Instructions to use SceneWorks/boogu-image-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/boogu-image-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download SceneWorks/boogu-image-mlx --local-dir boogu-image-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download base-q4/vae/config.json from SceneWorks/boogu-image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 840 Bytes
-
https://huggingface.co/SceneWorks/boogu-image-mlx/resolve/main/base-q4/vae/config.json
- Command line
-
hf download hf://SceneWorks/boogu-image-mlx/base-q4/vae/config.json
-
curl -L -o config.json https://huggingface.co/SceneWorks/boogu-image-mlx/resolve/main/base-q4/vae/config.json
840 Bytes
| { | |
| "_class_name": "AutoencoderKL", | |
| "_diffusers_version": "0.35.2", | |
| "_name_or_path": "/share_2/luoxin/modelscope/hub/models/FLUX.1-dev", | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 3, | |
| "latent_channels": 16, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "layers_per_block": 2, | |
| "mid_block_add_attention": true, | |
| "norm_num_groups": 32, | |
| "out_channels": 3, | |
| "sample_size": 1024, | |
| "scaling_factor": 0.3611, | |
| "shift_factor": 0.1159, | |
| "up_block_types": [ | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D" | |
| ], | |
| "use_post_quant_conv": false, | |
| "use_quant_conv": false | |
| } | |