Image-to-Image
MLX
Diffusers
Safetensors
English
Chinese
apple-silicon
text-to-image
image-editing
diffusion
omnigen2
boogu
Instructions to use mlx-community/Boogu-Image-0.1-Edit-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Boogu-Image-0.1-Edit-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Boogu-Image-0.1-Edit-4bit mlx-community/Boogu-Image-0.1-Edit-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload README.md with huggingface_hub
Browse files
README.md
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---
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library_name: mlx
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license: apache-2.0
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license_link: https://huggingface.co/Boogu/Boogu-Image-0.1-Edit/blob/main/README.md
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pipeline_tag: image-to-image
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base_model: Boogu/Boogu-Image-0.1-Edit
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language: [en, zh]
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tags: [mlx, safetensors, apple-silicon, text-to-image, image-editing, diffusion, omnigen2, boogu]
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---
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# mlx-community/Boogu-Image-0.1-Edit-4bit
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MLX (int4) conversion of **[Boogu-Image-0.1-Edit](https://huggingface.co/Boogu/Boogu-Image-0.1-Edit)** (Apache-2.0)
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for Apple Silicon. Instruction-based image editing. OmniGen2-lineage pipeline (DiT + FLUX.1 VAE + FlowMatchEuler).
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The **Qwen3-VL-8B-Instruct** text encoder is stock (bit-identical) — referenced from
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[`mlx-community/Qwen3-VL-8B-Instruct`](https://huggingface.co/collections/mlx-community/qwen3-vl), not re-hosted.
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**int4** (group_size=32, attn+FFN); quant auto-detected via `quant_config.json`. ~7.9 GB.
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## Use
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```bash
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pip install mlx mlx-vlm && git clone https://github.com/xocialize/boogu-image-mlx && cd boogu-image-mlx && pip install -e .
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```
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```python
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from boogu_image_mlx.pipeline_mlx import BooguImagePipeline
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pipe = BooguImagePipeline.from_pretrained("<this repo dir>", "mlx-community/Qwen3-VL-8B-Instruct")
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img = # instruction-based image editing (imageEdit)
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```
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Code: https://github.com/xocialize/boogu-image-mlx
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