Text-to-Image
MLX
Safetensors
English
apple-silicon
flux
flux-3
image-editing
image-to-image
quantized
Instructions to use VisualInference/FLUX-3-Image-Klein-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use VisualInference/FLUX-3-Image-Klein-MLX-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download VisualInference/FLUX-3-Image-Klein-MLX-6bit --local-dir FLUX-3-Image-Klein-MLX-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Root config.json manifest (flux3-mlx format v1)
Browse files- config.json +33 -0
config.json
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{
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"_class_name": "Flux3KleinMLX",
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"format": "flux3-mlx",
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"format_version": 1,
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"base_model": "black-forest-labs/flux-3-image-klein",
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"variant": "distilled",
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"flow_map": true,
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"transformer": {
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"path": "transformer",
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"bits": 6,
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"group_size": 64
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},
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"text_encoder": {
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"path": "text_encoder",
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"source": "Qwen/Qwen3-VL-4B-Instruct",
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"layers": 32,
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"bits": 8
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},
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"vae": {
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"path": "vae/ae.safetensors",
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"dtype": "float32"
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},
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"sampler": {
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"steps": 16,
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"guidance": null,
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"alpha": 6.93,
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"default_size": [
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1024,
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1024
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]
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},
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"runner": "https://github.com/felix-ab/flux3-mlx"
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}
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