Comments (5)
You have to use the option "--bundle-resources-for-swift-cli" then specify that path for the "--resource-path".
from ml-stable-diffusion.
I have.
from ml-stable-diffusion.
What does your "mlpackages" directory look like?
from ml-stable-diffusion.
When you are using the download script from here https://huggingface.co/blog/diffusers-coreml
You have to change line 6 and 7 to the following:
repo_id = "apple/coreml-stable-diffusion-2-base"
variant = "original/compiled"
I guess you have not downloaded the compiled models.
from ml-stable-diffusion.
python -m python_coreml_stable_diffusion.torch2coreml --convert-unet --convert-text-encoder --convert-vae-decoder --convert-safety-checker -o ./models --bundle-resources-for-swift-cli
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Related Issues (20)
- Flag quantize-nbits returns error HOT 9
- SDXL produces black output images when given a starting image HOT 3
- SDXL Turbo support? HOT 5
- EnumeratedShapes horrible performance
- How to modify or update the model weight in swift? HOT 2
- Crashes on getting `currentImages`
- When will training be implemented?
- Torch2coreml multiprocessing
- Won't work on GPU on macOS 14.4 Beta 1 due to CoreML bug HOT 3
- Chunk Size for Einsum and Einsumv2 attention vs Resolution HOT 2
- CGImage extension method planarRGBShapedArray seems to leak memory
- Roadmap for this branch
- LCM scheduler HOT 2
- webui.sh missing HOT 1
- Question about chunking UNET HOT 1
- Question about quantization in torch2coreml
- Custom Pipeline
- Input X contains infinity - Error when converting quantized SD-Turbo HOT 3
- Mixed Palettization of SD 1.5 LCM model HOT 4
- Plz supprot Stable Cascade!
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