* Initial support for SDXL refiner
* Cleanup
* Add arg for converting Unet in float32 precision
* Setup scale factor with pipeline in CLI
* Update cli arg and future warning
* Bundle refiner unet if specified
* Update script for bundled refiner
- Also skip loading model if check_output_correctness is missing, since the model does not require inferencing at conversion time
* Flip skip_model_load bool
* Cleanup
* Support bundled UnetRefiner
* Add seperate refiner config value
- Includes unloading base unet when swapping to refiner
* Update readme for SDXL refiner
* Add condition for new SDXL coreml input features
* Revert pipeline interface change, add extra logging on pipe load
* Reset model_version after refiner conversion
* Reset model_version before refiner conversion but after pipe init
* Add refiner chunking
* Ensure unets are unloaded for reduceMemory true
* Handle missing UnetRefiner.mlmodelc on pipeline load
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Prewarm refiner on load, unload on complete
* Force cpu_and_gpu for VAE until it can be fixed
* Include output dtype of np.float32 for all conversions
* Allow a custom VAE to be converted.
* Revert hardcoded reduceMemory
* Fix merge
* Default chunking arg for --merge-chunks-in-pipeline-model when called from torch2coreml
---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* add controlnet tentatively
* add controlnet in python code
* implement swift part
* support 8-bit quantization
* add controlnet unload when reduce memory
* remove irrelevant changes
* add more description about controlnet option in swift
* fix some for pr and update README
* pre-allocate zero shapedArray + make multi-controlnet faster
* Add Encoder model to torch2coreml for image2image
and later for in-paining
* diagonal test with randn
* Revert "diagonal test with randn"
This reverts commit 270afe1bb970c9413d3c3c9d09c0bd4f2dcbfa19.
* readme updates for encoder
* pr comments
* Add brief instructions to download weights from the Hub.
This should be convenient and time-saving for many users.
* Capitalize ORIGINAL.
* Expand git lfs details.
* Make download code robust to symlinks.
coremltools seems to not like symlinks.
* Add mention to demo app.
* Add steps to git lfs process.
* Minor text change.
* Apply suggestions from review.
Adrian (Mircea) Nenu