Instructions to use joeynyc/Ming-Image-0.1-Design-mflux-q8-te8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mflux
How to use joeynyc/Ming-Image-0.1-Design-mflux-q8-te8 with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use joeynyc/Ming-Image-0.1-Design-mflux-q8-te8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ming-Image-0.1-Design-mflux-q8-te8 joeynyc/Ming-Image-0.1-Design-mflux-q8-te8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download ming_mlx_conversion.json from joeynyc/Ming-Image-0.1-Design-mflux-q8-te8: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/joeynyc/Ming-Image-0.1-Design-mflux-q8-te8/resolve/main/ming_mlx_conversion.json
- Command line
-
hf download hf://joeynyc/Ming-Image-0.1-Design-mflux-q8-te8/ming_mlx_conversion.json
-
curl -L -o ming_mlx_conversion.json https://huggingface.co/joeynyc/Ming-Image-0.1-Design-mflux-q8-te8/resolve/main/ming_mlx_conversion.json
320 Bytes
| { | |
| "source": "inclusionAI/Ming-Image-0.1-Design", | |
| "quantize": 8, | |
| "text_encoder_quantize": 8, | |
| "size_gb": { | |
| "connector": 1.39, | |
| "mllm": 16.97, | |
| "mlp": 0.06, | |
| "scheduler": 0.0, | |
| "transformer": 6.54, | |
| "vae": 0.25 | |
| }, | |
| "total_gb": 25.22, | |
| "converter": "mflux ming_image (tools/convert_ming.py)" | |
| } |