Upload foo.txt

original/foo.txt

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+SDXL Diffusers to Core ML
+
+Put the diffusers folder to convert into this folder and run:
+
+conda activate coreml_stable_diffusion
+
+cd /Users/jrittvo/miniconda3/scripts/SDXL
+
+
+SDXL base:
+
+python -m python_coreml_stable_diffusion.torch2coreml --convert-text-encoder --convert-vae-decoder --convert-vae-encoder --convert-unet --model-version "./sdxl-b" --compute-unit CPU_AND_GPU --attention-implementation ORIGINAL --quantize-nbits 8 --bundle-resources-for-swift-cli --xl-version -o "./sdxl-b-8bit"
+
+
+SDXL refiner:
+
+python -m python_coreml_stable_diffusion.torch2coreml --convert-text-encoder --convert-vae-decoder --convert-vae-encoder --convert-unet --model-version "./sdxl-r" --compute-unit CPU_AND_GPU --attention-implementation ORIGINAL --quantize-nbits 8 --bundle-resources-for-swift-cli --xl-version -o "./sdxl-r-8bit"
+
+Combined:
+
+python -m python_coreml_stable_diffusion.torch2coreml --convert-text-encoder --convert-vae-decoder --convert-vae-encoder --convert-unet --xl-version --model-version stabilityai/stable-diffusion-xl-base-1.0 --refiner-version stabilityai/stable-diffusion-xl-refiner-1.0 --bundle-resources-for-swift-cli --attention-implementation ORIGINAL --quantize-nbits 8 -o "./sdxl-br-8bit"