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-8bit 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-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download VisualInference/FLUX-3-Image-Klein-MLX-8bit --local-dir FLUX-3-Image-Klein-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 1,165 Bytes
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"format_version": 1,
"model": "flux-3-image-klein",
"quantization": {
"group_size": 64,
"bits": 8,
"mode": "affine",
"bf16_layers": [
"*modulation*",
"time_in",
"ref_time_in",
"emb_in",
"txt_in",
"final_layer"
]
},
"torch_dtype": "bfloat16",
"dit": {
"hidden": 3072,
"heads": 24,
"depth": 5,
"depth_single": 28,
"mlp_ratio": 3.0,
"axes_dim": [
32,
32,
32,
32
],
"theta": 10000,
"in_channels": {
"image": 128,
"image_cond": 128,
"text": 20480
},
"out_modes": [
"image"
],
"vec_in_dim": null,
"image_rope_scale": 0.5,
"flow_map": true
},
"text_encoder": {
"path": "text_encoder",
"tokenizer": "text_encoder",
"layers": [
4,
8,
12,
16,
20,
24,
28,
32
],
"pad_multiple": 80,
"max_tokens": 8192,
"dtype": "bfloat16"
},
"vae": {
"path": "ae.safetensors",
"dtype": "float32"
},
"sampler": {
"steps": 16,
"guidance": null,
"alpha": 6.93,
"size": [
1024,
1024
]
}
}
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