Instructions to use rootlocalghost/LongCat-Image-Edit-Turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rootlocalghost/LongCat-Image-Edit-Turbo-FP8 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-FP8")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rootlocalghost/LongCat-Image-Edit-Turbo-FP8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload FP8 quantized text_encoder/model-00003-of-00005.safetensors
Browse files
text_encoder/model-00003-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:01eddacd26408152225524a130be3585ca68af353e5eaf3eb477f0d40eb3f3e3
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size 1932369000
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