stable-diffusion.cpp/docs/taesd.md

Using TAESD to faster decoding

You can use TAESD to accelerate the decoding of latent images by following these steps:

• Download the model weights.

Or curl

curl -L -O https://huggingface.co/madebyollin/taesd/resolve/main/diffusion_pytorch_model.safetensors

• Specify the model path using the --taesd PATH parameter. example:

sd-cli -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat" --taesd ../models/diffusion_pytorch_model.safetensors