Instructions to use mlx-community/MOSS-Image-Base-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MOSS-Image-Base-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/MOSS-Image-Base-bf16 --local-dir MOSS-Image-Base-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model_index.json from mlx-community/MOSS-Image-Base-bf16: direct link, hf CLI and curl.
- Browser
- Download file 412 Bytes
-
https://huggingface.co/mlx-community/MOSS-Image-Base-bf16/resolve/main/model_index.json
- Command line
-
hf download hf://mlx-community/MOSS-Image-Base-bf16/model_index.json
-
curl -L -o model_index.json https://huggingface.co/mlx-community/MOSS-Image-Base-bf16/resolve/main/model_index.json
412 Bytes
| { | |
| "_class_name": "MOSSImagePipeline", | |
| "_diffusers_version": "0.38.0", | |
| "scheduler": [ | |
| "pipeline_moss_image", | |
| "MOSSImageScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3_5Model" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2Tokenizer" | |
| ], | |
| "transformer": [ | |
| "pipeline_moss_image", | |
| "MOSSImageTransformer" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2" | |
| ] | |
| } | |