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] huggingface-cli download --local-dir boogu-image-mlx SceneWorks/boogu-image-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "_class_name": "BooguImageTransformer2DModel", | |
| "_diffusers_version": "0.35.2", | |
| "axes_dim_rope": [ | |
| 40, | |
| 40, | |
| 40 | |
| ], | |
| "axes_lens": [ | |
| 2048, | |
| 1664, | |
| 1664 | |
| ], | |
| "ffn_dim_multiplier": null, | |
| "hidden_size": 3360, | |
| "in_channels": 16, | |
| "instruction_feature_configs": { | |
| "instruction_feat_dim": 4096, | |
| "num_instruction_feature_layers": 1, | |
| "reduce_type": "mean" | |
| }, | |
| "multiple_of": 256, | |
| "norm_eps": 0.00001, | |
| "num_attention_heads": 28, | |
| "num_double_stream_layers": 8, | |
| "num_kv_heads": 7, | |
| "num_layers": 40, | |
| "num_refiner_layers": 2, | |
| "out_channels": null, | |
| "patch_size": 2, | |
| "prompt_tuning_configs": { | |
| "ffn_dim_multiplier": null, | |
| "hidden_size": 4096, | |
| "multiple_of": 256, | |
| "norm_eps": 0.00001, | |
| "num_attention_heads": 32, | |
| "num_kv_heads": 8, | |
| "num_layers": 0, | |
| "num_trainable_prompt_tokens": 0, | |
| "use_causal_mask": true, | |
| "use_prompt_tuning": false | |
| }, | |
| "quantization": { | |
| "bits": 8, | |
| "group_size": 32 | |
| }, | |
| "timestep_scale": 1000.0 | |
| } |