Instructions to use lvladikov/FIBO2-Edit-Turbo-T2I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use lvladikov/FIBO2-Edit-Turbo-T2I with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download lvladikov/FIBO2-Edit-Turbo-T2I --local-dir FIBO2-Edit-Turbo-T2I
- mflux
How to use lvladikov/FIBO2-Edit-Turbo-T2I 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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download requirements-mlx.txt from lvladikov/FIBO2-Edit-Turbo-T2I: direct link, hf CLI and curl.
- Browser
- Download file 468 Bytes
-
https://huggingface.co/lvladikov/FIBO2-Edit-Turbo-T2I/resolve/main/requirements-mlx.txt
- Command line
-
hf download hf://lvladikov/FIBO2-Edit-Turbo-T2I/requirements-mlx.txt
-
curl -L -o requirements-mlx.txt https://huggingface.co/lvladikov/FIBO2-Edit-Turbo-T2I/resolve/main/requirements-mlx.txt
468 Bytes
| # fibo2_edit_turbo_t2i_mlx.py, Apple silicon only: pip install -r requirements-mlx.txt | |
| # Tested with mlx 0.32.4, mlx-vlm 0.7.8, transformers 5.21, huggingface_hub 1.33, Pillow 12.3, numpy 2.5 | |
| mlx>=0.32.4 | |
| mlx-vlm>=0.7.8 | |
| transformers>=5.14 | |
| huggingface_hub | |
| Pillow>=10.3 | |
| numpy | |
| # Optional: PyTorch draws the starting noise when it is installed, so a seed gives the same image as | |
| # fibo2_edit_turbo_t2i.py (pip install torch); without it, MLX's own random generator is used | |