Instructions to use TheLitttleThings/DiffusionTest1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheLitttleThings/DiffusionTest1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("TheLitttleThings/DiffusionTest1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 16/flax_model.msgpack from TheLitttleThings/DiffusionTest1: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/16/flax_model.msgpack
- Command line
-
hf download hf://TheLitttleThings/DiffusionTest1/16/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/16/flax_model.msgpack
852 MB
- Xet hash:
- d5f10638802ba268baa80a2134ca96d8c63133041db9df0bbaefc22746cbef27
- Size of remote file:
- 852 MB
- SHA256:
- 08a518c66ea64d7e493d11860c03663754e075a5876de0eeb1c1c43b0271f2da
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