Text-to-Image
MLX
Safetensors
English
Chinese
moss_image
apple-silicon
moss-image
text-rendering
layout
quantized
8-bit precision
Instructions to use VisualInference/MOSS-Image-SFT-MLX-compact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use VisualInference/MOSS-Image-SFT-MLX-compact with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download VisualInference/MOSS-Image-SFT-MLX-compact --local-dir MOSS-Image-SFT-MLX-compact
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model_index.json from VisualInference/MOSS-Image-SFT-MLX-compact: direct link, hf CLI and curl.
- Browser
- Download file 455 Bytes
-
https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/model_index.json
- Command line
-
hf download hf://VisualInference/MOSS-Image-SFT-MLX-compact/model_index.json
-
curl -L -o model_index.json https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/model_index.json
455 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" | |
| ], | |
| "moss_image_mlx": { | |
| "format": 1 | |
| } | |
| } | |