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:
- 6bc59ff76dd4725a7f98a61c868f12cdc6aace8fcaa66c4afbf405dfa2dd5fc1
- Size of remote file:
- 3.9 GB
- SHA256:
- e97b877e47fde53a6c6e77aafb36e58e91ee9d95c4a3eeac6f1b5c0e6a1c986e
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