Instructions to use Avdpro/FlashHead-Pro-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/FlashHead-Pro-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/FlashHead-Pro-MLX --local-dir FlashHead-Pro-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download Model_Pro/diffusion_pytorch_model.safetensors from Avdpro/FlashHead-Pro-MLX: direct link, hf CLI and curl.
- Browser
- Download file 6.03 GB
-
https://huggingface.co/Avdpro/FlashHead-Pro-MLX/resolve/main/Model_Pro/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Avdpro/FlashHead-Pro-MLX/Model_Pro/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Avdpro/FlashHead-Pro-MLX/resolve/main/Model_Pro/diffusion_pytorch_model.safetensors
6.03 GB
- Xet hash:
- 79d3224f4297fd75d4aee30885694105f7688adad21bad92ed3fab03b5f1fb86
- Size of remote file:
- 6.03 GB
- SHA256:
- e47e61b9023ea1aac60c0c0fff077289bc6cca443c71907e5a76a411480af250
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