Instructions to use vantagewithai/LongCat-Image-Edit-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vantagewithai/LongCat-Image-Edit-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="vantagewithai/LongCat-Image-Edit-GGUF")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vantagewithai/LongCat-Image-Edit-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92370ea87eab47ee1e7b935757fb7addff05c3766b1ef19ba65cc393b75bb1a5
- Size of remote file:
- 2.78 GB
- SHA256:
- fc117c8543618ac873f060c3362919ff466d6344bd3b125a1bf99a306ba9492f
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