Instructions to use mlx-community/Qwen-Image-Flash-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Qwen-Image-Flash-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Qwen-Image-Flash-8bit --local-dir Qwen-Image-Flash-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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transformer: int8 DiT (attn+FFN+modulation, group 64)
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text_encoder: int8 Qwen2.5-VL-7B language model (no vision tower)
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vae: unquantized AutoencoderKLQwenImage
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model_index.json
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scheduler: static shift-3 FlowMatchEuler
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tokenizer (incl. converted tokenizer.json)
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LICENSE (Apache-2.0, additional information per upstream)
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NOTICE: NVIDIA OML attribution + statement of quantization changes
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README: int8 tier — measured quality, footprints, and why there is no 4-bit tier
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initial commit
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