Instructions to use treadon/mlx-nucleus-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use treadon/mlx-nucleus-image with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-nucleus-image treadon/mlx-nucleus-image
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| {"_class_name": "AutoencoderKLQwenImage", "_diffusers_version": "0.36.0.dev0", "attn_scales": [], "base_dim": 96, "dim_mult": [1, 2, 4, 4], "dropout": 0.0, "latents_mean": [-0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921], "latents_std": [2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.916], "num_res_blocks": 2, "temperal_downsample": [false, true, true], "z_dim": 16} |