Instructions to use rootlocalghost/LongCat-Image-Edit-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rootlocalghost/LongCat-Image-Edit-Turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="rootlocalghost/LongCat-Image-Edit-Turbo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rootlocalghost/LongCat-Image-Edit-Turbo", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 14d2cb1bb2d079d3e8c2bd0cfee5593bf800290cf02ed5ab7f59587e3c438e39
- Size of remote file:
- 924 kB
- SHA256:
- 7e8ef3bda867263ca3bd14695c81a6c97a82511995a5899572e99ea3afb51a3a
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