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 scheduler/scheduler_config.json from VisualInference/MOSS-Image-SFT-MLX-compact: direct link, hf CLI and curl.
- Browser
- Download file 494 Bytes
-
https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/scheduler/scheduler_config.json
- Command line
-
hf download hf://VisualInference/MOSS-Image-SFT-MLX-compact/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/VisualInference/MOSS-Image-SFT-MLX-compact/resolve/main/scheduler/scheduler_config.json
494 Bytes
| { | |
| "_class_name": "MOSSImageScheduler", | |
| "_diffusers_version": "0.38.0", | |
| "base_image_seq_len": 256, | |
| "base_shift": 0.5, | |
| "invert_sigmas": false, | |
| "max_image_seq_len": 4096, | |
| "max_shift": 1.15, | |
| "num_train_timesteps": 1000, | |
| "shift": 5.0, | |
| "shift_terminal": null, | |
| "stochastic_sampling": false, | |
| "time_shift_type": "exponential", | |
| "training_shift": 1.0, | |
| "use_beta_sigmas": false, | |
| "use_dynamic_shifting": false, | |
| "use_exponential_sigmas": false, | |
| "use_karras_sigmas": false | |
| } | |