Instructions to use MATLOWAI/MOSS-Image-SFT-DeBand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use MATLOWAI/MOSS-Image-SFT-DeBand with Diffusion Single File:
# 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
Download images/cinematic_viking_setups.jpg from MATLOWAI/MOSS-Image-SFT-DeBand: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/MATLOWAI/MOSS-Image-SFT-DeBand/resolve/main/images/cinematic_viking_setups.jpg
- Command line
-
hf download hf://MATLOWAI/MOSS-Image-SFT-DeBand/images/cinematic_viking_setups.jpg
-
curl -L -o cinematic_viking_setups.jpg https://huggingface.co/MATLOWAI/MOSS-Image-SFT-DeBand/resolve/main/images/cinematic_viking_setups.jpg
3.56 MB

- Xet hash:
- 3b0808a0c04b8513724484846046645da28d82a97fa0fe2cf9305566f5fd455d
- Size of remote file:
- 3.56 MB
- SHA256:
- 4527f0b5d80663108f231ae47ca1e90094fca4b92975d797a47cf4c2b9dbc4fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.