Core ML Converted Model
This model was converted to Core ML for use on Apple Silicon devices using the following Python script, following Apple's instructions here:
python -m python_coreml_stable_diffusion.torch2coreml \
--model-version stabilityai/stable-diffusion-2-1-base \
--convert-unet \
--convert-text-encoder \
--convert-vae-decoder \
--convert-safety-checker \
--chunk-unet \
--attention-implementation SPLIT_EINSUM_V2 \
--compute-unit CPU_AND_NE \
--bundle-resources-for-swift-cli \
-o models/stable-diffusion-2-1/split_einsum_v2/compiled
Read more about the conversion process at: Convert Your Own Model.
This model it's intended for testing purposes within the expo-stable-diffusion
module.
Inference API (serverless) does not yet support Core ML models for this pipeline type.