apache-2.0.
MLX (int8) conversion of Boogu-Image-0.1-Turbo (Apache-2.0) for Apple Silicon. 4-step Decoupled-DMD distilled (guidance 1.0) — ~6x faster. OmniGen2-lineage pipeline (DiT + FLUX.1 VAE + FlowMatchEuler). The Qwen3-VL-8B…
Access
Public
Updated Jun 21, 2026
Repo size
12.8 GB
Likes
1
Public
Repo makeup
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.safetensors12.8 GB · 100%
At a glance
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Access
- Public
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026
- SHA
- d821d297
Base models
Model card
From the Hugging Face model README
mlx-community/Boogu-Image-0.1-Turbo-8bit
MLX (int8) conversion of Boogu-Image-0.1-Turbo (Apache-2.0)
for Apple Silicon. 4-step Decoupled-DMD distilled (guidance 1.0) — ~6x faster. OmniGen2-lineage pipeline (DiT + FLUX.1 VAE + FlowMatchEuler).
The Qwen3-VL-8B-Instruct text encoder is stock (bit-identical) — referenced from
mlx-community/Qwen3-VL-8B-Instruct, not re-hosted.
int8 (group_size=32, attn+FFN); quant auto-detected via quant_config.json. ~12.5 GB.
Use
pip install mlx mlx-vlm && git clone https://github.com/xocialize/boogu-image-mlx && cd boogu-image-mlx && pip install -e .
from boogu_image_mlx.pipeline_mlx import BooguImagePipeline
pipe = BooguImagePipeline.from_pretrained("<this repo dir>", "mlx-community/Qwen3-VL-8B-Instruct")
img = pipe.generate("a red panda surfing on a wave, photorealistic", steps=4, guidance=1.0) # 4-step DMD
- Task
- Text-to-Image
- Library
- mlx
- License
- apache-2.0
- Languages
- en, zh
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026